Nurix Therapeutics is a clinical stage biopharmaceutical company focused on the discovery, development, and commercialization of targeted protein degradation medicines, the next frontier in innovative drug design aimed at improving treatment options for patients with cancer and inflammatory diseases. Powered by a fully AI-integrated discovery engine capable of tackling any protein class, and coupled with unparalleled ligase expertise, Nurix’s dedicated team has built a formidable advantage in translating the science of targeted protein degradation into clinical advancements. Nurix aims to establish degrader-based treatments at the forefront of patient care, writing medicine’s next chapter with a new script to outmatch disease.

Job Summary:

As a key member of the cross-functional Development Team responsible for providing regulatory writing expertise and leadership to formulate the writing strategy for key regulatory documents for submission. The Sr. Director, Head of Regulatory & Medical Writing will be responsible for providing guidance to the medical and or regulatory writing group (contractors and internal writers) assigned to deliverables and ensuring appropriate work allocation and document preparation.; will also provide review and substantive editing of documents to ensure delivery of high-quality documents. This individual will work effectively with many other functional groups, including with Clinical Scientist(s), Medical Monitors, Regulatory and other functions as applicable, and collaborate with clinical medical writing as applicable to ensure scientific excellence in the execution of clinical trials. The Head of Regulatory Writing will build a medical writing group internally when appropriate.

Reporting to the SVP, Head of Regulatory Affairs, this role will be responsible for the regulatory writing & medical writing deliverables of assigned project(s), in accordance with the agreed timelines and quality standards.

Responsibilities:

• Ensure appropriate allocation of internal and external resources needed for all regulatory writing deliverables.
• Hire and manage medical writers internally and manage external medical writing contractors.
• Forecasting and maintaining budget for the regulatory writing team.
• Assess efficiencies, help identify areas of improvement and initiate improvement processes.
• Coordinate, author and edit documents used to support clinical trial conduct and reporting including but not limited to:
• Clinical study protocols and clinical protocol amendments (in partnership with Clinical Science/Clinical Development)
• Clinical study reports
• Investigator’s brochures and annual updates
• IND submissions and annual reports
• Lay-person summary
• Integrated summary reports
• Clinical, Nonclinical and Multidisciplinary Information Amendments
• NDA, BLA, MAA, (e)CTD submissions
• Risk Management Plans
• Health Authority responses
• Briefing Documents, ODDs, BTDs/PRIME, FTD etc
• Participate in relevant subteam(s) and ensure effective planning and management of timelines for all components of assigned documents across all projects.
• Participate in document strategy sessions, including messaging, document flow, logic, and consistency for assigned projects.
• Support and develop deliverables required for global transparency and disclosure requirements (e.g., plain language lay summary, applicable redactions to regulatory documents subject to EU posting regulations and results for EU CTR).Partner with Biometrics in developing standard TFLs and in text tables for deliverables as applicable
• Maintain and support developing and reviewing standard processes and templates.
• Review and edit documents as required.
• Work effectively and lead in cross-functional working groups.

Qualifications:

• Candidates must have a BS with 15+ years, or MS or other advanced science degree (e.g.: RN, NP, MSN, PharmD, PhD, MD) with 10+ years of experience in oncology clinical research experience as a clinical or regulatory medical writer within the pharmaceutical/biotech industry.
• Prior experience leading a regulatory writing group
• Experience writing/leading the writing of critical clinical documents in major regulatory filings (NDA, BLA, MAA).
• Proficiency in the use and understanding of computer software e.g. word processing, graphics, reference manager, document management systems.
• Familiarity with all phases of drug development processes (discovery to market), clinical study protocol design, CTA/IND submissions, investigator’s brochures and clinical study data collection and results reporting.
• Advanced knowledge of routine document content preparation, including the use of style guides, medical dictionaries, and regulatory guidance documents and templates.
• Experience writing, at a minimum, protocols (Phase 1-3, in oncology), investigator’s brochures, clinical study reports, Health Authority briefing packages, and Health Authority responses. Experience with Pediatric Investigational Plans (PIPs) is preferred.
• Advanced understanding/knowledge of regulatory requirements and drug development processes, Good Clinical Practice (GCP), regulatory requirements and guidelines associated with regulatory documents (e.g., protocols, investigator brochures, and clinical study reports).
• Ability to interpret and summarize complex tabular and graphical data presentations.
• Strong organization, documentation and communication skills with an ability to multitask.
• Adaptable / flexible, willing and able to adjust to multiple demands and shifting priorities; ability to meet day-to-day challenges with confidence and professionalism.
• Detailed knowledge of GCP, ICH Guidelines and current US FDA regulations.

Nurix Therapeutics, Inc. is committed to protecting and respecting your privacy and personal information, including information collected by Nurix when you apply for a job with Nurix or in the course of your employment with Nurix. By applying for a position at Nurix, you agree to our collection and use of personal information as described in our Privacy Policy (https://www.nurixtx.com/privacy-policy/).

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

About the Team: Mission Engineering at CHAOS turns simulation output into decisions. We run large-scale modeling and simulation campaigns across all warfighting domains and the full kill chain, against named threats, in operationally relevant scenarios, at the speed engineering, operational, and customer teams actually need. Every CHAOS engineering trade, pursuit, and customer engagement is anchored in rigorous, physics-based, tactically relevant, and statistically valid analysis, and we're scaling the function to meet that bar across a growing product portfolio.

About the Role: You will own statistical methodology for the Mission Engineering team at CHAOS. You'll design experimental constructs that extract meaningful signals from broad trade studies and computationally expensive simulation runs, build the analytical pipelines the team relies on, push the methodological state of the art on how we characterize uncertainty, build surrogate models, and communicate quantitative results to decision-makers. You will work shoulder-to-shoulder with engineers and experts in every domain to ensure that simulated, experimental, and tactical results presented by CHAOS are rigorous, reproducible, and actually deliver answers that our teams, customers, and partners need

This is a foundational hire. You will have the freedom to move fast and set the standards for how CHAOS does quantitative analysis from day one.

What You'll Do:

• Design rigorous experimental constructs (DOE, space-filling designs, adaptive sampling, sequential experimentation) for large-scale simulation campaigns, getting maximum signal per simulation hour across operationally relevant trade spaces.
• Apply advanced statistical methods (such as regression modeling, Bayesian inference, surrogate/metamodeling, sensitivity analysis, uncertainty quantification, and beyond) to simulation output to produce decision-quality conclusions.
• Build and own scalable Python-based data pipelines for ingestion, processing, statistical analysis, and visualization of large simulation datasets.
• Develop ML and statistical surrogate models that accelerate analysis, enable real-time trade studies, and feed mission planning applications.
• Set team standards for data management, reproducibility, and statistical rigor (such as code review, methodology validation, and documentation practices).
• Translate operational and engineering questions into well-structured analytical approaches alongside M&S engineers, threat SMEs, and program staff. Push back when the framing is wrong.
• Author technical reports and briefing materials with clear, honest data visualizations; present quantitative results to senior technical and non-technical audiences in language they can act on.
• Mentor peers and cross-functional teams on experimental design, statistical methodology, and reproducible analysis.
• Support programs spanning DoD services, DARPA, intelligence community, and commercial customers.

Required Qualifications:

• Bachelor's degree or higher in Statistics, Data Science, Mathematics, Artificial Intelligence, a related quantitative field, or equivalent demonstrated expertise in modern statistical methodology.
• 7+ years applying advanced statistical and data science methods, ideally supporting defense, intelligence, or advanced technology programs.
• Deep working expertise in experimental design, regression and Bayesian methods, uncertainty quantification, and surrogate modeling, not just textbook familiarity.
• Strong proficiency working in Python, including scientific computing and ML libraries (especially Pandas, Polars, NumPy, SciPy, Scikit-Learn, Statsmodels, PyMC, Matplotlib, Seaborn, CuPy, PyTorch), and exposure to MATLAB or R.
• Demonstrated experience building scalable analytical pipelines for large datasets, including comfort with terabyte-scale data and modern dataframe tooling.
• Exceptional data visualization skills and the ability to develop briefing-quality technical products.
• Strong software development practices: version control, code review, reproducible workflows, and informed use of AI-assisted coding tools.
• Track record of working independently, taking ownership of ambiguous problems, and delivering with minimal oversight.
• Comfortable working with Linux operating systems and writing scalable scripts/software.
• Exceptional written and verbal communication skills, especially in translating quantitative approaches and results for non-technical audiences.
• Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance.

Preferred Qualifications:

• Master's or PhD in Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field.
• Direct experience applying statistical methods to outputs from military simulations including high fidelity engineering models, war games, and engagement or mission-level combat simulations such as AFSIM, ESAMS, Brawler, or Ansys STK.
• Expertise designing and analyzing large-scale Monte Carlo and DOE-driven simulation campaigns supporting full kill chain or system effectiveness assessment.
• Experience in developing surrogate models, simulations, machine learning, or artificial intelligence models for engineering and operations analysis applications.
• Familiarity with sensor performance analysis (radar, EO/IR, RF, acoustic), weapon effectiveness analysis, or mission-level engagement analysis.
• Experience with HPC environments and distributed computing frameworks (including scalable cloud services and GPU-accelerated computing).
• Leadership experience: mentoring or leading project teams through complex analytical efforts.
• Substantial experience in communicating statistical methods to both technical and non-technical stakeholders and decisionmakers.
• Experience supporting rapid development programs for DoD contractors, combatant commands, research labs, and acquisition communities.
• Active TS/SCI clearance.

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

Role

We are looking for a Principal Machine Learning Engineer to join our ML/AI team. This is a hybrid role based in San Jose, CA, reporting to the VP, AI and ML within the Engineering department.

You will drive innovation within our growing ML/AI team, focusing on critical cybersecurity use cases like agentic frameworks, threat detection, and anomaly detection. Your work will enable organizations worldwide to harness speed and agility through a cloud-first strategy while solving complex security challenges at scale.

What you’ll do (Role Expectations)

• Lead the design and development of cutting edge, production ready AI/ML systems and pipelines, cybersecurity applications and provide technical guidance to junior and mid-level engineers

• Optimize existing machine learning pipelines for improved efficiency and scalability

• Explore and experiment with advanced AI techniques and architectures to solve complex cybersecurity problems while staying updated on the latest advancements in AI

• Collaborate with cross-functional teams to define project requirements and ensure alignment with business objectives

• Ensure systems and applications meet reliability, scalability and performance requirements

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Bachelor's degree in Computer Science, or a related technical field

• 10+ years of experience as a Machine Learning Engineer or Scientist, with a proven track record of delivering successful projects in cybersecurity

• Strong proficiency in Algorithms, Game Theory and Optimization, Verification, and ML libraries and frameworks

• Extensive experience in data modeling, feature engineering, model development, and error analysis

• Excellent communication skills with the ability to translate complex technical concepts to stakeholders and peers

What Will Make You Stand Out (Preferred Qualifications)

• Proven track record of designing, building and shipping end-end applications at scale, with familiarity with multi-agent systems and orchestration frameworks

• Deep expertise with cloud infrastructure such as AWS or GCP for AI workloads

• Strong experience with agent architectures and SOTA AI frameworks, along with contributions to open-source ML projects or top-tier research publications

#LI-JM1 #LI-Hybrid

Staff GenAI Research Scientist - Retrieval

P-1214

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Job Description 

As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Staff Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.
• Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.
• Drive algorithmic innovations for Retrieval within Large Language Models. 
• Experience with Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality. 

What We Look for

• 5+ years of 
• PhD in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval 
• Developing and implementing methods that extend and improve model capabilities, reliability, and safety. 
• Strong preference for candidates with first-author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPs) focused on optimization or efficiency.

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description 

As a Sr. Research Scientist on the Scaling team, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Sr. Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on foundation model efficiency in model training and reinforcement learning, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches
• Drive algorithmic innovations for large-scale neural network training or inference (e.g., novel optimizers, low-precision techniques, model adaptation methods)
• Optimize ML systems for distributed training, memory efficiency, and compute efficiency through hands-on implementation.

What We Look for

• MS/PhD in Computer Science or related field with strong foundations in machine learning and systems
• Proven ability to write high-quality, efficient code in Python and PyTorch for research implementation and experimentation
• Strong preference for candidates with first-author publications at top ML/systems conferences (ICLR, ICML, NeurIPS, MLSys) focused on optimization or efficiency.

Tech Lead – Data Scientist

About the Role

We are looking for a Technical Lead to drive the development of Obsidian's core ontology that powers our groundbreaking unified security config analysis, AI security, and threat detection product.

• Scale this ontology as part of a team of 3-6 software engineers and data scientists to cover hundreds or thousands more enterprise application platforms. Drive automation of repeatable R&D subtasks.
• Become an expert on foundational identity, authentication, authorization, network, and data security concepts. An unhealthy dose of curiosity about the design and administration — technology, people, and process — of complex application platforms such as GitHub, Salesforce, and Workday is a must. You will love exploring rabbit holes into esoteric domain knowledge related to these topics.
• Formulate security problems as data and ML problems, constantly addressing and refining the customer outcome in collaboration with top-flight security teams from Global 1000 companies.

What We’re Looking For

• 6+ years of experience in data science, machine learning, or applied research, preferably with 2+ years in a technical leadership role.
• A track record of shipping production ML or data systems at scale — ideally systems involving ontologies, knowledge graphs, entity resolution, or semantics over heterogeneous data sources.
• Expert-level proficiency in Python and modern ML/data tooling.
• Working knowledge of core security domains, or a strong ability to learn.
• Experience formulating fuzzy business or security problems as concrete ML/data problems:
• able to decompose ambiguous, ambitious problems into well-scoped subproblems and design experiments with statistical rigor.
• comfortable being scrappy and diving deep into vendor documentation, APIs, and audit logs to find the necessary data sources

• Excellent written and verbal communication skills; ability to engage credibly with technical security practitioners at large enterprises.

We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to bridge the gap between advanced research and production-grade ML systems. You will be a key technical leader and partner to our Research Scientists, driving the evolution of our AI algorithms through rigorous data science methodologies, strategic data curation, and cross-functional leadership.

Job Responsibilities:

• Vision & Cross-Functional Leadership: Engage with cross-functional teams (Product, Research, Engineering, and Process Engineering) and help guide the overarching vision for data analysis, curation, and annotation to improve our AI models. Drive the definition of algorithm and data requirements necessary to deliver on end-point objectives.
• Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable multiple, large-scale annotation campaigns for continuous AI product improvements. Spearhead the strategic design of data campaigns needed to advance AI algorithms.
• Advanced Data Curation & Management: Develop comprehensive data curation strategies for improvements to AI models. Partner with MLOps to architect data management systems for algorithm training and performance validation, and establish data dashboards and monitoring reports.
• Performance Evaluation and Statistical Analysis: Establish frameworks and develop tools to rigorously evaluate the strengths and weaknesses of model iterations across patient populations. Design and oversee data analyses using statistical techniques to illuminate the performance of our AI algorithms.

Required Qualifications:  

• Education: Masters or PhD Degree in Engineering, Computer Science, Statistics, Data Science or related degree.
• Work Experience: 7+ years (or 5+ with PhD) of proven track record in Data Science, Machine Learning, Computer Vision, or Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI problems in medical imaging or computer vision requiring careful consideration of data needs.
• Software: Proficient in Python, including statistical and machine learning packages (e.g. scipy, sklearn, statsmodels, seaborn) with a commitment to writing clean, reproducible and scalable code. Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like 3DSlicer and MITK, a plus.
• Statistics: Understanding of standard statistical techniques and ability to apply appropriate statistical methods to a range of data structures; experience with medical imaging data a plus.
• Data Management: Experience working with data lakes, SQL/No SQL Databases, AWS Cloud Storage, Tableau dashboards.
• AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred.
• (Preferred) Proficiency in Agentic AI Tools: Experience integrating generative AI and agentic tools into daily workflows to act as a force multiplier—accelerating coding, prototyping, and complex data analysis—while demonstrating the critical judgment required to rigorously evaluate AI outputs for accuracy.
• Communication: Excellent written and verbal communication. Detail orientated but able to describe complex topics in a manner that is digestible to a broad audience. Ability to distill complex analyses into interpretable and actionable findings.
• Commitment: Committed to the success of the team and successful completion of project - 75% confidence / 100% committed.
• Influence without Authority: Able to build trust and obtain cross-functional alignment across departments.

A reasonable estimate of the base salary compensation range is $220,000 to $280,000, bonus, and equity. #LI-IB1 #LI-Hybrid

About the Role
As a Senior Research Associate Scientist in the Protein Engineering group, you will be a crucial member of our interdisciplinary team, comprising highly creative and talented individuals with exceptional expertise in protein characterization and engineering. This group is responsible for enabling AI drug discovery efforts and optimizing lead molecules. You will work collaboratively with protein designers, biologists, and other drug discovery team members.

We’re looking for an extraordinary library builder who can design, generate and scale complex DNA assemblies for our protein engineering and display teams. This role requires extensive experience with combinatorial, designed and naive library building with the relevant microbiological and protein level expertise to express & qualify them once built. This hands-on role is best for someone who can keep NGS, protein biochemistry, and DNA assembly needs in mind when building complex libraries at speed. 

About You
You are an enthusiastic protein biochemist who takes pride in your bench execution skills. Your passion lies in display technology, drug discovery and developing novel treatments for patients. You are conscientious, detail-oriented, and organized. Collaboration comes naturally to you, and you thrive in a fast-paced environment where pushing the boundaries of what is possible is the norm.

What You'll Do and Learn

• Design and apply multiple innovative selection techniques utilizing synthetic libraries, like phage, yeast display, and mammalian display. 
• Utilize FACS sorting, plate-based screening, and NGS to identify binders.
• Setup and use automation to further rank leads for affinity and function. 
• Collaborate with cross-functional teams to troubleshoot protein reagents. 
• Train and mentor junior team members, providing guidance on experimental design, data analysis, and troubleshooting.
• Maintain accurate and detailed records of experiments, protocols, and results in accordance with company standards and regulatory requirements.
• Interpret and present scientific findings at research meetings. Provide scientific input and propose follow-up experiments.
• Collaborate and communicate across diverse research teams to successfully achieve scientific goals.
• Contribute to scientific publications, patents, and presentations to disseminate research findings both internally and externally.

Qualifications

• Bachelor of science or master degree in Molecular Biology, Protein Biochemistry, or related fields with 5+ years of industrial experience.
• Hands-on experience with yeast display system and library building.
• Cloning complex assemblies with multi-part golden gate, gibson, and other techniques
• Experience with DNA synthesis CROs.
• High proficiency in yeast display to protein targets, soluble and membrane.
• Proficiency in molecular and cell biology techniques, such as DNA extraction, PCR, enzymatic DNA treatments and library preparation QC for NGS..
• Mammalian tissue culture.
• Antibody engineering and discovery experience.
• Flow cytometry experience (both analytical and sorting). 
• Excellent analytical and problem-solving skills, with meticulous attention to detail.
• Strong written and verbal communication skills, with the ability to effectively present complex scientific concepts to both technical and non-technical audiences.
• Ability to work effectively in a collaborative, multidisciplinary team environment, fostering cooperation and knowledge-sharing among team members.
• Experience using LIMS and Benchling systems.

Nice to have Skill(s)

• Experience in protein purification techniques (including affinity, ion exchange, HIC, SEC) and in chromatography hardware and software (Cytiva AKTA, Agilent HPLC).
  
  

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $110,000 - $138,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
Xaira Therapeutics is seeking a lab-based Senior Scientist in Inflammation and Immunology to join our Biology & Pharmacology department. This role is ideal for someone who thrives in a hands-on research environment, has experience working with primary human or mouse immune cells and ex vivo tissue systems, and is excited to help shape therapeutic program strategy.

In this role, you will investigate disease biology and drug mechanisms, generate actionable data, and contribute to advancing therapeutic programs through cross-functional collaboration.

What You’ll Do

• Drive preclinical programs by designing and executing in vitro and in vivo studies that explore disease biology, target validation, and lead candidate development.
• Identify knowledge gaps, ask critical mechanistic questions to guide program direction, and evaluate novel targets and therapeutic strategies.
• Dissociate human tissue biopsies into single-cell suspensions or establish human tissue slice cultures for downstream functional or phenotyping assays.
• Lead immune profiling and functional characterization using high-parameter flow cytometry (15+ colors or spectral platforms), functional assays (T cell activation, differentiation, proliferation, suppression), and molecular/cytokine profiling (MSD, Luminex, qPCR, RNA sequencing).
• Translate experimental data into actionable insights and clearly communicate findings and recommendations to cross-functional teams.

What We’re Looking For

• PhD in Immunology or a related field with 3+ years of relevant experience; industry experience preferred.
• Track record of impact through publications, presentations, or applied research.
• Hands-on experience with primary human or mouse immune cells and/or ex vivo tissue systems.
• Strong expertise in flow cytometry, including high-parameter panel design, execution, and data analysis.
• Proven ability to independently plan, execute, troubleshoot, and interpret experiments.
• Highly organized, with the ability to manage multiple workstreams in a fast-paced environment.
• Clear communicator who can distill complex data into actionable insights.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $140,000 - $170,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role

You are an enthusiastic protein biochemist who takes pride in your bench execution skills. Your passion lies in display technology, drug discovery and developing novel treatments for patients. You are conscientious, detail-oriented, and organized. Collaboration comes naturally to you, and you thrive in a fast-paced environment where pushing the boundaries of what is possible is the norm.

Responsibilities

• Build, adapt, and automate display systems to facilitate AI antibody design. 
• Establish, develop, and/or optimize cutting edge technologies to enable data generation at scale for AI model training or evaluation
• Design and apply multiple innovative selection techniques to provide data at scale based on ML training needs. 
• Design, setup, optimize, and use automation to characterize affinity and function at the clonal level. 
• Contribute to the preparation of technical reports and presentations.
  
  

Qualifications

• Significant hands-on experience with protein display techniques such as yeast and/or phage display. Experience in library design, build, panning/sorting and validation. 
• Bachelor of Science or Master’s degree in Molecular Biology, Biology, Biochemistry, or related fields with 2-6 years of industrial experience.  . 
• Familiarity with antibody binding assays and automating them (ELISA, SPR, FACS).
• Proficiency in molecular and cell biology techniques, including mammalian tissue cell culture, and basic skills in molecular biology labs.
• Working knowledge of software and programming for large data set analysis.
• Excellent analytical and problem-solving skills, with meticulous attention to detail.
• Strong written and verbal communication skills, with the ability to effectively present complex scientific concepts to both technical and non-technical audiences.
• Ability to work effectively in a collaborative, multidisciplinary team environment, fostering cooperation and knowledge-sharing among team members

Schedule Flexibility: Due to the nature of experimental workflows, this role will require availability on weekends (approximately every couple of weeks). 

Employment Type: Contract

Contract Duration: 9 Months

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $45-$60 hourly; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role

We are seeking a driven Scientist and experimentalist who combines strong hands-on molecular biology skills with a creative, critical, and builder-oriented mindset. This role is focused on assisting in the design, construction, and iteration of novel screening platforms and experimental workflows that enable biological discovery at scale.

The ideal candidate is a self-starter who enjoys working in ambiguous problem spaces, thinks deeply about experimental design, and takes ownership of turning early ideas into robust, reproducible systems. You will work collaboratively with other teams, including automation, engineering, and computation, to invent new ways of generating high-quality biological data.

Key Responsibilities

• Develop novel antibody screening technologies and experimental platforms, from early proof-of-concept through scalable, robust workflows
• Design, implement, and optimize screening assays, including biochemical, molecular, and cell-based readouts
• Assist multidisciplinary platform development efforts as a biochemical expert through microbial and mammalian cell line engineering (e.g. cloning, genome editing, expression optimization)
• Apply data-driven and critical thinking approaches to troubleshoot, refine, and improve workflows, enhancing throughput, robustness, and interpretability
• Clearly document experimental workflows, present results, and contribute to shared platform standards while maintaining flexibility for rapid exploration
• Collaborate closely with cross-functional partners (automation, engineering, computation) to integrate biology, data, and technology into cohesive systems

Required Qualifications

• PhD in Molecular Biology, Bioengineering, Biochemistry, or a related field with 1+ years of industry experience, or
  B.S. or M.S. with 8-10 years of relevant industry or applied research experience
• Prior work on platform, workflow, or method development, especially in exploratory or early-stage settings (see examples under Bonus Skills)
• Experience with antibody discovery and engineering workflows, including panning, enrichment, or display-based screening approaches
• Experience with assay development, optimization, and experimental troubleshooting
• Strong hands-on experience in molecular cloning and DNA manipulation
• Experience with cell-line engineering (e.g. E. coli, yeast, mammalian or related systems)
• Demonstrated ability to work independently, think critically, and drive conclusive experiments
• Strong organizational skills and attention to experimental detail

Preferred Qualifications

• Experience with functional antibody screening or protein–protein interaction assays
• Familiarity with high-throughput or semi-automated screening systems
• Experience working with data-rich experimental systems
• Comfort operating in fast-moving, collaborative, and partially undefined problem spaces

Nice to Have

Experience in one or more of the following areas would be a plus:

• Spatial biology technologies (e.g. spatial transcriptomics, in situ or imaging-based assays)
• Single-cell technologies, including single-cell sequencing or high-content single-cell assays
• Microarray-based assays or other multiplexed screening formats
• Microfluidics, particularly for screening, assay miniaturization, or single-cell applications
• High-content imaging or phenotypic screening
• Experience studying or manipulating cell-internal signaling pathways (e.g. receptor signaling, transcriptional regulation, immune signaling, stress responses, or related pathways)
• Protein expression, secretion, or trafficking assays

Compensation: Annual

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $110,000 - $138,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

• Develop multimodal foundation models spanning image and molecular data
• Design approaches that unify representation learning and generative modeling
• Train large-scale models on structured, high-dimensional datasets
• Explore cross-modal alignment, prediction, and generation
• Build scalable systems for data processing, training, and evaluation
• Work in a research-driven environment with evolving problem definitions

• Experience with representation learning (self-supervised, contrastive, masked modeling, etc.)
• Experience with generative modeling (diffusion, autoregressive models, VAEs, or related approaches)
• Proficiency in Python, ML frameworks, and CI/CD (PyTorch, JAX, etc.)

• Work on multimodal learning or cross-domain representation learning
• Experience with image data, molecular / omics-like data, or both
• Familiarity with large-scale training

• Exposure to biological or scientific datasets
• Experience with paired or partially aligned multimodal data
• Comfortable working in open-ended, evolving problem spaces

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $170,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Verana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation – JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings. 

Existing Verana Health investors GV (formerly Google Ventures), Casdin Capital, and Brook Byers also joined the round, as well as notable new investors, including the Merck Global Health Innovation Fund, THVC, and Breyer Capital.

We are driven to create quality real-world data in ophthalmology, neurology, urology, and oncology to accelerate quality insights across the drug lifecycle and within medical practices. Additionally, we are driven to advance the quality of care and quality of life for patients. DRIVE defines our internal purpose and is the galvanizing force that helps ground us in a shared corporate culture. DRIVE is: Diversity, Responsibility, Integrity, Voice-of-Customer and End-Results. Click here to read more about our culture and values.

Our headquarters are located in San Francisco and we have additional offices in Knoxville, TN and New York City with employees working remotely in AZ, CA, CO, CT, FL, GA, IL, LA, MA, MN, NC, NJ, NV, NY, OH, PA, SC, TN, TX, VA, WA, D.C. All employees are required to have permanent residency in one of these states. Candidates who are willing to relocate are also encouraged to apply. 

Candidates based in the Bay Area, New York City, and Knoxville, Tennessee will be give priority consideration. For these locations, the position will follow a hybrid work model, with 3 days per week in office and the remaining days working from home. 

*Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.*

Job Title: Quantitative Scientist

Why This Role Matters:

The Quantitative Scientist will be responsible for executing and providing oversight and guidance on the analytical, statistical and epidemiological components of Verana research projects and data quality initiatives. The primary function of this role will be to conduct, guide, and manage the analytical execution of Verana research projects . The Quantitative Scientist will collaborate cross-functionally to build research capacity and adopt quality standards across Verana's business units.  This position requires an experienced individual with knowledge of statistics, ability to develop and review code with a solid understanding of coding best practices, a strong understanding of epidemiological study designs, as well as excellent communication and interpersonal skills.  In addition, you should be able to continually unearth and present interesting trends that have clinical, research, and business importance for our customers and oncology patients at large.  You will be joining a friendly, high performing and diverse research team with backgrounds in public health, health economics, biology, and statistics.  This role will report to the Vice President, Research.

WHAT WILL YOU GAIN

• Expertise in the oncology real-world data industry, a fast-growing segment of health data
• Experience executing oncology research and analytical/statistical methods to answer key questions for patients, providers, and life science companies

WHAT TO EXPECT IN YOUR FIRST YEAR AT VERANA:

In thirty days, you will:

• Understand the full suite of Verana’s research offerings and analyses
• Understand the research team’s GitHub repo and analysis template 

In three months, you will:

• Contribute to internal and external meetings related to Verana research and analyses
• Gain expert understanding of Verana’s data model  
• Implement clinical specifications on real-world data and add to the suite of functions available for analyses

In six months, you will:

• Personally execute analytical research projects
• Contribute to the development of project collateral, research protocols, abstracts, posters and manuscripts
• Guide and mentor data scientists and analysts 

In one year, you will:

• Lead the analytical execution of Verana’s research projects for life science, provider, and regulatory partners 
• Scope projects to determine feasibility, estimated costs, and expected timelines
• Provide guidance to Verana’s client partners in the use of Verana’s data model and analytical/statistical methodologies 

HOW YOU WILL IMPACT VERANA

• Lead the design and development of Verana research studies from a statistical and analytical perspective
• Contribute to the development of protocols and statistical analysis plans 
• Develop code and produce results as defined in protocols and statistical analysis plans
• Collaborate with physicians, statisticians, data scientists, business leaders, and others within and outside Verana to conduct research projects including observational studies, pharmacoeconomic analyses, and other relevant study types
• In partnership with the Research Team, communicate studies in progress and demonstrate results to key stakeholders through high quality abstracts, posters, and publications
• Manage and mentor a team of data analysts and data scientists, including reviewing code and analytical output
• Contribute to the evolution of Verana’s quality assurance framework, including identifying data quality issues during analysis
• Maintain current and in-depth understanding of real-world data analytical methodologies, along with the ability to lead and mentor internal team members in successfully executing them

WHAT YOU BRING TO THE TABLE

• Masters degree in computer science, statistics, applied math, econometrics, MPH, or similar quantitative field
• 3+ years of relevant research experience in the field of oncology (post-graduation)
• Experience working with real-world data sourced from electronic health records
• Experience analyzing claims data 
• Advanced knowledge of SQL, R programming, and version control (git)
• Deep understanding and experience with descriptive statistics, logistic and multivariate regression analysis, power calculations, propensity score analysis, and survival analysis
• Significant experience developing protocol documents, statistical analysis plans (SAPs), and manuscript tables and figures
• Evidences well-developed conceptual and integrative thinking with ability to access internal and external resources as needed 
• Project implementation and execution, including engagement with key stakeholders, with a high degree of autonomy
• Mentors junior analysts in HEOR and statistical analysis methodologies
• Excellent written and verbal communication skills
• Strong organizational and time management skills 
• Works well independently, as a team member, and as a team leader 
• Comfort working in a fast-paced, dynamic environment

NICE TO HAVE

• Experience implementing data science methodologies
• Understanding of data quality metrics and/or quality management systems

Benefits:

• We provide 100% health, vision, and dental coverage for employees 
• 401K Match
• Flexible vacation plans 
• $700 learning and wellness annual stipend 
• Headspace meditation app access

Final note:

You do not need to match every listed expectation to apply for this position. Here at Verana, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Caution to Job Applicants: Be vigilant against potential scams. Verana Health will never ask for payment or personal information upfront. Verify company details, cross-check job offers, and trust your instincts. Any legitimate job offer will be received by a Verana Health email account (not via gmail, text or other means) Report suspicious activities to protect yourself and others in the job-seeking community.

#LI-REMOTE

The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.

Here’s what you’ll be working on:

Our team is responsible for:

• Conducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers. 
• Evaluating ads integrity: understanding changes and drivers of our complex systems, diagnosing fraud claims and mitigating fraud escalations through a set of input/output metrics of each component.
• Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers

Basic Qualifications

• Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. 
• Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
• Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.

Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).

The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Data Scientist II, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, ML) and customer needs, and provide the data driven insight and scientific solutions.

Here’s what you’ll be working on:

Our team is responsible for:

• Conducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers. 
• Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers
• Evaluating ads system health: understanding changes and drivers of our complex systems, and diagnosing issues through a set of input/output metrics of each component.

Basic Qualifications

• Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. 
• Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• Provide strategic thought partnership to cross-functional teams, leveraging data-driven insights to influence and guide product decisions, roadmap prioritization, and overall business strategy.
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
• Ability to build positive relationships within the DS team and with Product Management, Engineering stakeholders ;work effectively with cross-functional partners in a global company.
• 3+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.
• Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).

About the Role

The impact you'll be contributing to Moloco:
The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams, machine learning teams and data science teams. As an Applied Scientist, you will participate as an individual contributor on research projects alongside other research scientists within the context of a group of cross functional collaborators working in complex multi-causal environments to identify inefficiencies, analyze potential options, and propose solutions. Your work will contribute to driving performance improvements and cost reductions, debugging and investigating production issues, and stabilizing our core system as you develop a deep end-to-end understanding of the system.

Here’s what you’ll be working on:

• Work with other applied scientists on projects to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently.  
• Learn from your senior peers how to identify new areas to improve our infrastructure and machine learning components by understanding internal system changes, external changes, and data changes, and identify and suggest interesting/useful next steps for your projects.
• Complete task as part of larger projects to complete deep unbiased analyses.  
• Implement, and evaluate new algorithms and features in collaboration with senior Applied Scientists, Software Engineers and Machine Learning Engineers.

Basic Qualifications:

• Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems
• At least 4 years of engineering or applied science experience
• Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports
• Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science 
• Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company

OVERVIEW

We are seeking an experienced Senior Data Scientist to join our team to lead the development of analytics and growth strategies across our entire business. The Senior Data Scientist will be responsible for managing and analyzing large data sets, developing statistical models and machine learning algorithms, and providing insights to drive business growth for our retail operations.

RESPONSIBILITIES  

• Support the development of e-commerce and retail analytics and growth strategies, including market research, customer segmentation, and predictive modeling.
• Collaborate with cross-functional teams, including sales, marketing, product, and engineering to develop data-driven solutions that enhance customer experience and drive business growth.
• Develop statistical models and machine learning algorithms to analyze large data sets and identify opportunities to improve business performance.
• Build and maintain dashboards and reports that visualize data insights and performance metrics for executive leadership.
• Communicate complex data insights and models to non-technical stakeholders and translate findings into actionable recommendations.

QUALIFICATIONS

• Bachelor’s or master’s degree in a quantitative field, such as mathematics, statistics, or computer science
• PhD, or M.S. degree in a quantitative discipline such as CS, Statistics, ML, Physics, Economics, or Mathematics preferred
• 5+ years of experience in data science, including experience in DTC, e-commerce, or retail analytics
• Strong proficiency in statistical modeling and machine learning algorithms, such as regression analysis, clustering, and decision trees
• Experience with programming languages such as Python or R and SQL Jupyter, & ML libraries
• Strong communication and presentation skills, with the ability to translate complex data insights to non-technical stakeholders
• Strong leadership and/or management skills, with experience managing and mentoring a team of data scientists
• Proficiency in productionizing algorithms, from data ingest to model management, using AWS and/or Azure
• Self-starter: able to drive projects and take technical leadership of projects
• Experience in start-ups or other fast-paced environments preferred
• Experience and excitement partnering with Data Analytics and Data Engineering
• Currently based in the greater LA area or open to relocation and consent to working onsite 4 days a week

The base salary range for this position is $160,000-$200,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

We’re looking for a hands-on engineering manager to lead Profluent’s Lab Informatics Platform team. This team builds the systems scientists use to design experiments, track samples, capture assay data, integrate with Benchling and lab automation, and make experimental data usable for analysis and machine learning.

The ideal candidate is both an experienced people manager and a strong technical lead. You’ll formally manage and mentor a small team while remaining deeply involved in architecture, data modeling, database design, and technical execution. You’ll work closely with wet-lab scientists, automation engineers, data scientists, and ML experts to build practical, scientist-facing tools that make complex experimental workflows scalable, traceable, and actionable.

Responsibilities 

• Lead, mentor, and grow a software engineering team focused on lab informatics systems, scientific data infrastructure, and scientist-facing applications
• Architect and deliver the roadmap for systems that support sample tracking, assay data capture, Benchling integration, lab automation, experimental metadata, and analysis workflows
• Design robust data models for protein engineering and gene editing experiments, including constructs, samples, reagents, cell systems, assay results, metadata, and experimental lineage across mammalian and bacterial workflows
• Partner closely with scientists to translate complex laboratory requirements into scalable software solutions that accelerate Profluent’s design-build-test-learn cycle
• Build and maintain backend systems, APIs, databases, data pipelines, and web applications using technologies such as Python, Django, PostgreSQL, BigQuery, GCP, and modern development workflows
• Establish strong engineering practices across architecture, code review, testing, CI/CD, documentation, and agile delivery

Qualifications 

• 7+ years of software engineering experience, including at least 2 years managing or leading engineers
• BS, MS, or PhD in Computer Science, Bioinformatics, Computational Biology, Engineering, or a related field, or equivalent experience
• Strong technical leadership skills, with a track record of architecting and delivering production-quality software systems
• Proficiency with Python, backend development, databases, APIs, and modern software engineering workflows
• Experience building lab informatics systems, scientific data platforms, LIMS/ELN integrations, research software, or scientist-facing applications
• Experience with data modeling and database design for complex scientific, operational, or experimental workflows
• Demonstrated ability to work closely with scientists and translate ambiguous laboratory workflows into reliable software systems

Preferences (but not required)

• Experience with Benchling, lab automation, instrument data ingestion, sample tracking, or high-throughput experimental data
• Experience with data generated from mammalian or bacterial cell systems, gene editing, protein engineering, or related biological workflows
• Frontend web development experience and interest in building intuitive scientist-facing user interfaces

What We Offer

• High-growth opportunity with meaningful impact on the future of protein design
• Competitive compensation package with equity participation
• 401(k) with a strong employer match
• Comprehensive benefits including health/dental/vision insurance
• Generous PTO policy and commitment to work-life balance
• Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.

Work Authorization Requirement

Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

The Opportunity:

The DMPK Scientist will be a key member of the Drug Metabolism and Pharmacokinetics (DMPK) team within the Nonclinical Development and Clinical Pharmacology (NDCP) department.

Specifically, you will:

• Design and execute in vitro and in vivo metabolite identification studies using liver microsomes, hepatocytes, recombinant enzymes, and biological samples (blood, plasma, tissue, urine, bile, etc.), and perform metabolite profiling and structural elucidation.

• Characterize major, unique, or disproportionate metabolites to support candidate selection, MIST (Metabolites in Safety Testing) analysis, and metabolite regulatory strategy.

• Design and perform mechanistic studies to understand metabolic pathways and enzyme kinetics; work with pharmaceutical product teams to characterize drug degradation products and impurities.

• Author and review DMPK sections of regulatory submissions and respond to questions from regulatory agencies.

• Build and maintain strong collaborative partnerships across functional areas, e.g., Discovery research, Clinical Pharmacology, Medicinal Chemistry, Pharmaceutical Development, Toxicology, and Translational Research.

Required Skills, Experience and Education:

• A highly motivated individual with a PhD in Pharmaceutical Sciences, Chemistry, Biochemistry, or related field, with 3+ years of experience after graduation.

• Demonstrated hands-on experience in metabolite profiling using high resolution mass spectrometry.

• Solid understanding of drug metabolism, pharmacokinetics, and ADME principles.

• Demonstrated hands-on experience in using PK software (e.g. WinNonlin).

• Excellent verbal and written communication, problem-solving and critical thinking skills.

• Ability to independently design experiments, analyze data, and communicate results.

Preferred Skills:

• Prior experience with oncology drug discovery is preferred.

• Previous experience with PBPK modeling and DDI risk assessment is preferred.

• Effective communication and documentation skills.

#LI-Hybrid #LI-CT1

Staff Software Engineer - AI Research Infrastructure

P-1215

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description

As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security.

You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.

The Impact you will have

As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will: 

• Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems)
• Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.
• Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.
• Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.
• Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.

What We Look for

• BS/MS or PhD in Computer Science or related field
• 5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure.
• Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers.
• Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.
• Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).
• Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist.
• Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services.
• Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.

POSITION SUMMARY:

Natera is seeking a highly motivated and experienced Clinical Scientist to support the development and execution of our innovative Oncology programs.

The Director, Clinical Science will ensure the successful execution of clinical development programs and deliverables in partnership across the organization, with external vendors, and with external academicians and collaboration partners. The Director, Clinical Science will be accountable to jointly develop clinical program strategy and work collaboratively together with other functional representatives to assure that activities are executed within expected scope, compliance, budget, and timelines. Specifically, the candidate will work closely with colleagues cross functionally in clinical development, clinical operations, data management safety/pharmacovigilance, regulatory, biostatistics, translational medicine, and program leadership.

PRIMARY RESPONSIBILITIES:

• Develop study concepts, including study design, schedule of assessments, objectives/endpoints, and eligibility criteria  
• Collaborate cross-functionally to develop Protocol and ICF documents / amendments and present these to governance committee and early clinical development team meetings as required
• Provide protocol training and contribute to CRF design
• Ensure study manuals align with protocol and engage investigators in study design
• Seek input from key investigators on study design and methodology to ensure alignment with research objectives, and actively participate in pre-site selection discussions, site initiation visits, and investigator meetings to support successful study execution
• Contribute to and oversee real-time clinical data reviews (including oversight of CROs when applicable)
• Serve as a clinical science representative on internal and external meetings 
• Develop clinical project execution timelines and provide status updates to senior management to ensure the timely delivery of program milestones
• in collaboration with Data Management will develop Data Review Plan, and monitor clinical data for specific trends, ensure CRF design adequately supports data collection in alignment with the protocol in collaboration with Data Management/Programming
• Support meetings (advisory boards, etc) and deliver presentations
• Drive clinical research plans, including company and investigator-initiated studies
• Effectively interact with senior members in other functional areas for strategic planning to ensure optimized clinical development in accordance with corporate objectives 
• Build relationships with KOLs, consortiums, and sites
• Provide scientific input into design & implementation of clinical trial(s), their delivery, clinical data review and data cleaning, interpretation of results, reporting successfully on time, and activities required for registration of the product 
• As appropriate, participates in ongoing enhancements/development of team processes, structures, systems, tools, and other resources; As appropriate, coaches and guides less experienced Clinical Scientists
• Manage one or more direct reports including being responsible for hiring, training, developing, and retaining talent on staff, as needed
• As appropriate, participates in competitive intelligence and/or other market/industry assessment activities and projects
• Maintains scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment
• Ensure HIPAA/PHI compliance and maintain training requirements
• Perform other duties as assigned

QUALIFICATIONS:

• Advanced degree in Life Sciences (MD, PhD, Pharm D, MS, RN or similar scientific field) preferred
• 10+ years of pharma/biotech industry experience in clinical development in oncology clinical trials
• Deep understanding and preferably experience in oncology molecular diagnostics, oncology companion diagnostics or early cancer detection 
• Experience in data review, data cleaning, managing and interpreting clinical trials results as well in writing clinical trial protocols
• Possesses sound foundational knowledge of FDA and other major country regulations and detailed knowledge of Good Clinical Practice other regulations governing clinical research
• Experience with managing direct reports, ensuring that roles are performed in accordance with job descriptions and that training is conducted and maintained appropriately

KNOWLEDGE, SKILLS, AND ABILITIES:

• Problem-solving skills and a fast learner
• Strong communication (oral and written) and attention to detail
• Ability to work independently and collaboratively
• Analytical and creative thinking
• Familiarity with Google and Microsoft suites
• Desire to work in a dynamic environment
• "Hands-on" leadership and a strong work ethic
• Ability to apply business knowledge, exercise judgment, and escalate issues appropriately
• Strong project management, organizational, and interpersonal skills
• Adaptability, initiative, and team-building skills
• Demonstrated success in working in a cross-functional environment
• Successful and superior influencing skills across all levels of the organization and external collaborators
• Conflict resolution and follow-through skills
• Results and goal-oriented
• Strategic and flexible thinking

PHYSICAL DEMANDS & WORK ENVIRONMENT:

• Office or home office setting with internet access
• Ability to use a computer, phone, and read materials 
• Flexibility to work with colleagues in a global setting
• Able to engage in work-related travel up to 25%

POSITION SUMMARY:

Natera is seeking a highly motivated and experienced Clinical Scientist to support the development and execution of our innovative Oncology programs.

The Associate Director, Clinical Science will ensure the successful execution of clinical development programs and deliverables in partnership across the organization, with external vendors, and with external academicians and collaboration partners. The Associate Director, Clinical Science will be accountable to jointly develop clinical program strategy and work collaboratively together with other functional representatives to assure that activities are executed within expected scope, compliance, budget, and timelines. Specifically, the candidate will work closely with colleagues cross functionally in clinical development, clinical operations, data management safety/pharmacovigilance, regulatory, biostatistics, translational medicine, and program leadership.

PRIMARY RESPONSIBILITIES:

• Develop study concepts, including study design, schedule of assessments, objectives/endpoints, and eligibility criteria  
• Collaborate cross-functionally to develop Protocol and ICF documents / amendments and present these to governance committee and early clinical development team meetings as required
• Provide protocol training and contribute to CRF design
• Ensure study manuals align with protocol and engage investigators in study design
• Seek input from key investigators on study design and methodology to ensure alignment with research objectives, and actively participate in pre-site selection discussions, site initiation visits, and investigator meetings to support successful study execution
• Contribute to and oversee real-time clinical data reviews (including oversight of CROs when applicable)
• Serve as a clinical science representative on internal and external meetings 
• Develop clinical project execution timelines and provide status updates to senior management to ensure the timely delivery of program milestones
• in collaboration with Data Management will develop Data Review Plan, and monitor clinical data for specific trends, ensure CRF design adequately supports data collection in alignment with the protocol in collaboration with Data Management/Programming
• Support meetings (advisory boards, etc) and deliver presentations
• Drive clinical research plans, including company and investigator-initiated studies
• Effectively interact with senior members in other functional areas for strategic planning to ensure optimized clinical development in accordance with corporate objectives 
• Build relationships with KOLs, consortiums, and sites
• Provide scientific input into design & implementation of clinical trial(s), their delivery, clinical data review and data cleaning, interpretation of results, reporting successfully on time, and activities required for registration of the product 
• As appropriate, participates in ongoing enhancements/development of team processes, structures, systems, tools, and other resources; As appropriate, coaches and guides less experienced Clinical Scientists
• Manage one or more direct reports including being responsible for hiring, training, developing, and retaining talent on staff, as needed
• As appropriate, participates in competitive intelligence and/or other market/industry assessment activities and projects
• Maintains scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment
• Ensure HIPAA/PHI compliance and maintain training requirements
• Perform other duties as assigned

QUALIFICATIONS:

• Advanced degree in Life Sciences (MD, PhD, Pharm D, MS, RN or similar scientific field) preferred
• 8+ years pharma/biotech industry experience in clinical development in oncology clinical trials
• Deep understanding and preferably experience in oncology molecular diagnostics, oncology companion diagnostics or early cancer detection 
• Experience in data review, data cleaning, managing and interpreting clinical trials results as well in writing clinical trial protocols
• Possesses sound foundational knowledge of FDA and other major country regulations and detailed knowledge of Good Clinical Practice other regulations governing clinical research
• Experience with managing direct reports, ensuring that roles are performed in accordance with job descriptions and that training is conducted and maintained appropriately

KNOWLEDGE, SKILLS, AND ABILITIES:

• Problem-solving skills and a fast learner
• Strong communication (oral and written) and attention to detail
• Ability to work independently and collaboratively
• Analytical and creative thinking
• Familiarity with Google and Microsoft suites
• Desire to work in a dynamic environment
• "Hands-on" leadership and a strong work ethic
• Ability to apply business knowledge, exercise judgment, and escalate issues appropriately
• Strong project management, organizational, and interpersonal skills
• Adaptability, initiative, and team-building skills
• Demonstrated success in working in a cross-functional environment
• Successful and superior influencing skills across all levels of the organization and external collaborators
• Conflict resolution and follow-through skills
• Results and goal-oriented
• Strategic and flexible thinking

PHYSICAL DEMANDS & WORK ENVIRONMENT:

• Office or home office setting with internet access
• Ability to use a computer, phone, and read materials 
• Flexibility to work with colleagues in a global setting
• Able to engage in work-related travel up to 25%

Summary:

The Development organization is comprised of four Process teams: Protein, Polysaccharide, Conjugate Drug Substance (Conjugation), and Drug Product. These Process Development teams are supported by Analytical Development and Formulation Development teams. Vaxcyte is looking for a Senior Associate Scientist (contract) with experience in microbial fermentation and upstream processing to join the Upstream Polysaccharide Process Development team. The candidate will be responsible for collaboration on experimental design and execution of experiments to further develop and optimize upstream processes for polysaccharide manufacturing using microorganisms. The successful candidate will have practical laboratory experience related to microbial fermentation processes and eager to utilize and learn new laboratory skills. The role will require >50% time in the lab and this person will be able to independently detail experimental procedures/results in written and presentation formats. The successful candidate may interface closely with the cross-functional team, write detailed technical reports, present experimental results internally, and may potentially interface with external CMO partners.

Essential Functions:

• Support in study design, execute, and analyze experiments for upstream polysaccharide for bacterial fermentation (BSL2) and vaccine production processes.
• Execute experiments to develop the upstream process parameters (e.g., media, feed, pH, temperature, dissolved oxygen, agitation, etc.) and to enhance product yield, quality, and consistency.
• Perform microbiology related work including plating, colony selection, Gram staining and cell enumeration on microscope.
• Perform fermentation vessel assembly and script writing for process automation and execute fermentation experiment in shake-flask and lab scale bioreactors.
• Prepare media and buffer as needed for experiments.
• Operate and maintain instrumentation for bacterial fermentation and primary recovery (centrifugation, filtration, etc.) of bacterial polysaccharides utilizing aseptic techniques.
• Support analytical method execution including optical density, residual metabolites and polysaccharide concentration and other relevant analytical techniques.
• Assist in executing process development studies.
• Keep accurate and current records of research and/or project related activities in laboratory notebooks and Electronic Lab Notebook.
• Prepare and review protocol, technical reports, SOPs, and batch records.
• Present and communicate scientific data and results to internal stakeholders.
• Be an outstanding teammate and collaborate effectively with cross functional team members.
• and collaborate effectively with downstream, analytical, and manufacturing teams within Polysaccharide Development and Manufacturing team to ensure seamless technology transfer and process integration.

Requirements: 

• MSc in Chemical/Biochemical Engineering, Biotechnology, or similar degree with a minimum of 3 years of relevant industry experience, or BSc with a minimum of 5 years of relevant industry experience.
• Experience in handling microorganisms with proper aseptic techniques to perform upstream processing related work in flasks/bioreactors.
• Hands-on experience and theoretical understanding of key processing operations such as microbial culture, fermentation process, microbial media, and process optimization and relevant analytical technologies; experience with depth filtration, continuous centrifugation is a plus.
• Develop and optimize scripts for instrumentation, including Ambr® systems, to enhance efficiency and automate processes, leveraging programming languages such as Python or R is a plus.
• Experience with Design of Experiments (DoE) principles and DoE software.
• Process characterization experience is a plus.
• Cell banking expertise, colony selection and genetic analysis of recombinant strains is a plus.
• Proficiency with computer programs such as Microsoft Excel, Word, PowerPoint, Visio and JMP.
• Working knowledge of GMP requirements.
• Proven ability to succeed in a cross-functional team environment, effectively managing multiple projects and contributing to team outcomes.
• Strong interpersonal skills, with excellent written and verbal communication abilities.

Summary:

Vaxcyte is looking for a Scientist-II, Conjugation Development. The candidate’s primary responsibility will be to lead and execute experimental activities that support company’s pneumococcal conjugate vaccine program with a focus on developing a deeper understanding of the conjugation process. In parallel, the candidate will work on conjugation process development for Vaxcyte’s pipeline programs contributing to process optimization, scalability, and technical readiness for future clinical manufacturing. Specifically, this will include preparation, purification, and analytical characterization of chemically modified polysaccharides and polysaccharide-protein conjugates. The ideal candidate will have significant laboratory experience and an excellent understanding of analytical chemistry principles. The successful candidate will be expected to design, execute, and troubleshoot experiments with minimal guidance. The candidate will also contribute when needed to a range of related areas such as analytical development and stability studies. Responsibilities will additionally include record management, data presentation at group meetings, authorship of laboratory protocols and development reports, communication with external organizations during tech transfer, and assumption of a leadership role in collaborative studies with other members of the conjugation group.

Essential Functions:

• Optimize and troubleshoot multi-step syntheses of protein-polysaccharide conjugates.
• Purify polysaccharides and conjugates using a variety of methods including dialysis, size-exclusion chromatography, and tangential flow filtration (TFF)
• Analyze polysaccharides and conjugates with a variety of analytical methods. Develop new laboratory workflows and analyses beyond established procedures when appropriate.
• Advise team members on experimental design, interpretation of results, and troubleshooting.
• Model and train team members on best practices for adherence to protocols and data management.
• Serve as a subject matter expert during tech transfer of conjugation processes to contract manufacturing organizations.
• Maintain highly organized records to enable optimization and assessment of reproducibility.
• Attend team meetings ready to provide updates on conjugation development progress.

Requirements: 

• PhD in chemistry, biochemistry, or related field with minimum 2 years of industry experience, or combination of industry and postdoctoral research; MS with minimum 7 years industry experience, or BS with minimum 10 years of experience industry.
• Strong biochemistry and organic chemistry knowledge base underpinning several years’ experience preparing bioconjugates.
• Proficiency with small- and large-scale techniques for purification of bioconjugates, including tangential flow filtration.
• Proficiency in a variety of techniques for bioconjugate analysis such as colorimetric assays, HPLC, and SEC-MALS.
• Sufficient knowledge of analytical principles to develop fit-for-purpose analytical methods as needed and provide cross-functional feedback on draft analytical methods.
• Experience with Design of Experiments is desirable.
• Experience with chemical modification of polysaccharides is desirable.
• Experience implementing and/or using electronic notebooks is desirable.
• Attention to detail and excellent organizational skills.
• Strong interpersonal skills; ability to communicate effectively both verbally and in written formats.
• Self-starter; ability to work in a fast-paced, cross-functional environment and collaborate effectively with other team members.
• Enthusiasm to learn the new skills and techniques necessary to tackle problems outside of current area of expertise.
• This is lab based role that requires an onsite presence. 

WHAT YOU’LL DO

THE DAY-TO-DAY

• Lead and Define AI Strategy – Set the vision for applied ML research and AI-driven decision-making across Viant’s products and services.
• Drive High-Impact Research – Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.
• Architect and Deploy ML at Scale – Develop, optimize, and deploy high-throughput, low-latency ML models, collaborating with engineers to bring solutions into production.
• Innovate in Generative AI & Causal ML – Explore novel AI techniques, such as LLMs, reinforcement learning, and causal inference, to enhance targeting, personalization, and attribution models.
• Experimentation and Validation – Design, run, and analyze A/B experiments to test ML-driven strategies, ensuring data-driven decision-making.
• Mentor and Influence – Provide technical leadership for a team of applied scientists and ML engineers, fostering a culture of innovation and excellence.

MUST HAVE

• Experience: 4+ years of experience building and deploying machine learning models at scale.
• Technical Leadership: Demonstrated ability to lead complex, high-ambiguity ML projects from research to production.
• Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Deep Expertise in ML & AI: Strong foundation in deep learning, NLP, generative AI, and causal inference.
• Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).
• Scalability & Cloud: Experience with distributed computing, cloud ML platforms (AWS, GCP, or Azure), and real-time AI inference.

GREAT TO HAVE

• Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
• Ad Tech Expertise: Experience in digital advertising, real-time bidding, or audience modeling.
• Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.
• Optimization & Personalization: Strong background in reinforcement learning, dynamic pricing, or recommendation systems.

LIFE AT VIANT

Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. 

#LI-KW1

The Opportunity:

As a Scientist II in the Cancer Pharmacology team within the Translational Research group, in the Biomedical Discovery Research Department, you will:

• Contribute to advancing RAS(ON) inhibitor programs by applying cancer pharmacology and tumor biology expertise, with a focus on mechanistic understanding of RAS biology.

• Design, execute, and interpret in vivo efficacy and PK/PD studies (internally and via CROs) to support forward and reverse translation of RAS(ON) inhibitors

• Collaborate with the cross-functional quantitative modeling group, providing data, biological context, and critical evaluation to support translational PK/PD modeling (no requirement for hands-on mathematical model experience).

• Analyze, interpret, and communicate data clearly to internal teams and external scientific audiences.

• Maintain high-quality documentation, protocols, and data integrity.

Required Skills, Experience and Education:

• Ph.D. in pharmacology or cancer biology, or a related discipline with direct relevance to oncology drug development.

• 2+ years of relevant postdoc or industry experience in cancer drug discovery and development.

• Solid knowledge of tumor biology and RAS signaling pathways

• Demonstrated experience in designing, executing and analyzing in vivo experiments with oncology disease models.

• Working knowledge of PK and PK/PD relationships, with the ability to analyze and interpret data.

• Rigorous and detail-oriented with proven excellence in experimental design, data analysis, data management, and presentation.

• Excellent written and verbal communication skills. Able to effectively communicate results to non-specialist and specialist audiences.

• Thrives in a collaborative team setting and is driven by a desire to be innovative in a dynamic and fast-paced environment.

Preferred Skills:

• Familiarity with RAS biology and RAS-targeted therapies

• Experience with designing and executing PKPD studies in tumor models.

• An understanding of preclinical to clinical translational concepts desired.

• Strong track record of research productivity as evidenced by high-quality, impactful publications.

• A strong theoretical understanding of the core concepts, assumptions, and limitations associated with PK/PD mathematical modeling.

#LI-Hybrid   #LI-NE1

Principal Research Scientist – AI Scaling & Optimization

P-1227

About Databricks AI

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and systems using their own data; from pre-training LLMs from scratch to state-of-the-art retrieval-augmented generation by producing novel science and putting it into production.

We believe a company’s AI models are a core part of their IP, and that high‑quality AI models should be available to all.

About the Scaling Research Team

The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners.

Role Summary

As a Principal Research Scientist – Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production.

The Impact You Will Have

• Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance.
• Define the scaling research roadmap in alignment with Databricks’ strategic objectives, prioritizing advances in foundation model efficiency and large‑scale training and inference.
• Drive algorithmic innovations for large‑scale neural network training and inference, including novel optimizers, low‑precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state‑of‑the‑art approaches.
• Optimize end‑to‑end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure.
• Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer‑impacting capabilities in the Databricks AI platform.
• Foster a culture of scientific excellence and openness, including high‑quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI.
• Represent Databricks AI research externally through top‑tier publications, conference talks, and collaborations with academia and the open‑source community, with a focus on optimization and efficiency for large‑scale models.
• Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers.

What You Will Do

• Define and lead independent research programs on foundation model efficiency, covering topics such as optimizer design, low‑precision training/inference, scalable model architectures, and efficient adaptation methods.
• Oversee the design and execution of large‑scale experiments, including benchmarking against state‑of‑the‑art methods and evaluating trade‑offs in quality, latency, throughput, and cost.
• Work hands‑on with your team on high‑quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks’ production systems.
• Collaborate with distributed systems and infra teams to push the limits of distributed training, parallelism strategies, memory management, and hardware utilization for LLMs and other large models.
• Establish metrics, evaluation protocols, and best practices for scaling‑focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI.
• Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first‑class considerations.

What We Look For

• Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. 
• Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large‑scale neural networks.
• Hands on leadership - strong programming skills and demonstrated ability to write high‑quality, efficient code in Python and PyTorch for research implementation and experimentation.
• Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams.
• Excellent communication, leadership, and stakeholder management skills, with experience influencing cross‑functional roadmaps and aligning research with business impact.

Nice to Have

• Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory‑/compute‑efficient model design.
• Strong industry and academic network in large‑scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems.
• A strong record of research impact—such as first‑author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open‑source contributions, or widely used deployed systems—especially in optimization or efficiency.

What You’ll Do 

• Design, implement, and evaluate novel machine learning and deep learning algorithms, concentrating on Large Language Models (LLMs), automated speech recognition (transcription), and unified multimodal architectures. 
• Iterate on AI model development, starting from the data needed for training, architecture, input/output representations, evaluation, and deployment for complex sequence-to-sequence and multimodal tasks. 
• Collaborate with other research engineers to prototype and validate complex solutions from academic literature in natural language processing and speech. 
• Conduct experiments to benchmark new techniques and evaluate model behavior. 
• Develop tools and frameworks to support scalable and reproducible research and development. 
• Communicate research findings to leadership in a concise, and convincing manner. 
• Stay current with the latest developments in Generative AI and Speech/Language Models and identify relevant innovations. 
• Assist in transitioning research prototypes into production-ready systems. 

Minimum Education Requirement: Master’s degree in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.  

Minimum Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 3 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.  

Alternate Education Requirement: PhD in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics. 

Alternate Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 2 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.

Please apply online at: https://www.archer.com/careers. Must put job code SJ2026YM on resume/CV and cover letter. 

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are offering $240,000 to $252,000 per year.

#LI-DNF

Staff Software Engineer - AI Research Infrastructure

P-1215

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description

As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security.

You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.

The Impact you will have

As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will: 

• Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems)
• Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.
• Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.
• Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.
• Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.

What We Look for

• BS/MS or PhD in Computer Science or related field
• 5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure.
• Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers.
• Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.
• Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).
• Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist.
• Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services.
• Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.

About the Team: 

The Interplanetary Sciences Program was established to expand access to scientific exploration across our solar system. Its mission is to make planetary research faster, more affordable, and more capable than ever before by rethinking how science missions are designed, built, and operated. The program aims to enable scientists to send instruments to distant worlds without decades of development or prohibitive costs. By creating a sustainable model for interplanetary exploration, we are transforming space science from an occasional event into a continuous process of discovery that accelerates knowledge, broadens participation, and inspires the next generation of explorers.

About the Role:

We are seeking an operations responsible engineer to lead the planning, design, and execution of spacecraft operations for the Interplanetary Program's first mission. This role carries end-to-end ownership of how the spacecraft is operated — from defining the operations architecture and working directly with multiple science and instrument teams to executing operations that maximize science data collection within real-world spacecraft constraints. Automating spacecraft operations to increase spacecraft capability and efficiency is also a key goal.

This is a senior, highly technical, high-ownership role on a lean team in a fast-moving commercial environment. We are looking for someone who is energized by the challenge of building an operations system that can run a complex, multi-instrument science mission millions of kilometers away and finds deep satisfaction in maximizing the science returned by the mission.

About You

• Bachelor's degree in planetary science, aerospace engineering, electrical engineering, computer science, or a related technical discipline
• 5+ years of experience in planetary missions, with demonstrated progression into increasing ownership
• Experience with scripting (e.g., Python) for data analysis or operational tasks
• Proficiency working in Linux/Unix environments
• Ability to reason through cross-subsystem interactions and their operational implications, make decisions with incomplete information and under time pressure
• Excellent communication skills across technical disciplines: engineering, science, software

Nice to haves but not required

• Experience with deep-space mission operations, including surface or orbital science campaigns
• Experience designing onboard autonomy, automated scheduling systems, or ground-based automation frameworks for flight operations

During critical mission phases including launch, commissioning, cruise maneuvers and early operations this position will require shift work and on-call availability. Schedule flexibility will be needed as operational needs evolve. Occasional travel (<10%) to partner institutions and mission integration sites may be required.

Hiring Range and Leveling

Staff Engineer: 169,000 - 207,000
Principal Engineer: 208,000 - 254,000

Leveling and Compensation will be finalized after the interview process, based on an evaluation of job-related knowledge and skills, education, and experience.

About the Team: 

The Interplanetary Sciences Program was established to expand access to scientific exploration across our solar system. Its mission is to make planetary research faster, more affordable, and more capable than ever before by rethinking how science missions are designed, built, and operated. The program aims to enable scientists to send instruments to distant worlds without decades of development or prohibitive costs. By creating a sustainable model for interplanetary exploration, we are transforming space science from an occasional event into a continuous process of discovery that accelerates knowledge, broadens participation, and inspires the next generation of explorers.

About the Role:

We are seeking a driven science payload manager to lead the delivery, integration, and operations support for a science instrument suite. This is a highly technical role for a leader who combines deep technical and scientific competency, is confident in making risk-based decisions, and has a sense of personal ownership over the success of the instrument from build phase through on-orbit operations.

In this role you will serve as the responsible engineer for working with our partners to ensure the delivered instruments meet or exceed the desired science capability, and proceed smoothly and efficiently through environmental testing, spacecraft integration, commissioning, and in-space operations. This role requires you to understand the science and the engineering, manage risk proactively, make hard decisions under uncertainty, own the outcomes, communicate clearly to multiple stakeholders, and care deeply about the science results. You will need to understand the engineering systems and be an advocate for how they should be designed to support and enable collecting exceptional science on this and future missions. You will operate as part of a fast-moving, lean, multi-disciplinary team driven by mission success.

About You

• Master's degree in planetary science, engineering, physics, or a related technical discipline
• 3+ years experience in science research
• 3+ years experience working on a spacecraft payload through multiple phases (e.g., some combination of formulation, build, testing, integration, on-spacecraft testing, commissioning, operations)
• Relentless curiosity and a desire to understand and optimize systems
• Familiarity with Earth and planetary science missions and the unique constraints on instruments (power, mass, thermal, data rate, radiation)
• Excellent written and verbal communication skills

Nice to haves but not required

• Experience with planetary science instruments

This position may require occasional travel to partner institutions, test facilities, and mission integration sites (<10% time). During critical mission phases including launch, commissioning, and early operations this position will require shift work and on-call availability. 

Hiring Range and Leveling

Senior Engineer: 124,500 - 170,500
Staff Engineer: 150,000 - 207,000

Leveling and Compensation will be finalized after the interview process, based on an evaluation of job-related knowledge and skills, education, and experience.

About the Role

Join us in advancing our pipeline to address a number of diseases across therapeutic categories including eye care, dermatology, and other diseases with high unmet needs.

This role will be focused on the development of clinical strategies for assigned programs and is responsible for ensuring effective and efficient execution of the clinical development plan

Let’s talk about some of the key responsibilities of the role:

• A leader with influence to present and collaborate with cross-functional team members to synthesize clinical data.
• Primary author for assigned clinical trial protocols, collaborating with and leading with other functions required for protocol development.
• Contributes or reviews clinical, regulatory, and relevant study documents, including Investigator Brochures, Clinical Study Reports, Statistical Analysis Plans, Operation Manuals, Investigational New Drug Applications/Clinical Trial Applications, case report forms, and data tables listings and figures.
• Educates internal and external team members on protocol execution.
• Primary point of contact to address or properly triage inquiries from site, CRO personnel, and site monitors, regarding study protocol, informed consent, and patient-specific questions.
• Reviews, finalizes, and updates information/data entered in clinical trial registries.
• Participates in development of Clinical Development Plan.
• Partners with data management on resolution of all clinical queries to sites.
• May participate in health authority interactions, as well as interactions with site Institutional Review Boards/ethics committees.
• Contributes to scientific abstracts for submissions to scientific conferences and publications for peer-reviewed journals.
• Creates, reviews, and/or presents clinical slides for internal meetings and external forums.
• Collaborates with biostatistics to develop data tables, listings, and figures.
• Identifies and tracks any potential safety events within a given study, or across studies for assigned programs.
• Conducts medical data review.
• Provides clinical development input to proposed revisions of SOPs and guidance documents.

Factors for Success:

• Advanced clinical/science degree preferred (PharmD, PhD, OD, MD).
• 10+ years minimum experience, with 3+ years of pharma/biotech experience or demonstrates relevant equivalent clinical research experience (Clinical Scientist) and 5+ years of experience with clinical trials. Eye care experience preferred.
• Experience authoring clinical trial protocols and/or study results and conclusions, applying creative thinking and adaptability for early development programs
• In-depth understanding of drug development.
• Working knowledge of basic biostatistics
• Experience working with techniques of data analysis, interpretation, and assessment of clinical relevance.
• Well-versed in medical aspects of Good Clinical Practice, International Council for Harmonization, Food and Drug Administration, European Medicines Agency, National Institute for Health and Care Excellence and other relevant guidelines and regulations.
• Has demonstrated, through past experience, abilities to competently manage the majority of clinical science deliverables associated with assigned clinical studies.
• Strong presentation skills: effective at summarizing and presenting the key considerations and decision points.
• Confident and competent when interacting with varying levels of internal/external management, key opinion leaders, etc.
• Excellent teamwork and negotiation skills: knows how to complete deliverables by working effectively with others internally and externally; can effectively drive discussions and decisions toward desired end results.
• Able to work in a fast-paced dynamic organization.
• Demonstrated ability to be flexible and adaptable to change, to move between projects easily, and provide support/expertise where needed.
• Tarsus Competencies:
  • Decision Making - Identifies, analyzes, and resolves issues or challenges effectively and efficiently. Demonstrates creativity, decisiveness, and the capacity to implement solutions in a structured and outcome-oriented manner. Navigates uncertainty when there’s not a blueprint for success. Owns their decisions and actions.
  • Collaboration and Team Building - Builds strong relationships and networks. Is curious about and respectful of different points of view. Cultivates a safe space for discussion readily engaging in group dialogue and debate. Puts the team first.
  • Outcome Driven - Clearly defines mutual expectations of self and others in a team setting. Adapts to changing business needs. Is determined and resourceful in finding solutions, even when faced with obstacles. Takes appropriate actions, including calculated risks, to ensure obligations are met. 

A Few Other Details Worth Mentioning:

• The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote work is an option.
• We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact!
• This position reports directly to the COO.
• Some travel may be required – up to 50%

At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $165,000 - $231,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot.

#LI-Hybrid

#LI-Remote

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

 About the Work

• Develop and scale state-of-the-art generative models—especially diffusion architectures, flow-matching techniques, and energy-based models —for autonomous plan generation.
• Build generative models with foundation models. Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation.
• Optimize generative models using reinforcement learning to improve interactive reasoning. Explore reward modeling/learned verifier using generative models. Explore joint prediction and planning and self-play. Leverage generative models for active learning and world modeling.
• Develop controllable generative models to guide the generation process towards desired goals, conditions and rewards.
• Collaborate across autonomy teams while developing holistic solutions to top autonomy challenges. Understand issues, propose ideas, prioritize work and develop solutions to solve them, evaluate your solution by deploying the models on to the NuroDriver.

About You

You have deep expertise and prior experience in some or many of the following areas:

• You have a Ph.D. (preferable) or M.Sc. with 2-3 years of experience working with generative models in the lab, in industry, or both.
• Research experiences in generative models, particularly diffusion models, flow matching and energy-based models, for robotics, including manipulation, path planning, and autonomous driving. Experiences in vision-language-action models, reinforcement learning for generative model optimization, video generation, text-to-image generation, diffusion models for LLMs, world foundation models, and other applications of generative modeling are a bonus!
• You have strong problem solving and programming skills in Python and/or C++
• Strong culture fit and good team player.
• Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL etc.)

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $160,360 and $240,540/ year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the role 

In this role, you will collaborate closely with researchers and engineers on the Learned Behavior teams to tackle plan generation challenges in autonomous driving. You’ll apply state-of-the-art generative modeling techniques—ranging from cutting-edge diffusion, flow matching, energy-based models, and SoTA algorithms—in order to develop novel solutions that generate safe, comfortable, and efficient driving behaviors in the most challenging real world situations. Beyond core research, you’ll own the end-to-end lifecycle of your models, productizing them for robust, real-world autonomous driving deployments on a global scale.

About the Work

• Develop and scale state-of-the-art generative models—especially diffusion architectures, flow-matching techniques, and energy-based models —for autonomous plan generation.
• Build generative models with foundation models. Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation.
• Optimize generative models using reinforcement learning to improve interactive reasoning. Explore reward modeling/learned verifier using generative models. Explore joint prediction and planning and self-play. Leverage generative models for active learning and world modeling.
• Develop controllable generative models to guide the generation process towards desired goals, conditions and rewards.
• Collaborate across autonomy teams while developing holistic solutions to top autonomy challenges. Understand issues, propose ideas, prioritize work and develop solutions to solve them, evaluate your solution by deploying the models on to the NuroDriver.

About You

You have deep expertise and prior experience in some or many of the following areas:

• You have a Ph.D. (preferable) or M.Sc. with 3+ years of experience working with generative models in the lab, in industry, or both.
• Research experiences in generative models, particularly diffusion models, flow matching and energy-based models, for robotics, including manipulation, path planning, and autonomous driving. Experiences in vision-language-action models, reinforcement learning for generative model optimization, video generation, text-to-image generation, diffusion models for LLMs, world foundation models, and other applications of generative modeling are a bonus!
• You have strong problem solving and programming skills in Python and/or C++
• Strong culture fit and good team player.

Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL etc.)

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930 and $352,290/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Responsibilities

We are looking for an exceptional AI Research Scientist to join our growing team. In this role, you will be responsible to:

• Explore workflow‑aware planning, cost‑optimised RAG, tool‑use evaluation, and multi‑agent collaboration.

• Prototype and benchmark models; present findings internally and externally.

• Collaborate with Product & Engineering to ship research‑backed features.

• Contribute to open‑source repos and author technical blogs.

Requirements

Qualifications / Experience / Technical Skills

• MS/PhD in Computer Science, ML, or related field—or equivalent experience.

• Hands‑on with PyTorch/JAX and modern LLM frameworks.

• Strong publication record in top-tier ML venues (NeurIPS, ICML, ICLR) or demonstrable impactful experimental work; hands‑on experience with large‑scale model training, transformer architectures, reinforcement‑learning techniques, and CUDA.

Soft Skills / Personal Characteristics

• Curiosity‑driven and self‑directed.

• Ability to explain complex ideas to non‑experts.

• Team player who welcomes feedback and knowledge‑sharing.

(REQ ID: 2124)

As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.

This means you might:

• Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success
• Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
• Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements

What we are looking for in our candidate

Essential

• 3+ years experience working in a Data Science role.
• Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.
• Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
• Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
• Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
• Well-versed in summarising, visualising and communicating findings in an accessible and compelling way
• Track record of influencing team direction through your findings  
• A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.
• Comfortable working asynchronously across time zones with cross-functional partners
• You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.

Desired

• Practical experience with machine learning (e.g. pytorch). Passion to take research ideas to production.
• Track record of promoting statistical rigour and experimental best practices in your prior roles.
• Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.
• Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)
• Experience working in a fast-moving tech company or startup.

We are seeking a Scientist II to join the Reagent Sustaining and Applications group to lead sustaining efforts for our Chromium Single Cell products. The role interfaces with R&D, Production, Marketing, and Support to provide the best products to our customers from pre-launch to end of life. 

The ideal candidate should have expertise in product development, troubleshooting complex issues, and understanding of molecular biology, including single cell assays, reagent manufacturing, and developing assays for quality control or manufacturing environments.

What you will be doing:

• Lead efforts in testing new materials, tools, and workflows to improve 10x’s state-of-the-art products.
• Collaborate with key internal and external partners to troubleshoot and mitigate any issues that may arise in 10x’s Chromium product line.
• Design and execute experiments to assess the impact of protocol, reagent, or process changes on 10x’s Assays.
• Perform statistical analyses on key assay and QC metrics.
• Update manufacturing documents and present results.

Minimum Qualifications:

• BS, MS, or PhD in molecular biology, biochemistry, genetics, microbiology, analytical chemistry, or related fields.
• 8+ years (BS), 5+ years (MS) or 3+ years (PhD) of relevant experience in reagent or assay development and optimization, preferably in the Biotechnology industry.
• Experience analyzing large-scale single-cell or spatial transcriptomics datasets to derive biologically meaningful insights and/or diagnostic biomarkers.
• Ability to design and execute experiments to measure the impact of process improvements and/or formulation changes.
• Experience with a broad variety of molecular biology and analytical techniques including qPCR, nucleic acid isolation, use of plate readers, Bioanalyzers, gel imagers, real-time PCR instruments, etc.
• Experience with single cell assays including cell handling, library preparation and downstream analysis.
• Experience investigating, identifying, documenting, communicating, and resolving quality control issues in a controlled manufacturing environment.
• Experience defining, documenting, communicating, and transferring new manufacturing workflows into controlled manufacturing environments.
• Meticulous attention to detail and a conscientious work ethic.

Preferred Qualifications: 

• Hands-on experience with the 10x Chromium platform.
• Experience using statistical tools, such as JMP or R to analyze complex data sets, create DOE experiments, and create data trending reports.
• Experience with bioinformatic analysis of Next Generation Sequencing data from Illumina platforms.

#LI-ES1 #LI-onsite

Position Summary

We are seeking a highly motivated Scientist I to join the Content Development team. In this role, you will support the development, optimization, and characterization of NULISA-based immunoassays and multiplex proteomic panels across diverse disease areas. You will work closely with cross-functional partners including R&D, Manufacturing, Bioinformatics, and related teams to ensure robust assay performance and high-quality deliverables.

The ideal candidate will bring strong hands-on immunoassay execution skills, a solid foundation in data analysis, and the ability to contribute effectively in a fast-paced, collaborative product development environment.

Duties and Responsibilities

• Design, development, and optimization of multiplex proteomic panels across various disease areas to support biomarker discovery, validation, and translational research.
• Develop and optimize the high-plex panels to ensure high specificity, sensitivity, and reproducibility of the product.
• Perform multivariate analysis to optimize assay performance, minimize cross-reactivity and mitigate matrix effect.
• Troubleshoot technical challenges via root-cause analysis and implement corrective strategies.
• Develop and maintain critical documentation, including SOPs, PRDs, and assay transfer documents to support product development and regulatory compliance.
• Collaborate cross-functionally to advance projects and contribute to strategic discussions.

Qualifications

• Ph.D. in Biochemistry, Molecular Biology, or a related discipline with 0–3 years of relevant industry experience; M.S. with 2–5 years of experience will also be considered.
• Hands-on experience with immunoassays or multiplex assay platforms (e.g., Luminex, MSD, Olink, Ella, SomaLogic, etc.).
• Familiarity with molecular biology methods (e.g., qPCR, ddPCR, or NGS) is a plus.
• Strong problem-solving and analytical skills with attention to detail in experimental execution.
• Ability to manage time effectively, work collaboratively, and adapt in a fast-paced environment.
• Strong communication skills, including data presentation and technical documentation.
• Knowledge of biomarker research, assay validation, or clinical sample testing is desirable.

The base salary range for this full-time position is $120,000 - $140,000 + bonus + equity + benefits. Our salary ranges are determined by work location, job-related skills, experience, and relevant education or training. The ranges displayed on each job posting reflect the minimum and maximum target for new hire salaries but are subject to change if the leveling of the role is adjusted. Your recruiter can share more about the specific salary range during the hiring process. 

About The Role

10x Genomics is establishing a diagnostics effort, translating our leading single-cell and spatial assay technologies into impactful clinical applications. We are seeking a Scientist II to join the clinical bioinformatics team. The ideal candidate excels at distilling complex biological questions into actionable computational strategies, implementing computational/statistical methods and applying them to large-scale single-cell or spatial transcriptomics datasets to derive clinically meaningful insights.

The role requires a biology-first mindset, proficiency with large-scale bioinformatics analyses, strong scientific acumen and statistical rigor. The successful candidate will have an opportunity to work with some of the largest biomedical datasets assayed using cutting-edge 10x Genomics technologies, deriving clinical insights that power the next generation of clinical diagnostics.

What You Will Be Doing:

• Implement rigorous computational/statistical methods for single-cell and spatial transcriptomics data analysis.
• Derive actionable insights from clinical/translational single-cell or in-situ spatial datasets.
• Design, implement and validate biomarkers for diagnostic applications.
• Implement and maintain bioinformatics pipelines for reproducible, large-scale data processing.
• Process and analyze single-cell or in-situ spatial transcriptomics datasets spanning hundreds to thousands of samples.

To Be Successful, You Will Need:

• Ph.D. in bioinformatics, computational biology, genomics or a related discipline with extensive hands-on experience in single-cell NGS data analysis.
• A minimum of 2 years of industry experience post Ph.D.
• Experience analyzing large-scale single-cell or spatial transcriptomics datasets to derive biologically meaningful insights and/or diagnostic biomarkers.
• In-depth understanding of the assumptions, limitations and caveats of statistical methods.
• Experience developing and optimizing high-performance, scalable code.
• Proficiency working in a Linux environment.
• Goal-oriented, self-motivated and an independent problem solver.
• Meticulous attention to detail and a conscientious work ethic.

Preferred Skills

• Hands-on experience with 10x Genomics single-cell and in-situ transcriptomics technologies is a strong preference
• Hands-on research experience in cancer or autoimmune diseases is a strong preference
• Knowledge of clinical genomics, biomarker discovery and diagnostics
• Development of statistical models and algorithms for single-cell or spatial transcriptomics data
• Application of machine learning, particularly in the context of genomics
• Proficiency with workflow orchestration frameworks such as Snakemake, Nextflow or Martian
• Programming best practices including data analysis reproducibility, version control, design patterns, testing, debugging and profiling
• Track record of writing production-level code or maintaining published software packages
• High-throughput computing infrastructure such as HPCs or cloud computing

Position Summary

We are seeking an Associate Scientist, Technology Development, with a passion for innovation to join our technology development team to work on our novel protein detection platform. You will be working in a fast-paced environment, on multiple projects, and will be a part of a rapidly growing company to make a difference in life science research and early disease diagnosis.

Duties and Responsibilities

• Apply laboratory skills and experience to generate high-quality data in developing new technologies and in developing new biomarker assays.
• Maintain accurate records of work performed including reagents, methodology, and results.
• Perform data analysis and report results, and detailed data organization.
• High-throughput manual and automated experiment execution, instrument operation
• Examine the impacts of multiple variables on assay performance and perform troubleshooting as needed.
• Support in-house engineers to integrate and adapt different assay workflows onto Alamar’s proprietary instrument platform.
• Cross-functional collaboration across different teams to enable technology and product advancement

Qualifications

• BS/MS in Biochemistry, Molecular Biology, Bioengineering, or a related field, with relevant industry experience (2+ for BS, 1+ for MS).
• 2+ years of hands-on laboratory experience performing ELISA, qPCR, or similar assays, including data generation, analysis, and review.
• Proven ability to follow SOPs, maintain accurate documentation, and ensure high-quality experimental records.
• Strong organizational skills; prior experience with lab operations or inventory management is a plus.
• Strong attention to detail, organization skills, and commitment to data quality
• A positive, self‑motivated attitude with strong attention to detail and the ability to manage multiple complex tasks or projects simultaneously.
• Ability to handle biofluid samples a plus
• Strong communication skills and the ability to work effectively in a multidisciplinary team environment.
• Experience with automated lab equipments or high throughput assay workflows
• Familiarity with data analysis tools such as R and JMP.

The base salary range for this full-time position is $80,000 - $100,000 + bonus + equity + benefits. Our salary ranges are determined by work location, job-related skills, experience, and relevant education or training. The ranges displayed on each job posting reflect the minimum and maximum target for new hire salaries but are subject to change if the leveling of the role is adjusted. Your recruiter can share more about the specific salary range during the hiring process. 

The Opportunity:

We are seeking a Senior Machine Learning Scientist to help accelerate drug discovery through advanced analytics and artificial intelligence. This role will develop predictive models and analytical methods that transform complex biological and chemical datasets into actionable insights that guide research decisions.

The Senior Machine Learning Scientist will work at the interface of data science, chemistry, and biology to support target discovery, compound optimization, and translational research. This position requires both strong machine learning expertise and the ability to collaborate effectively with experimental scientists to solve real-world scientific problems.

The successful candidate will contribute to building a data-driven discovery ecosystem where data, analytics, and experimentation continuously inform and accelerate one another.

Key responsibilities include:

Develop Predictive Models for Drug Discovery

• Design and implement machine learning models to predict compound activity, selectivity, and developability.

• Develop predictive frameworks for ADME/Tox, target engagement, and phenotypic screening outcomes.

• Apply advanced modeling approaches including deep learning, graph neural networks, and ensemble methods.

• Evaluate model performance and apply appropriate validation strategies.

• Work with data engineers and ML engineers to integrate models into discovery pipelines.

Analyze Complex Scientific Data

• Perform exploratory data analysis on chemical, biological, and phenotypic datasets.

• Integrate heterogeneous datasets including:

• Chemical structure and screening data.

• High-content imaging data.

• Structural biology and molecular simulation outputs.

• Identify patterns and relationships that inform scientific hypotheses.

Collaborate with Research Scientists

• Partner with medicinal chemists to support compound design and lead optimization.

• Work with biologists to interpret experimental results and identify new target opportunities.

• Translate scientific questions into computational modeling strategies.

Required Skills, Experience and Education:

• PhD in machine learning, computational biology, computational chemistry, computer science, statistics, or a related quantitative field.

• 4–8 years experience applying machine learning or advanced analytics to scientific datasets.

• Python and scientific computing libraries (NumPy, Pandas, SciPy).

• Machine learning frameworks (PyTorch, TensorFlow, scikit-learn).

• Model development, validation, and evaluation methods.

• Data visualization and exploratory analysis.

• Experience working with noisy and incomplete experimental datasets.

Preferred Skills:

• Cheminformatics or molecular modeling tools (RDKit, OpenEye, etc.).

• Multi-omics data analysis.

• Cloud computing environments.

• MLOps or scalable model deployment. 

  #LI-Hybrid  #LI-LN1

The Opportunity:

Playing a critical role within CMC function, as Senior Scientist I, Analytical Development the position will support the manufacturing and control of drug substances and drug products during clinical development. The position will provide analytical support to API process research and development, formulation development, and assist in regulatory filings in support of Revolution Medicines pipeline compound development and clinical programs.

Specifically, you will be responsible for:

• Provide support and oversight to analytical development activities, such as method development, method validation and testing, at contract partner sites to ensure outsourced activities are executed successfully and meet the objectives.

• Provide analytical support for API process R&D and manufacturing, formulation development and drug product manufacturing, and participate in cross-functional project team meetings.

• Critically review data packages associated with method validations, release testing, and other characterization testing for drug substances and drug products.

• Collaborate with cross functional teams in the establishment of control strategy and setting specifications for drug substances and drug products.

• Prepare, review, and/or approve study protocols, study reports, and CMC regulatory submission document.

• Communicate technical findings to colleagues and collaborators within formal and informal settings, including cross-functional project team meetings.

• Collaborate with cross functional teams including but not limited to Medicinal Chemistry, DMPK, Toxicology, QA, Pharmaceutical Development, Process R&D, Project Management and Regulatory to timely achieve project goals.

• Present work and results in team and group meetings.

Required Skills, Experience and Education:

• Ph.D. with a min of 5 years industry experience or MS degree with a min of 8 years of relevant industrial experience in analytical development.

• Technical knowledge of analytical technologies including HPLC/UPLC, XRPD, LCMS, DSC, DVS and Dissolution.

• Experience managing projects at CROs/CDMOs.

• Experience with analytical method development, validation and method transfer.

• Work experience and knowledge of regulatory submission (IND, IMPD, and / or NDA).

• Knowledge and understanding of current ICH guidelines, GMP guidelines, and related industry practices.

• Strong problem-solving skills with sound technically driven decision-making ability.

• Excellent scientific and business communication skills (verbal, written and technical), strong interpersonal/collaboration skills and planning skills.

• Ability to think critically and creatively and be able to work independently to determine appropriate resources for resolution of problems.

• Ability to multi-task and thrive in a fast-paced innovative environment.

Preferred Skills:

• PhD or MS in analytical chemistry, organic chemistry, or related discipline.

• CMC experience with small Molecules is strongly desired, and experience in solid oral dosage is a plus.

• Familiarity with document management systems (such as Veeva or similar). #LI-Hybrid #LI-CT1

The Opportunity:

Revolution Medicines is seeking Scientist II to join the Drug Product team within Pharmaceutical Development & Manufacturing (PDM). This role will support the development of solid oral dosage forms for small molecule programs across the RVMD pipeline.

The successful candidate will contribute to formulation and process development activities from early-stage through late-stage clinical/commercial development, working closely with cross-functional partners and CDMOs to ensure robust, scalable, and compliant drug product manufacturing processes.

Key Responsibilities:

• Contribute to drug product development activities for new chemical entities (NCEs) from early development through late-stage clinical development, with exposure to commercialization activities.

• Design and execute drug product development and manufacturing activities for solid oral dosage forms, including:

  • Preformulation and formulation development.

  • Manufacturing process development.

  • Process scale-up, technology transfer, and process optimization.

  • Process validation and commercial manufacturing support.

• Support outsourced development and GMP drug product manufacturing activities at CDMOs including manufacturing oversight and troubleshooting.

• Design and execute experiments, analyze and interpret data and present results and conclusions to project teams.

• Work independently with limited supervision to conduct appropriate research and troubleshoot technical challenges, escalating complex issues as needed.

• Author and contribute to CMC documentation for regulatory submissions (e.g., INDs, NDAs, MAAs) and internal technical reports.

• Collaborate cross-functionally within CMC team (Clinical Supply, Analytical Development/QC, Quality Assurance, Drug Substance, Regulatory Affairs, and Project Management) and at enterprise level research/clinical/commercial teams to support aligned development strategy and execution.

• Travel up to 20% to CRO/CDMO sites to support and oversee development and manufacturing operations.

Required Skills, Experience and Education:

• A degree in Pharmaceutical Science, Chemistry, Chemical Engineering, or closely related field is desirable.

• Ph.D. with minimum of 3+ years of experience or a bachelor’s/master’s degree with appropriate experience in the pharmaceutical/biotech industry settings.

• Experience supporting drug product development and manufacturing for small molecules.

• Demonstrated experience in solid oral dosage formulation and process development for small molecules.

• Experience working with external partners (CDMOs/CROs) and overseeing outsourced development and manufacturing activities.

• Working knowledge of global regulatory expectations, including ICH guidelines and FDA, EMA, PMDA etc. requirements.

• Experience contributing to CMC regulatory filings is desirable.

• Strong technical writing, communication, and problem-solving skills.

• Ability to manage multiple priorities and thrive in a fast-paced, innovation-driven collaborative environment.

Preferred Skills:

• Ph.D. degree in Pharmaceutical Science, Chemistry, Chemical Engineering, or closely related field is desirable. 

  #LI-Hybrid #LI-CT1

The Opportunity:

We are seeking an experienced clinical science drug developer to serve as Medical Director in support of Revolution Medicines’ clinical-stage molecule(s). In this critical role, you will support various clinical science deliverables and enable effective and efficient execution of the clinical development plan for a molecule(s) within its particular indication(s).

The physician-scientist will focus on ensuring the accuracy, completeness, and integrity of clinical data supporting regulatory submissions (NDA, BLA, MAA). This role is uniquely positioned at the interface of clinical development, regulatory science, clinical data, and clinical operations, and will be instrumental in preparing pivotal datasets from the pivotal and supportive studies for successful global filings.

The ideal candidate brings a strong foundation in clinical medicine (M.D. or equivalent), oncology experience, and proven expertise in clinical trial data review, cleaning, and regulatory submission preparation. The scope of data review and support activities spans early-stage clinical research to pivotal studies including regulatory submissions. You will play a vital role in leading the clinical science aspects of the Clinical Development Plan (CDP) strategy, driving the development of transformative therapies for patients. Furthermore:

• Serve as the clinical point of accountability for data integrity in ongoing and completed studies across the oncology portfolio.

• Apply medical expertise to guide query resolution, adjudication of outliers, and clinical plausibility review during data cleaning.

• Collaborate with clinical study teams to align protocol design, CRFs, and data standards with downstream regulatory submission requirements.

• Lead clinical science aspects of the clinical development strategy and clinical documentation.

Represent the clinical development plan on appropriate teams, sub-teams and forums; oversee training of study site personnel, act as primary point-of-contact for questions/enquires regarding the CDP at a program level, oversee the conduct of medical/safety data reviews and study reporting.

• Partner with Regulatory Affairs, Biostatistics, Data Management, and Medical Writing to ensure clinical datasets, narratives, and summaries meet FDA, EMA, and ICH standards for NDA/BLA/MAA filings.

• Support the Medical Monitors Medical Lead and other team leads in clinical sections of regulatory dossiers, including Integrated Summary of Efficacy (ISE), Integrated Summary of Safety (ISS), and Clinical Study Reports (CSRs).

• Support in the preparation of responses to regulatory authorities and contribute to advisory committee briefing documents.

• Drive end-to-end data cleaning strategy, ensuring timely resolution of queries and reconciliation of safety, efficacy, and laboratory data.

• Lead clinical data review meetings, escalating issues and recommending solutions to maintain data reliability and consistency.

• Potential assignment to complex and high-priority strategic studies for Revolution Medicines’ molecules, with expectation to perform responsibilities with independence and clear self-directed leadership.

• Work closely with Data Management, Medical Monitors, CRO, Clinical Operations to ensure that site-level data collection, query resolution and other activities align with submission requirements.

• Partner with RevMed’s Pharmacovigilance to reconcile safety databases with clinical trial datasets.

• Cross-functionally align efforts seamlessly with scientific, regulatory, and commercial objects while executing upon the clinical development plan.

• Lead, mentor, and contribute to a high-performing cross-functional team of clinical development professionals, fostering a culture of collaboration, innovation, and excellence.

• Oversee all aspects of clinical trial design and execution, including site selection, patient recruitment, data management, and regulatory compliance.

• Establish and maintain strong relationships with clinical investigators, regulatory agencies, and key stakeholders.

• Gather, analyze and interpret clinical data, providing strategic insights to inform critical decisions and guide program development.

• Manage clinical development timelines effectively, ensuring efficient resource allocation and achievement of milestones.

• Stay abreast of the latest scientific advancements and regulatory trends in the field of clinical development.

Required Skills, Experience and Education:

• M.D. (or equivalent international medical degree, MBBS, MBChB,) with board certification/eligibility in Oncology; with subspecialty training in GI malignancies (strongly preferred).

• Minimum 5+ years’ experience in clinical development required in solid tumors generally, and GI Tumors (strongly preferred) .Pharma R&D experience outside of a clinical development role also considered pending transferability of skills and responsibilities within the biotech/pharmaceutical industry.

• Demonstrated experience with medical data review, cleaning for NDA or BLA filings and regulatory submissions.

• Strong working knowledge of data cleaning, database lock processes, and clinical data review.

• Proven ability to lead cross-functional clinical teams and contribute to strategic development plans.

• Excellent written and verbal communication skills for both scientific and regulatory audiences.

• Extensive experience working with the principles and techniques of data analysis, interpretation, and clinical relevance as related to the pharmaceutical/biotech industry.

• Experience in independent generation of trial design, protocol writing/ICF (writing or amendment), constructing appropriate CRF and coordinating cross-functionally.

• In-depth therapeutic area experience/expertise, and relevant clinical trial experience (or clear ability to adapt with transferable skills).

• Strong knowledge of medical aspects of GCP (Good Clinical Practice), ICH (International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use), FDA, EMA and other relevant guidelines and regulations is required.

• Proven ability to work effectively and efficiently within cross-functional teams involved in the drug development process; proven ability to efficiently integrate multiple perspectives into the CDP.

• Experience authoring regulatory briefing packs, write responses to Health Authority questions, and proven ability to contribute to strategic approach and cross-functional coordination in support of regulatory activities/interactions.

• Demonstrated success in driving various aspects of cross-functional study level strategy, e.g. study design, supporting feasibility and timelines/budget projections, protocol amendment requirements. Ability to drive relevant discussion at key internal decision-making bodies/governance.

• Proven ability to build and maintain strong relationships and contribute to interactions with external key opinion leaders to optimize clinical programs (e.g. advisory boards, individual engagements, steering committees, etc.).

• Experience in (or clear ability) investigator engagement to optimize clinical trial conduct. Includes presenting at investigator meetings.

• Strong orientation to teamwork. Excellent leadership, communication, and interpersonal skills with the ability to inspire, motivate and mentor across a diverse team.

• Experience in mentoring other team members. Experience or clear potential as an effective line manager.

• Expertise in building and maintaining strong relationships with internal and external stakeholders.

• Superb strategic thinking and analytical skills, with the ability to make data-driven decisions in a fast-paced environment. Able to recognize trade-off decisions and can determine priorities and goals.

• Strong written and business presentation skills is required.

• Passion for innovation and a commitment to developing therapies that make a meaningful difference in patients' lives.

• Demonstrated strong leadership presence.

• Has demonstrated adaptability and flexibility.

• Anticipates needs, assesses and manages business and organizational risks.

• Ability to thrive in a fast-paced, collaborative biotech environment.

Preferred skills:

• Experience in ongoing enhancements/development of core and sub-team processes, structures, systems, tools and other resources in the pharmaceutical/biotech industry.

• Has led clinical development contributions to major regulatory submissions (e.g. (s)NDA, (s)BLA, PIP/PSP, label negotiation, Breakthrough Therapy Designation, Accelerated Review) is a major plus.

• Proven ability to present the clinical development aspects of a program(s) to key major reference health authorities (FDA, EMA, others.) by teleconference or in-person. Has led Health Authority interaction(s).

• Proven ability to set out the clinical development strategy for CTA/EC submissions and responses to health authority questions.

• Has demonstrated collaborate behaviors on enterprise-level strategic initiatives with a variety of internal and external partners and stakeholders - including clinical investigators/clinicians, scientists and key opinion leaders (KOLs), as well as internal groups, including other groups in development, research, business development, commercial, legal, etc. - resulting in demonstrable outcomes that have further enhanced strategic goals.

• Influential and inspiring leader, with proven ability to bring teams and individuals along with them.

• Has demonstrated courage and conviction in past positions and responsibilities. Demonstrated skills in conflict resolution.

  #LI-Hybrid  #LI-SH1

The Opportunity:

As Executive Director, AI/ML Drug Discovery Analytics, you will be a senior leader shaping the future of data-driven drug discovery at Revolution Medicines. You will define the Research’s AI/ML strategy, oversee implementation of advanced analytics across discovery and build a world-class team to unlock the full potential of our rich internal datasets and make these insights accessible to other scientist. Your leadership will directly influence early discovery innovation, pipeline acceleration, and strategic portfolio decisions.

Responsibilities include:

Technical Leadership and Innovation: You will have a deep understanding of Machine Learning Operations and AI system design.  Design and scale a robust ML infrastructure, integrating MLOps best practices to ensure seamless development, deployment, and monitoring of AI/ML models.

Drive innovation in applying deep learning, generative models, and diffusion models to drug discovery, including target prediction, hit identification, and lead optimization. Leverage RevMed’s unique datasets to generate novel hypotheses and enable data-driven decision-making across the research continuum.

Strategic vision and Leadership: Define the long-term vision for AI/ML-enabled discovery and align it with organizational priorities.  Build, mentor, and inspire a cross-disciplinary team of data scientists, computational chemists, engineers, and biologists.  Establish key performance metrics and ensure delivery of impactful solutions that accelerate portfolio progression.

External and Cross-functional Collaboration: Forge partnerships with leading academic groups, technology innovators, and compute providers to access cutting-edge platforms and methodologies. Collaborate across research, chemistry, biology, and IT to identify high-impact opportunities for AI/ML integration and ensure smooth deployment of scalable solutions.  Act as a thought leader internally and externally, representing RevMed at scientific forums and shaping the broader field of AI-driven drug discovery.  Work closely with the Chief Digital Officer and team to build and drive the research vision for advanced analytics within the enterprise framework.  Lead the cross functional analytics team to harness data science and AI to accelerate early drug discovery.  

Required Skills, Experience and Education:

• Ph.D. or Masters degree in Computer Science, Machine Learning, Physics, Math or a relevant scientific discipline with over 10+ years’ experience, exposure to drug discovery is a plus.

• Expertise in a wide variety of AI/ML-based computational techniques and developing adaptable ML workflows to solve challenging problems.

• Deep understanding of AI/ML techniques such as deep learning, reinforment learning and generative models.

• Expertise in frameworks such as PyTorch/TensorFlow, training, and fine-tuning models on GPUs.

• Track record of deploying AI/ML solutions at scale.

• Proven track record of leadership and cross-functional collaboration across ML-Scientist, Software Engineering, and MLOps.

• Previous experience leading large AI/ML projects that require engaging with collaborators across the board and with varying degrees of expertise.

• Expertise in machine learning infrastructure and MLOps, including cloud and on-prem compute environments.

• Demonstrated ability to build, scale, and lead high-performing cross-functional teams.

• Strong communication and leadership skills with the ability to bridge diverse scientific and technical disciplines.

• Passion for scientific innovation and a relentless commitment to improving patient outcomes.

Preferred Skills:

• Proven track record of applying advanced AI/ML approaches (deep learning, generative modeling, structure-based ML) to drug discovery or related life sciences domains.

• Knowledge of oncology therapeutic area and drug discovery.

• Strong familiarity with biological and chemical datasets and compound libraries.

• Evidence of successful coaching, mentorship and development of both individuals and teams in order to build long-term organizational capability.

#LI-Hybrid  #LI-GL1

The Opportunity:

The Targets and Mechanisms group within Discovery Biology leverages expertise in cancer biology and deep mechanistic understanding of cancer-relevant pathways to identify and characterize high-priority oncology targets for our tri-complex inhibitor (TCI) platform. We are looking for an experienced drug hunter to lead the Target Biology team, provide hands-on scientific and people leadership, and work cross-functionally to identify and rapidly assess promising new targets, determine hit identification strategy, and advance screening hits through the early stages of hit-to-lead discovery. The ideal candidate will be a strategic thinker and an accomplished scientist with experience identifying and vetting targets for oncology programs, familiarity with different targeting modalities, including molecular glues, and hands-on hit to lead experience.

In this role you will:

• Lead a team of scientists focused on target identification, prioritization, and biological validation.

• Work cross-functionally with partners in Medicinal Chemistry, Structural Biology, Discovery Biology, Translational Research, and Cancer Immunology to prioritize oncology targets, implement hit discovery plans, and drive progression from hit identification through lead generation.

• Collaborate with the Translational Research function to apply learnings from clinical and preclinical studies to inform new target identification and prioritization.

• Spearhead innovative approaches and technologies for target discovery and hit identification, specifically in the context of hard-to-drug oncology targets.

• Provide scientific leadership to the team, including technical guidance, coaching, and mentoring.

• Foster a culture of curiosity, scientific rigor, and excellence, driven by RevMed’s core values and commitment to improving patients’ lives.

• Implement data-driven decision-making processes to prioritize targets and allocate resources effectively.

Required Skills, Experience and Education:

We are looking for a driven team leader and an excellent team player to guide the Target Biology team and support overall Discovery Biology efforts.

• PhD in chemical biology, cell-biology, biochemistry, or a related scientific discipline.

• Minimum of 10 years of industry experience, ideally in early-stage drug discovery.

• Experience as a team leader in an industry setting with demonstrated ability to build strong cross-functional relationships and effectively drive early discovery programs.

• Proven problem solver with strong scientific background and expertise in experimental design and data interpretation.

• Excellent communication and decision-making skills.

Preferred Skills:

• Knowledge of molecular glue discovery, cellular models, phenotypic screening, and target identification by chemical labeling.

• Familiarity with multi-omics data, genetic screens (e.g., synthetic lethality) and their application in early discovery.

• Experience applying advanced analytical techniques (e.g. AI and ML) to generate hypotheses from large, multidimensional data sets.

• Project team leadership experience in early-stage discovery programs.

• Experience working with different modalities, such as small molecules, biologics, and molecular glues. 

  #LI-Hybrid  #LI-LN1

The Opportunity:

We are seeking an experienced clinical scientist to serve as Associate Director, Clinical Science in support of Revolution Medicines’ late-stage clinical programs.  In this role, you will independently lead defined clinical science workstreams within pivotal and supportive studies and support execution of the registrational clinical development strategy for assigned molecule(s) and indication(s). The Associate Director plays a critical role in ensuring high-quality clinical data review, protocol consistency, and submission-readiness for late-stage programs. This position operates with substantial autonomy within assigned scope and collaborates closely with more senior clinical science team members and the study Medical Director to ensure medically sound and regulatory-aligned execution. Furthermore:

• Independently lead defined clinical science workstreams within pivotal and registration-enabling studies (e.g., endpoint strategy, data review oversight, CSR section ownership, data consistency initiatives).

• Contribute substantially to protocol development, CRF design, ICF updates, and alignment of data standards with downstream regulatory requirements.

• Drive ongoing clinical data review activities, including plausibility review, query trend analysis, and preparation for database lock.

• Accountable for assigned clinical science deliverables supporting regulatory submissions, including CSR sections, briefing package content, and health authority response inputs.

• Support preparation of regulatory documentation and responses to health authority questions.

• Collaborate closely with Biostatistics, Data Management, Medical Writing, Medical Directors, Pharmacovigilance, and Clinical Operations to ensure alignment and submission readiness.

• Participate in study team meetings and represent Clinical Science in sub-team discussions.

• May serve as Clinical Science lead for smaller or supportive studies, based on experience and study complexity.

• Mentor Senior Clinical Scientists and Clinical Scientists as appropriate.

• Proactively identify risks, propose mitigation strategies, and escalate significant issues as appropriate to Directors or Senior Directors.

• Contribute to cross-functional discussions to support eSective and eSicient study execution.

Required Skills, Experience and Education:

• Bachelor’s Degree (life sciences preferred); Advanced Clinical/Science Degree is a plus (e.g., PharmD, PhD, MSN, MPH, etc.).

• 5+ years of clinical development or relevant experience within a pharmaceutical, biotech, or academic clinical research setting; late-stage development experience preferred.

• Demonstrated experience contributing to pivotal or registration-enabling studies.

• Strong knowledge of GCP, ICH, FDA, EMA, and other relevant regulatory guidelines.

• Experience contributing to protocol development, CRF design, and regulatory documentation.

• Strong analytical skills and experience interpreting clinical trial data.

• Proven ability to work eSectively in cross-functional teams and integrate multiple perspectives.

• Excellent written and verbal communication skills.

• Strong organizational skills and ability to manage multiple deliverables.

Preferred Skills:

• Experience contributing to NDA/BLA/MAA submission components.

• Experience supporting health authority interactions.

• Demonstrated ability to lead defined study-level initiatives.

• Experience mentoring junior clinical science staffs.

#LI-Hybrid  #LI-SH1

The Opportunity:

We are seeking an experienced clinical science drug developer to serve as Senior Medical Director in support of Revolution Medicines’ clinical-stage molecule(s). In this critical role, you will support various clinical science deliverables and enable effective and efficient execution of the clinical development plan for a molecule(s) within its particular indication(s).

The physician-scientist will focus on ensuring the accuracy, completeness, and integrity of clinical data supporting regulatory submissions (NDA, BLA, MAA). This role is uniquely positioned at the interface of clinical development, regulatory science, clinical data, and clinical operations, and will be instrumental in preparing pivotal datasets from the pivotal and supportive studies for successful global filings.

The ideal candidate brings a strong foundation in clinical medicine (M.D. or equivalent), oncology experience, and proven expertise in clinical trial data review, cleaning, and regulatory submission preparation. The scope of data review and support activities spans early-stage clinical research to pivotal studies including regulatory submissions. You will play a vital role in leading the clinical science aspects of the Clinical Development Plan (CDP) strategy, driving the development of transformative therapies for patients. Furthermore:

• Serve as the clinical point of accountability for data integrity in ongoing and completed studies across the oncology portfolio.

• Apply medical expertise to guide query resolution, adjudication of outliers, and clinical plausibility review during data cleaning.

• Collaborate with clinical study teams to align protocol design, CRFs, and data standards with downstream regulatory submission requirements.

• Lead clinical science aspects of the clinical development strategy and clinical documentation.

• Represent the clinical development plan on appropriate teams, sub-teams and forums; oversee training of study site personnel, act as primary point-of-contact for questions/enquires regarding the CDP at a program level, oversee the conduct of medical/safety data reviews and study reporting.

• Partner with Regulatory Affairs, Biostatistics, Data Management, and Medical Writing to ensure clinical datasets, narratives, and summaries meet FDA, EMA, and ICH standards for NDA/BLA/MAA filings.

• Support the Medical Monitors Medical Lead and other team leads in clinical sections of regulatory dossiers, including Integrated Summary of Efficacy (ISE), Integrated Summary of Safety (ISS), and Clinical Study Reports (CSRs).

• Support in the preparation of responses to regulatory authorities and contribute to advisory committee briefing documents.

• Drive end-to-end data cleaning strategy, ensuring timely resolution of queries and reconciliation of safety, efficacy, and laboratory data.

• Lead clinical data review meetings, escalating issues and recommending solutions to maintain data reliability and consistency.

• Potential assignment to complex and high-priority strategic studies for Revolution Medicines’ molecules, with expectation to perform responsibilities with independence and clear self-directed leadership.

• Work closely with Data Management, Medical Monitors, CRO, Clinical Operations to ensure that site-level data collection, query resolution and other activities align with submission requirements.

• Partner with RevMed’s Pharmacovigilance to reconcile safety databases with clinical trial datasets.

• Cross-functionally align efforts seamlessly with scientific, regulatory, and commercial objects while executing upon the clinical development plan.

• Lead, mentor, and contribute to a high-performing cross-functional team of clinical development professionals, fostering a culture of collaboration, innovation, and excellence.

• Oversee all aspects of clinical trial design and execution, including site selection, patient recruitment, data management, and regulatory compliance.

• Establish and maintain strong relationships with clinical investigators, regulatory agencies, and key stakeholders.

• Gather, analyze and interpret clinical data, providing strategic insights to inform critical decisions and guide program development.

• Manage clinical development timelines effectively, ensuring efficient resource allocation and achievement of milestones.

• Stay abreast of the latest scientific advancements and regulatory trends in the field of clinical development.

Required Skills, Experience and Education:

• M.D. (or equivalent international medical degree, MBBS, MBChB,) with board certification/eligibility in Oncology or Hematology-Oncology; subspecialty training in GI malignancies strongly preferred.

• Minimum 13+ years’ experience in clinical development required (Pharma R&D experience outside of a clinical development role also considered pending transferability of skills and responsibilities).

• Minimum 5 years of experience in late-stage clinical development within the biotech/pharmaceutical industry.

• Demonstrated experience with medical data review, cleaning for NDA or BLA filings and regulatory submissions.

• Strong working knowledge of data cleaning, database lock processes, and clinical data review.

• Proven ability to lead cross-functional clinical teams and contribute to strategic development plans.

• Excellent written and verbal communication skills for both scientific and regulatory audiences.

• Extensive experience working with the principles and techniques of data analysis, interpretation, and clinical relevance as related to the pharmaceutical/biotech industry.

• Experience in independent generation of trial design, protocol writing/ICF (writing or amendment), constructing appropriate CRF and coordinating cross-functionally.

• In-depth therapeutic area experience/expertise, and relevant clinical trial experience (or clear ability to adapt with transferable skills).

• Strong knowledge of medical aspects of GCP (Good Clinical Practice), ICH (International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use), FDA, EMA and other relevant guidelines and regulations is required.

• Proven ability to work effectively and efficiently within cross-functional teams involved in the drug development process; proven ability to efficiently integrate multiple perspectives into the CDP.

• Experience authoring regulatory briefing packs, write responses to Health Authority questions, and proven ability to contribute to strategic approach and cross-functional coordination in support of regulatory activities/interactions.

• Demonstrated success in driving various aspects of cross-functional study level strategy, e.g. study design, supporting feasibility and timelines/budget projections, protocol amendment requirements. Ability to drive relevant discussion at key internal decision-making bodies/governance.

• Proven ability to build and maintain strong relationships and contribute to interactions with external key opinion leaders to optimize clinical programs (e.g. advisory boards, individual engagements, steering committees, etc.).

• Experience in (or clear ability) investigator engagement to optimize clinical trial conduct. Includes presenting at investigator meetings.

• Strong orientation to teamwork. Excellent leadership, communication, and interpersonal skills with the ability to inspire, motivate and mentor across a diverse team.

• Experience in mentoring other team members. Experience or clear potential as an effective line manager.

• Expertise in building and maintaining strong relationships with internal and external stakeholders.

• Superb strategic thinking and analytical skills, with the ability to make data-driven decisions in a fast-paced environment. Able to recognize trade-off decisions and can determine priorities and goals.

• Strong written and business presentation skills is required.

• Passion for innovation and a commitment to developing therapies that make a meaningful difference in patients' lives.

• Demonstrated strong leadership presence.

• Has demonstrated adaptability and flexibility.

• Anticipates needs, assesses and manages business and organizational risks.

• Ability to thrive in a fast-paced, collaborative biotech environment.

Preferred skills:

• Experience in ongoing enhancements/development of core and sub-team processes, structures, systems, tools and other resources in the pharmaceutical/biotech industry.

• Has led clinical development contributions to major regulatory submissions (e.g. (s)NDA, (s)BLA, PIP/PSP, label negotiation, Breakthrough Therapy Designation, Accelerated Review) is a major plus.

• Proven ability to present the clinical development aspects of a program(s) to key major reference health authorities (FDA, EMA, others.) by teleconference or in-person. Has led Health Authority interaction(s).

• Proven ability to set out the clinical development strategy for CTA/EC submissions and responses to health authority questions.

• Has demonstrated collaborate behaviors on enterprise-level strategic initiatives with a variety of internal and external partners and stakeholders - including clinical investigators/clinicians, scientists and key opinion leaders (KOLs), as well as internal groups, including other groups in development, research, business development, commercial, legal, etc. - resulting in demonstrable outcomes that have further enhanced strategic goals.

• Influential and inspiring leader, with proven ability to bring teams and individuals along with them.

• Has demonstrated courage and conviction in past positions and responsibilities. Demonstrated skills in conflict resolution. #LI-Hybrid  #LI-SH1

We are hiring an Applied Scientist to help advance personalization across the Crunchyroll ecosystem. In this role, you will lead the scientific development of recommendation, ranking, and decisioning solutions that improve how fans discover and engage with anime series/movies, manga, merchandise, games, and other areas in the anime fandom. You will partner closely with Machine Learning Engineers, Product, Engineering, Marketing, and Content stakeholders to make Crunchyroll the ultimate destination for anime experience.

About the role

In the role of Senior Applied Scientist for Recommendation and Personalization, you will report to the Director of Data Science and Machine Learning in our Center for Data and Insights. You will own the research and applied science agenda for personalization, from problem framing and data exploration through model development, evaluation, experimentation, and iteration. This role is ideal for someone who enjoys combining strong scientific rigor with product thinking to improve user discovery, engagement, retention, and long-term fan value.

You will work across multiple user touchpoints, including app and web interfaces, lifecycle and promotional email campaigns, and flywheels that connect video, ecommerce, manga, and adjacent experiences. You will help define what great personalization looks like at Crunchyroll, build the evidence to prove impact, and collaborate with engineering partners to ensure the resulting solutions can be productionized effectively.

This position is based in our Los Angeles office, but we will consider our San Francisco office as a secondary location. We work a hybrid schedule, in-office three days a week: Tuesday, Wednesday, and Thursday. 

Core areas of responsibility

• Lead the research and development of recommendation, ranking, retrieval, and personalization methods tailored to Crunchyroll use cases across streaming, manga, ecommerce, and lifecycle marketing surfaces.
• Frame ambiguous business and product questions into clear scientific problems, hypotheses, success metrics, and experimentation plans.
• Design and run robust offline evaluation frameworks for recommender systems, including relevance, diversity, novelty, coverage, calibration, and long-term value metrics.
• Partner with Product, Analytics, and Engineering to define online experiments, interpret results, and turn learnings into roadmap decisions and model improvements.
• Develop user, content, and contextual understanding through feature design, representation learning, segmentation, and behavioral analysis.
• Prototype and evaluate a range of approaches, including collaborative filtering, content-based methods, sequence modeling, deep learning, bandits, causal or uplift methods, and LLM-enabled recommendation techniques where appropriate.
• Analyze user feedback loops and cross-domain interactions to improve discovery across video, merchandise, manga, and other ecosystem experiences.
• Work closely with Machine Learning Engineers to translate promising research into production-ready solutions on our in-house recommendation platform.
• Communicate scientific findings, model tradeoffs, and business implications clearly to technical and non-technical stakeholders.
• Help establish best practices for experimentation, reproducibility, model governance, and scientific documentation within the personalization and recommendations function.

About you

We get excited about candidates, like you, because you have:

Experience: You bring 5+ years of experience in applied machine learning, recommendation systems, search/ranking, experimentation, or a closely related area, with a track record of driving measurable product impact.

Scientific Depth: You have strong foundations in machine learning, statistics, experimental design, and causal thinking, and you know how to choose the right level of modeling complexity for the problem at hand.

Recommendation Expertise: You have hands-on experience with at least some of the following: collaborative filtering, retrieval and ranking systems, representation learning, sequence / generative models, bandits, graph methods, or personalization for consumer products.

Technical Skills: You are highly proficient in Python and comfortable working with common ML libraries such as PyTorch, TensorFlow, Scikit-learn, XGBoost, or similar tooling. Experience working with SQL, distributed data processing, and cloud-based ML workflows is strongly preferred.

Experimentation Mindset: You know how to design offline and online evaluations, reason carefully about metrics, and connect experimental findings to user and business outcomes.

Cross-Functional Collaboration: You have experience partnering effectively with engineers, product managers, analysts, marketers, and business stakeholders to move from idea to execution.

Communication Skills: You can explain sophisticated modeling decisions and ambiguous findings in a clear, decision-oriented way to diverse audiences.

Educational Background: You hold an MS or PhD in Computer Science, Machine Learning, Statistics, Operations Research, Economics, or a related quantitative discipline, or you bring equivalent applied industry experience.

Nice to have

• Experience personalizing content, commerce, media, entertainment, gaming, or subscription products at scale.
• Familiarity with recommender-system failure modes such as popularity bias, cold start, sparse feedback, and feedback loop effects.
• Experience with multi-objective optimization, constrained ranking, or balancing short-term engagement with long-term user value.
• Exposure to generative AI, representation learning, or LLM applications that support recommendation and personalization workflows.
• Published research, patents, or open-source contributions in recommendation systems, personalization, applied machine learning, or experimentation.

About the team

Our centralized DS/ML team serves stakeholders across Finance, Product, Engineering, Marketing, Creatives, and Content Operations with data-driven and ML/AI-powered solutions. Within that broader organization, the Personalization and Recommendation group is building the next generation capabilities to power tailored fan experiences across every major user interface and lifecycle touchpoint. Today, the team includes engineers focused on operationalizing our recommendation platform with strong engineering excellence. This Applied Scientist role complements that foundation by bringing deeper scientific ownership to modeling strategy, evaluation, and experimentation, while partnering closely with an additional MLE hire to accelerate production impact.

Why this role is exciting

• You will help define personalization strategy across multiple surfaces instead of optimizing a single narrow funnel.
• You will work on problems that span content discovery, user engagement, retention, and cross-domain ecosystem value.
• You will influence both what we build and how we measure success, with strong exposure to partners across the business.
• You will join at a formative moment, with the opportunity to shape team standards, technical direction, and long-term roadmap.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

ABOUT THE JOB

The ACLU seeks applicants for the full-time position of Data Scientist II, Natural Language Processing (NLP) Specialist in the Analytics Division of the Technology Department of the ACLU’s National office in New York, NY, San Francisco, CA, or Washington, DC. This is a hybrid role that has in-office requirements of two (2) days per week or eight (8) days per month. 

The ACLU Technology Department is a broad umbrella covering both the ACLU’s Analytics and its Product & Engineering teams, two robust and innovative divisions that power the work of the ACLU. The department provides trusted, dependable, and impactful analytics, engineering, as well as product management and product design expertise for the ACLU. In partnership with experts across the ACLU, the Technology Team delivers best-in-class solutions, services, and innovation that advance the ACLU mission and organizational priorities. The tech team strives to ensure the ACLU leads by example in the ethical use of technology by ensuring privacy and security standards are maintained, directional insights are used to inform programming and business strategy, best-in-class products are designed to get the ACLU message out into the world and grow the ACLU supporter base, as well as to help steward high standards for algorithmic fairness, accountability, and transparency.  

The Analytics division includes analysts, data scientists, survey experts, social scientists, and analytics engineers that support evidence-based decision making and bring quantitative insights on our issues to the courtroom and the public. 

This position is part of a collective bargaining unit. It is represented by ACLU Staff United (ASU).

WHAT YOU'LL DO 

Reporting to the Data Science Manager — Algorithmic Justice Specialist and collaborating closely with our DevOps Engineering Team, Product Manager for Discovery, and Algorithmic Justice Fellow, the Data Scientist II, NLP Specialist, will support development and evaluation work for high-priority, carefully scoped projects using NLP to support the ACLU’s mission. In this role, the NLP Specialist will be responsible for evaluating proposed uses of generative AI and non-generative natural language AI systems, providing recommendations on whether AI tooling is appropriate or ill-suited for various tasks, and when appropriate, contributing to the development and implementation of AI-based solutions to support the organization’s mission.  

YOUR DAY TO DAY

• Work with various teams and departments to evaluate proposed AI use cases for feasibility and alignment with ACLU values and requirements related to privacy, security, transparency, bias, and environmental impacts  
• Provide recommendations to department and organizational leaders on whether AI tooling is appropriate or ill-suited for various tasks and use cases 
• Develop recommendations and architecture plans for intentional, carefully crafted uses of NLP tooling, appropriately selecting generative or non-generative AI systems and related guardrails and monitoring based on the context and requirements of the use case 
• Contribute to the development and implementation of AI-based solutions when appropriate, collaborating with various departments to ensure successful design, deployment, and continuous evaluation of such systems 
• Contribute to the establishment of AI governance practices and standards in collaboration with colleagues across the organization 
• Contribute to the development of context-specific, high-quality benchmarks for language modelling systems tailored for civil rights and public interest organizations 
• Contribute to various other projects supporting the ACLU’s litigation and policy work by applying natural language processing methods to policy or regulatory text data  
• When relevant, collaborate with academic and civil society researchers to turn your learnings and insights into resources to benefit other public interest organizations 
• Brief departmental leadership on relevant AI research and developments and prepare materials for senior leaders’ speaking engagements on AI issues 
• Communicate to non-technical audiences—including ACLU lawyers, policy advocates, and other staff—details of how large language models (LLMs) and small language models (SLMs) are designed and deployed, including their civil rights implications 
• Implement tooling to estimate the environmental impact of deployed AI systems 
• Stay abreast of important developments in the generative AI research and development space 

FUTURE ACLU'ERS WILL 

• Be committed to advancing the mission of the ACLU
• Center and embed the principles of equity, inclusion and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives
• Be committed to work collaboratively and respectfully toward resolving obstacles and conflicts

WHAT YOU'LL BRING

• Substantial research or professional experience on issues related to fairness, accountability, and transparency of artificial intelligence (AI) systems, especially generative AI systems 
• Substantial expertise and training in the field of natural language processing, including experience conducting statistical analyses with text data, evaluating and implementing machine learning methods for text data, and strong understanding of text representation techniques 
• Strong familiarity with language modeling and natural language techniques, including strong understanding of the core concept underlying the design of small language models (SLMs) and large language models (LLMs)  
• Substantial experience writing code in Python and working with open-source NLP libraries such as transformers and NLTK 
• Substantial experience working with text data from legal, policy, and social science contexts, such as legal filings, statutes, and regulations 
• Familiarity with the core concepts underlying multi-modal (e.g., text-to-speech, text-to-video, etc.) generative AI systems and experience working with multi-modal datasets 
• Familiarity with popular approaches and frameworks for monitoring and evaluating AI-enabled systems, especially generative AI systems 
• Professional or research experience developing software and strong familiarity with common software engineering practices such as version control, testing, and code reviews 
• Experience developing documentation of technical products and systems tailored to both technical and non-technical audiences 
• Experience working with cloud services (e.g. Amazon Web Services, Azure) a nice to have 
• Excellent communication skills, including the ability to communicate complex technical concepts clearly to technologists without NLP expertise and non-technical stakeholders 
• Excellent project management and collaboration skills, with a track record of partnering with cross-functional teams to translate organizational needs into technical solutions 

COMPENSATION

WHY THE ACLU

For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people.

We know that great people make a great organization. We value our people and know that what we offer is essential not just their work, but to their overall well-being. 

At the ACLU, we offer a broad range of benefits, which include:

• Time away to focus on the things that matter with a generous paid time-off policy
• Focus on your well-being with comprehensive healthcare benefits (including medical, dental and vision coverage, parental leave, gender affirming care & fertility treatment)
• Plan for your retirement with 401k plan and employer match
• We support employee growth and development through annual professional development funds, internal professional development programs and workshops

OUR COMMITMENT TO ACCESSIBILITY, EQUITY, DIVERSITY & INCLUSION

Accessibility, equity, diversity and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. For us diversity, equity, accessibility, and inclusion are not just check-the-box activities, but a chance for us to make long-term meaningful change.  We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression, anti-ableism, and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.

With this commitment in mind, we strongly encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law.    

The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email benefits.hrdept@aclu.org. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process.

The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program.