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.

Summary:

Vaxcyte is seeking an Associate Scientist II (Contract), Conjugation Development, who will contribute to the development of a robust process for generating the company’s proprietary pneumococcal conjugate vaccine. This role will focus on the synthesis, purification, and analytical characterization of chemically modified polysaccharides and polysaccharide-protein conjugates. The successful candidate will apply a strong foundation in analytical chemistry and laboratory techniques to optimize and troubleshoot processes, while also supporting related areas such as analytical development and stability studies. This position requires strong organizational skills, clear communication, and the ability to work in a fast-paced, cross-functional environment.

Essential Functions:

• Perform and optimize multi-step syntheses of protein-polysaccharide conjugates.
• Purify polysaccharides and conjugates using methods including dialysis, size-exclusion chromatography, and tangential flow filtration (TFF).
• Analyze polysaccharides and conjugates using methods such as colorimetric assays, HPLC assays, SEC-MALS, and SDS-PAGE, and contribute to method bridging studies and qualification to ensure robustness and consistency.
• Maintain accurate, well-organized experimental records and support data verification and analysis to enable process optimization and reproducibility.
• Assist with troubleshooting of synthesis, purification, and analytical procedures.
• Track inventory of critical reagents and assist with ordering as needed.
• Support maintenance of assigned lab instruments, perform general lab duties, and contribute to training new team members.
• Present experimental results and progress updates at group meetings.
• Contribute to laboratory protocols, reports, and other documentation supporting process development.
• Collaborate effectively with team members and contribute to cross-functional activities.

Requirements: 

• BS degree in Chemistry, Biochemistry, or related field with minimum 2 years of industry experience, or MS degree with minimum 1 years of industry experience.
• Experience with laboratory-scale protein purification methods such as dialysis, diafiltration, and size-exclusion chromatography; experience with TFF is desirable.
• Working knowledge of analytical methods including colorimetric assays, HPLC, SEC, and SDS-PAGE.
• Hands-on experience with protein conjugation reactions or chemical modification of polysaccharides is desirable.
• Strong attention to detail, organizational skills, and record-keeping abilities.
• Effective communication skills, both verbal and written.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Enthusiasm for learning new skills and applying them to challenges outside of current expertise.
• Commitment to integrity, professionalism, and safety in all aspects of work.

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.

Summary:

Vaxcyte is seeking Senior Associate Scientist (Contract), Conjugation Development, who will support the development of a robust process for generating the company’s proprietary pneumococcal conjugate vaccine. This role will focus on analysis of vendor-supplied materials in a capacity similar to a Quality Control Lab, as well as supporting the Conjugation Development team as needed. This is lab-based, full-time position that requires strict adhesion to protocols and documentation standards. The ideal candidate has strong organizational skills, clear communication, a high level of attention to detail, and experience working in a QC environment.

Essential Functions:

• Conduct analyses of vendor-supplied samples using colorimetric assays, gel electrophoresis, and liquid chromatography while strictly adhering to established SOPs
• Support lab operations
• Track shipping details for vendor-supplied samples.
• Review analytical assay data for adherence to SOPs and accuracy.
• Maintain organized records of review status of notebook entries and analytical data.
• Contribute to reports, certificates, and other documentation supporting process development.
• Collaborate effectively with team members and contribute to cross-functional activities.

Requirements: 

• BS degree in Chemistry, Biochemistry, or related field with minimum 5 years of industry experience, or MS degree with minimum 3 years of industry experience.
• At least 2 years of experience in an analytical development or quality control role.
• Prior experience running colorimetric assays is required.
• Prior experience with HPLC is required.
• Prior experience with SDS-PAGE is required.
• Excellent attention to detail, organizational skills, and record-keeping abilities.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Commitment to integrity, professionalism, and safety in all aspects of work.

We are looking for an AI Developer Advocate to join our Developer Relations team. In this role, you will help promote MongoDB's artificial intelligence (AI) capabilities. As more developers choose MongoDB as their data platform, your responsibilities will include directly engaging with the community, building strategic partnerships with AI companies, creating inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to Fortune 500 companies—to integrate advanced data and AI capabilities into their applications and solutions. If you are passionate about helping builders explore the possibilities of AI and enjoy cultivating a vibrant developer ecosystem, we invite you to join us in shaping the future of development on MongoDB.

Our Developer Relations teams are distributed across the globe, with most members working remotely. This position will be based in the San Francisco Bay Area. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

We are looking to speak to candidates who are based in San Francisco for our hybrid working model.

Candidate Profile

We are excited to welcome an influential individual to our team who is already a well-established voice in AI. From your experience over the past few years, we’ll see you in videos and at events sharing technical insights, leading discussions, and inspiring others to effectively use AI and ML capabilities. You’ve also created articles, tutorials, and hands-on workshops to teach builders best practices and equip them to leverage AI in their apps. 

At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 3 years of experience in a builder role, such as a data scientist or developer, where they crafted AI solutions in production. They will have 8+ total years of experience through any combination of builder role (such as data scientist or developer), educator role (such as developer advocate or developer educator), or customer-facing role (such as solution architect). 

Our ideal candidate will also have connections with AI companies and communities in the San Francisco Bay Area. You will work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem. 

You are an effective teacher who can explain complex topics in a simple and easy-to-understand way. Along with an appreciation for the key AI-related features of our platform, such as vector search and Voyage AI, you will also develop a strong understanding of MongoDB's core capabilities, data modeling, and emerging trends in our industry.

Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with others at all levels, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful. 

Position Expectations

Below are examples of the types of work you will be doing. Your mix of activities will vary week to week based on priorities and event schedules. 

• Build on a solid foundation of ML/AI expertise, adding to your database experience to become a MongoDB expert
• Expand your knowledge of embedding models and rerankers to become an expert in Voyage AI
• Collaborate with our events and field teams to engage developers and founders in the Bay Area at meetups, events, hackathons, and startup houses
• Speak at strategic AI events and lead workshops at high-profile conferences such as AWS re:Invent 
• Create and update tutorials, articles, videos, and workshops along with their associated workflows or workflows or code examples
• Provide feedback to our Product and Technology team, serving as the voice of the developer as new products are scoped and planned
• Regularly interface with Partner Managers to identify opportunities to work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem 
• Partner with our community team to support engagement with third-party and first-party user groups (MUGs), Champions, and influencer programs across the region
• Lead one-hour sessions (both virtual and in-person) with customer teams to evaluate their AI use cases and provide recommendations on how they can better utilize MongoDB

Requirements

• Expertise in building AI or ML solutions and comfortable building agentic solutions
• Advanced familiarity with several AI coding and workflow tools, and how platforms are recommended through content, preference, and integration
• Expertise with one or more complementary programming languages (Python or JavaScript preferred)
• Knowledgeable and connected in the Bay Area AI ecosystem
• Prolific author of content (tutorials, how-to guides, readmes) and associated code to help developers learn
• Established portfolio or active contributor to AI examples and Agent Skills in GitHub
• Engaging presenter at in-person events, videos, webinars, or live streams 
• Up to 25% of time traveling to Bay Area engagements (like meetups, events, hackathons, and startup houses)
• Up to 10% of time traveling outside of the Bay Area for industry events 

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273376493

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

• 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.

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.

About the Role
We are looking for an AI Scientist to join our team at the intersection of machine learning and single-cell biology. This role will focus on developing and applying foundation models to large-scale perturb-seq and single-cell datasets to uncover new biological mechanisms and therapeutic opportunities. You will help design scalable ML architectures that can extract insight from high-dimensional perturbation data and integrate across multi-omic modalities.

Key Responsibilities

• Design, train, and refine foundation models tailored to perturb-seq and other single-cell datasets.
  Build pipelines for preprocessing, normalization, and integration of large-scale single-cell and perturbation data.
• Apply ML/AI approaches to model cellular responses to perturbations and identify causal biological insights.
• Collaborate with experimental biologists to align computational methods with experimental design and discovery goals.
• Develop multimodal integration approaches across transcriptomic, epigenomic, and proteomic single-cell readouts.
• Publish methods and results in top scientific journals and present at conferences.
  
  

Qualifications

• PhD or equivalent in Computational Biology, Computer Science, Bioinformatics, or related discipline.
• Strong expertise in single-cell data analysis, particularly perturb-seq 
• Hands-on experience with foundation models or large-scale self-supervised learning (e.g., transformers, variational autoencoders).
• Strong coding skills in Python, ML frameworks (PyTorch/TensorFlow), and single-cell analysis tools (Scanpy, Seurat).
• Experience in developing scalable ML methods for large biological datasets.
  
  

Preferred

• Background in causal inference, generative models, or representation learning for biological systems.
• Familiarity with multi-omics integration and cross-modal foundation models.
• Track record of impactful publications in computational biology, machine learning, or related fields.

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 $150,000 - $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.

About the Role
We are seeking an Associate Scientist to join our High-Throughput (HTP) team to support the discovery and development of innovative protein therapeutics. This role focuses on the design and execution of HTP expression, purification, and characterization campaigns. You will work at the interface of biochemistry and automation, collaborating closely with our robotics and data teams to advance candidate molecules from in silico design to physical validation.

About You
The successful candidate works effectively both independently and as part of cross-functional teams. Experience collaborating with discovery, process development, and analytical departments is highly desirable. We require an adaptable scientist with strong communication skills and the ability to present data across team and departmental levels. You should excel in fast-paced environments, managing multiple responsibilities and shifting priorities. You are expected to work effectively both independently and as part of a team to drive complex projects forward. This is a hands-on role suited for a scientist who is passionate about advancing drug discovery and development through innovation and scientific rigor.

Key Responsibilities

• High throughput protein expression, purification and characterization from multiple systems including cell free systems and mammalian is the primary responsibility.
• Drive team throughput and data quality by developing novel strategies for parallel protein processing. Key responsibilities include optimizing expression and purification workflows and conducting quality control and functional assays for proteins used in therapeutic development and in silico design.
• Excellent record keeping and organization is a must
• The experience and flexibility to work on upstream medium scale expression and downstream purification is a plus.
• Perform analytical characterization of purified proteins using HPLC, CE-SDS, and icIEF to ensure high-quality candidates for therapeutic development.

Qualifications

• B.S. (6+ years) or M.S. (6+ years) in a relevant scientific discipline; industrial experience preferred. (PhD (2+ years)
• Proven expertise in high-throughput (HTP) protein production, with a specific focus on cell-free protein expression (CFPE) and/or mammalian transient expression systems.
• Understanding of the biophysics of protein-protein interactions, protein chemistry, experience in the molecular biology and biophysical techniques essential for protein work is required.
• Demonstrated hands-on experience with high-throughput (96/384-well) expression and purification workflows.
• Proven track record of independent project management and cross-functional collaboration.
• Dedicated to inclusive leadership and maintaining a respectful, diverse team environment.

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 $101,000 - $126,000 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.

Summary:

Vaxcyte is seeking an Associate Scientist II (Contract), Conjugation Development, who will contribute to the development of a robust process for generating the company’s proprietary pneumococcal conjugate vaccine. This role will focus on the synthesis, purification, and analytical characterization of chemically modified polysaccharides and polysaccharide-protein conjugates. The successful candidate will apply a strong foundation in analytical chemistry and laboratory techniques to optimize and troubleshoot processes, while also supporting related areas such as analytical development and stability studies. This position requires strong organizational skills, clear communication, and the ability to work in a fast-paced, cross-functional environment.

Essential Functions:

• Perform and optimize multi-step syntheses of protein-polysaccharide conjugates.
• Purify polysaccharides and conjugates using methods including dialysis, size-exclusion chromatography, and tangential flow filtration (TFF).
• Analyze polysaccharides and conjugates using methods such as colorimetric assays, HPLC assays, SEC-MALS, and SDS-PAGE, and contribute to method bridging studies and qualification to ensure robustness and consistency.
• Maintain accurate, well-organized experimental records and support data verification and analysis to enable process optimization and reproducibility.
• Assist with troubleshooting of synthesis, purification, and analytical procedures.
• Track inventory of critical reagents and assist with ordering as needed.
• Support maintenance of assigned lab instruments, perform general lab duties, and contribute to training new team members.
• Present experimental results and progress updates at group meetings.
• Contribute to laboratory protocols, reports, and other documentation supporting process development.
• Collaborate effectively with team members and contribute to cross-functional activities.

Requirements: 

• BS degree in Chemistry, Biochemistry, or related field with minimum 2 years of industry experience, or MS degree with minimum 1 years of industry experience.
• Experience with laboratory-scale protein purification methods such as dialysis, diafiltration, and size-exclusion chromatography; experience with TFF is desirable.
• Working knowledge of analytical methods including colorimetric assays, HPLC, SEC, and SDS-PAGE.
• Hands-on experience with protein conjugation reactions or chemical modification of polysaccharides is desirable.
• Strong attention to detail, organizational skills, and record-keeping abilities.
• Effective communication skills, both verbal and written.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Enthusiasm for learning new skills and applying them to challenges outside of current expertise.
• Commitment to integrity, professionalism, and safety in all aspects of work.

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:
Growth Data Science is a global team of data scientists who work with internal and external stakeholders to improve the effectiveness of Moloco Ads and help advertisers achieve their business goals. As a Senior Data Scientist you will act as a leader within the team, working across a portfolio of top strategic advertisers and taking ownership of high impact product initiatives. This is a critical and highly cross-functional role with diverse responsibilities;

• Advertiser engagement; engaging with advertisers to understand their business objectives, measurement strategies and identifying opportunities for Moloco to drive business value
• Measurement consultation; consulting with advertisers on measurement methodologies, helping them to understand nuances between different measurement solutions (MMP attribution, incrementality, MMM) and supporting the activation of Moloco incrementality solutions
• Insights generation; data collection, analysis and effective communication of learnings and recommendations to multiple levels of stakeholder up to C-Level
• Campaign optimization: partnering with internal and external teams on analysis and testing to identify opportunities to improve Moloco campaign effectiveness
• Product development; collaborating with key stakeholders across Moloco product and engineering teams to help improve our products and services based on market insights and advertiser feedback
• Product activation; collaborating with Moloco business teams to develop activation strategies to unlock product performance and drive adoption across advertiser groups  

Minimum Requirements:

• Education: Bachelor's degree or equivalent practical experience.
• Statistics: must have knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis.
• Programming: experience in Python and SQL is required.
• Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
• Excellent verbal and written communication skills. Ability to distill complex concepts and information into simple recommendations, presenting to stakeholders at various levels of seniority and technical expertise.
• Experienced building partnerships with advertisers and business teams to grow an Ads business using data and analytics.
• Proven ability to own projects end-to-end and operate in ambiguous problem spaces, able to develop creative solutions to complex problems.
• Demonstrated leadership and self-direction.
• Experience in external client facing role
• Experience in ad-tech, or advertising environment 

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 Staff 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:

• This leader will own the multi-year strategy, roadmap, and execution across the ads supply ecosystem:
  • Supply Exchange & Inventory Integrations: Drive Moloco’s OpenRTB integrations with top-tier third-party supply partners and exchanges, expanding Moloco’s access to high-quality, global, multi-format inventory across gaming and non-gaming verticals.
  • Lead Moloco’s end-to-end General Supply strategy, including Exchange integrations, OpenRTB supply diversification, publisher onboarding, and supply ecosystem expansion.
  • Define, evangelize, and deliver a multi-year supply vision that improves supply quality, scalability, integration reliability, and long-term differentiation
• Conducting deep-dive analysis and experiments to influence product 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.

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.

Preferred Qualifications:

• Advanced degree. PhD is highly desirable. 
• Deep expertise in the programmatic supply ecosystem, including ad exchanges, SSPs, OpenRTB protocols, auction mechanics, and cross-platform integration
• Demonstrated ability to drive cross-org alignment, influence senior stakeholders (Directors/VPs), and execute through large engineering teams
• Familiarity with publisher ad servers, targeting logic, and impression delivery workflows
• Deep knowledge of supply-side performance metrics such as fill rate, eCPM, latency, bid density, impression opportunities, and unique users—and how to optimize for them
• Hands-on experience with integrations and partner-facing APIs, including defining requirements for interoperability with DSPs, exchanges, ad networks, DMPs, and other adtech partners

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

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:

Creatives are one of the highest-leverage levers in Moloco Ads: they shape what users see, how they interact, and ultimately how much value advertisers extract from our platform. As formats grow more complex (video, playables, rich HTML) and surfaces diversify across exchanges, SDK, and new inventory types, our creative systems must do more than just serve assets — they must learn, adapt, and guide advertisers toward better outcomes.

This space sits at the intersection of ML/bidding, supply, and UI/UX for advertisers. Strong product decisions here directly influence company toplines, ROAS and advertiser retention. At the same time, weak creative strategy can quietly erode performance, create operational noise, and diminish trust in our optimization systems. We need a Staff Product Data Scientist who can bring structure, rigor, and long-term thinking to this inherently noisy problem space.

The person will be the analytical and product thought partner for the Creatives team, owning the data narrative across ideation, launch, and iteration of creative features and strategies. This is not a “support” role; it is a co-owner of the creative roadmap.

Here’s what you’ll be working on:

This role is critical to ensuring that Moloco’s creative systems become a long-term competitive advantage, not just a collection of formats and features.

• Be recognized as a thought leader in the creative domain, someone whose perspective is actively sought when making high-stakes product calls. For example, influence which creative problems we choose to solve, not just how we measure the outcomes.
• Establish a trusted, repeatable framework for measuring creative impact that the organization rallies around. This will enable PM/ENG to ship creative features faster and with more confidence, backed by well-designed experiments and clear success criteria.
• Reduce ad-hoc fire drills by building durable monitoring, diagnostics, and documentation that make creative performance and adoption more transparent.

Minimum Qualifications

• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience.
• 8+ years of experience (or PhD + 6 YoE) in data science, product analytics, or a closely related quantitative field, including significant time as a product-facing IC.
• Proven track record of partnering with Product and Engineering to shape roadmaps, define success metrics, and drive decisions through data.
• Demonstrated ability to operate with high ownership and autonomy, including scoping ambiguous problems and driving them to closure.
• Comfort working across time zones and with distributed teams, using strong async communication and documentation habits.

Preferred Qualifications

• Graduate or PhD degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience with 10+ years of experience in related fields. 
• Prior experience in ad tech, marketing science, or related domains where creatives, auctions, or optimization systems are central to performance.
• Hands-on experience with creative analytics (e.g., format benchmarking, asset-level performance analysis, interaction or engagement modeling).
• Experience collaborating closely with ML teams to design, evaluate, and iterate on model features and policies.
• Excellent communication skills: ability to synthesize complex analytical findings into simple, actionable narratives for technical and non-technical audiences.

The Impact You’ll Be Contributing to Moloco: 

Moloco Commerce Media (MCM) 

• enables marketplaces to leverage the recent advances in AI for delivering tailored ads to relevant users, driven by first-party data. MCM has established a strong product market with several leading marketplaces working with us to show relevant ads. 
• We’ve established our MCM’s product market fit with strong interest in our product. MCM is an important product that is key to Moloco’s continued success and is in a high growth phase. The science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. As a Senior Applied Scientist focused on ML in MCM, you will have the opportunity to work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing. We highly value prior experience in working in ad-tech. 

What You’ll Do:

• Conduct deep-dive analysis to influence R&D decisions and strategies: analyze large datasets, extract valuable signals out of noise, and design state of the art machine learning models to optimize Moloco’s complex bidding system. 
• Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs. 
• Leveraging the latest advances in deep learning to evaluate and improve our search quality. 
• Build the right metrics for product areas and guide ramps with domain data expertise: improve performance monitoring of a large and complex ads ecosystem by establishing the right metric framework, and understanding cause-and-effect relationships across drivers; guiding ramp decisions through rigorous A/B testing.

Basic Qualifications:

• MS or Ph.D. degree in a quantitative discipline with exposure to advanced modeling and statistical techniques. 
• 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.
• Experience with one or more programming languages including Python, Java or C++ 
• Past experience with ad-tech/ranking/retrieval and/or search quality is preferred.

Preferred: 

• 4+ years of experience (industry or postgraduate) in Data Science, with a heavy focus on experimentation and causal inference in a high-growth tech environment (AdTech  preferred).
• Demonstrated leadership and self-direction. Able to seek out new business questions and effectively scope projects to improve our ML model performance.

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).

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.

The Technology, Data, and Intelligence Team 

Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.

The Staff Data Scientist Opportunity

We are looking for a Staff Product Data Scientist to join our Data & Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta’s Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy. You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.

What you’ll be doing 

• Strategic Product Influence: Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.
• Advanced Analytics and Modeling: Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.
• Deep-Dive Insight Generation: Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.
• Data Ecosystem Partnership: Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.
• Data Preparation and Curation: Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.
• Executive Communication and Influence: Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.

What you’ll bring to the role

• 7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.
• Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.
• Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.
• Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.
• Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.
• Strong proficiency in Python, SQL, and leading ML libraries.
• Excellent communication skills and a proven ability to influence Product and executive partners.

And extra credit if you have experience in any of the following! 

• Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.
• Prior ownership of ML platform/tooling decisions and evaluations.
• Experience enabling self-service analytics or citizen data science capabilities.

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The Pricing Strategy Team
Okta’s Pricing Strategy team partners across Product, Finance, Sales, and Operations to shape how we package, price, and monetize our portfolio globally. We sit at the intersection of strategy and analytics, translating market signals and customer behavior into clear recommendations that drive growth and value capture. The team’s work is highly cross-functional and directly influences executive decision-making and field execution.

The Principal Data Scientist, Pricing Strategy Opportunity
Reporting to the Head of Pricing Strategy, this role will lead the data science and analytics strategy that underpins portfolio-level pricing and packaging decisions. You’ll combine strong quantitative rigor with strategic thinking to design measurement approaches, build and operationalize models, and run test-and-learn pilots that inform high-impact monetization programs. You will partner closely with senior leaders across Product and GTM to turn ambiguous questions into actionable insights, recommendations, and scalable execution plans.

What you’ll be doing

• Strategic Pricing Influence: Partner with Product, GTM, and Finance leadership to inform portfolio-level pricing, packaging, and discount strategy with data-driven recommendations
• Advanced Analytics and Modeling: Build and operationalize models and analytical frameworks to forecast pricing impact, customer behavior, and revenue outcomes across segments and geographies
• Experimentation and Pilots: Design and evaluate pilots and test-and-learn programs for new pricing initiatives, defining success criteria and measurement plans
• Deep-Dive Insight Generation: Analyze large, complex datasets to uncover drivers of purchasing, discounting, retention, and monetization performance
• Metrics and Dashboard Development: Establish the right KPIs and build dashboards to monitor monetization strategy effectiveness and the ROI of pricing initiatives in real time
• Data Foundation Partnership: Work with Okta Data teams to shape and enhance the foundational data required for pricing analytics initiatives
• Cross-Functional Execution Partnership: Translate strategy and insights into operational requirements, working with stakeholders across Sales, Legal, and Systems teams to enable implementation and adoption

What you’ll bring to the role

• 8+ years of experience in data science, analytics, pricing, strategy consulting, or a related quantitative field (B2B SaaS preferred)
• Proven ability to apply statistical rigor and structured analytics to ambiguous business problems and deliver measurable impact
• Experience designing measurement approaches for business initiatives (e.g., pilots, rollouts, test-and-learn), and communicating results with clarity
• Strong proficiency in SQL and Python, with experience working in modern data environments (e.g., Snowflake) and BI tools (e.g., Tableau)
• Ability to synthesize complex data using quantitative approaches, translate findings into clear visualizations, and deliver executive-ready insights and recommendations
• Demonstrated ability to influence cross-functional senior stakeholders and lead through ambiguity with strong collaboration and ownership

And extra credit if you have experience in any of the following!

• Experience in pricing, packaging, monetization, or growth strategy for multi-product SaaS portfolios
• Familiarity with forecasting, optimization, or causal measurement methods in a business context
• Experience partnering with Sales/GTM teams to drive adoption of new programs and measure field impact

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Why You’ll Love This Role

Cribl is hiring a Senior Data Scientist to join and grow our internal data science practice. In this role, you'll use predictive models and advanced analytics to give stakeholders clear foresight into what's likely to happen and what to do next. This role is embedded in our centralized data organization, reporting to our Staff Data Scientist, partnering closely with teams like Finance, GTM, and People. You'll turn rich data sets into forward-looking insights that guide planning, business strategy, and execution, and you'll contribute to the technical standards and culture that make our "Foresight First" vision a reality.

We pride ourselves on fostering a collaborative and innovative culture where team members enjoy working together - whether remotely or over a meal at a foodie hot spot. If you're someone who thrives in an entrepreneurial environment and is eager to contribute to a company poised for legendary success in the tech industry, we want to hear from you!

As An Active Member Of Our Team, You Will…

• Own end-to-end data science initiatives that translate ambiguous business questions into clear analytical and modeling problems, from scoping through implementation.
• Build, operationalize, and continuously improve machine learning models in partnership with Data Engineering to ensure scalable training & evaluation workflows in production.
• Evaluate and interpret the performance of ML models (e.g., classification, recommendation), helping the team reason through trade-offs, limitations, and business implications of model-driven decisions.
• Conduct deep-dive analyses using advanced statistical methods to surface actionable insights to stakeholders and positively influence org-wide decision quality. 
• Apply statistical modeling, experimentation, and AI-assisted analytics to expand how Cribl uses data to answer challenging questions.
• Communicate findings clearly and persuasively to executives and cross-functional stakeholders to influence strategic decision-making. 
• Contribute to technical best practices and team standards, and provide mentorship to junior team members as the practice grows.
• Partner closely with Data Engineering, Analytics, and Governance to define data requirements, improve data quality, and ensure the team can efficiently generate trustworthy insights.
• We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours.

If You’ve Got It - We Want It

• 5+ years of experience in data science or applied statistics with a track record of driving data science projects with meaningful business impact at a software company.
• Strong background in experiment design, causal inference, predictive modeling, and ability to distinguish signal vs noise.
• Advanced SQL and Python skills, with experience working on large, messy, multi-source datasets within a modern data stack such as cloud data warehouses and transformation frameworks.
• Proven ownership of end-to-end data science and ML solutions, from problem framing and data preparation through modeling, validation, deployment to production in partnership with Data Engineering, and ongoing monitoring.
• Ability to work effectively in ambiguous, fast-changing environments, navigating from problem framing through implementation and iteration.
• Excellent communication, including the ability to present complex findings to non-technical audiences and contribute to strategic decisions
• Familiarity with AI-assisted workflows, including leveraging LLMs as tools to accelerate analysis, surface insights, or augment modeling work.

Salary Range ($120,000 - $175,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

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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.

Job Summary: 

The Pricing Data Scientist is a hands-on, high-autonomy individual contributor responsible for owning end-to-end pricing analytics and measurement in close partnership with the Pricing organization. This role focuses on practical, decision-driven work including competitive price validation, pricing test measurement, promotion and discount analysis, elasticity assessment, and executive-ready insights -- translating complex pricing dynamics into clear, credible recommendations that influence senior leaders. The ideal candidate combines strong quantitative skills with pragmatic execution, is comfortable building and applying predictive models while working across SQL, Python, and analytics workflows, and can independently deliver results without heavy guidance. Success in this role: judgment, bias toward action, and the ability to clearly articulate the “so-what” behind the numbers.

Job Expectations:

• Own end-to-end pricing analytics, modeling and measurement in close partnership with the Pricing organization, supporting day-to-day pricing decisions as well as longer-term strategy refinement
• Build, validate, and maintain applied pricing models (e.g., elasticity, incrementality, sensitivity tiers) that balance statistical rigor with real-world constraints and imperfect data
• Design and execute measurement approaches for pricing tests and promotions, including A/B tests and quasi-experimental methods, accounting for seasonality, halo, and cannibalization
• Lead competitive pricing analytics, including validation of external pricing data, imputation logic for incomplete coverage, and ongoing quality monitoring to ensure confidence in insights
• Translate complex analytical outputs into clear, decision-ready insights, articulating implications, tradeoffs, and recommended actions to pricing leadership and senior executives
• Partner closely with BI Analytics and Data Engineering to shape pricing datasets, contribute to data modeling where needed, and ensure analytical outputs are scalable and reusable
• Independently develop analytical workflows using SQL and Python, moving fluidly between data exploration, modeling, and insight generation without reliance on heavy guidance
• Contribute to the development of pricing dashboards and recurring analytical outputs for the Pricing team, prioritizing clarity, usability, and decision relevance over visual polish
• Continuously refine pricing measurement frameworks as the business evolves, balancing speed, accuracy, and practicality in a fast-moving global environment
• Experience deploying, monitoring, or operationalizing pricing or predictive models in a production analytics or ML environment (e.g., Databricks, scheduled pipelines, or decision-support workflows)

Knowledge, Skills and Abilities:

Required

• Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions, or commercial decisions in a retail or eCommerce environment
• Hands-on expertise with SQL and Python, with the ability to independently extract, manipulate, model, and analyze large datasets end-to-end
• Experience designing and interpreting pricing or promotional measurement, including experimentation (A/B testing) and quasi-experimental approaches, with comfort navigating imperfect data and incomplete controls
• Practical experience with pricing concepts such as elasticity, price sensitivity, discounting, promotions, and incrementality, with an emphasis on directional insight over theoretical precision
• Proven ability to translate analytical outputs into clear, actionable insights, articulating implications, risks, and tradeoffs to senior business stakeholders
• Comfort operating with ambiguity and limited guidance, demonstrating sound judgment, prioritization, and bias toward execution in fast-moving environments
• Strong analytical problem-solving skills paired with business intuition, enabling independent ownership of complex measurement problems from framing through delivery
• Ability to collaborate effectively across Analytics, Pricing, Finance, and Engineering, balancing technical rigor with pragmatic business needs 

Preferred

• Experience supporting pricing decisions in a global or multi-market retail or e-commerce environment, including regional pricing variation or localized promotions
• Familiarity with competitive pricing intelligence data, including validation, normalization, and imputation of external price sources
• Experience partnering closely with Pricing, Finance, or Commercial Strategy teams to inform margin, contribution, or profitability-focused decisions
• Hands-on experience building reusable analytical frameworks or standardized measurement templates that scale

  Experience Requirements:

• Typically requires ten (10) years of progressive experience in data science, analytics, or quantitative analysis roles, with a demonstrated track record of applying data-driven insights to pricing, promotions, or commercial decision-making in a retail or e-commerce environment. 
• Candidates should have hands-on experience building and applying analytical or data science models, working directly with large, real-world datasets, and partnering closely with business stakeholders. 
• Prior experience supporting pricing strategy, experimentation, or promotional measurement in fast-paced, ambiguous environments is strongly preferred.

Education Requirements: 

Degree in Engineering, Math, Statistics, Finance, or Computer Science required. Advanced degrees are welcome but not required.

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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. 

Make your impact within a rapidly growing Fintech Company

We are looking for a talented, enthusiastic and dedicated person to join BILL’s Fraud Risk Strategy team. The incumbent will be supporting key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, risk strategies, and developing predictive algorithms preferably in the risk domain.

We’d love to chat if you have:

• 0 - 2 years of experience in end to end fraud risk control strategy experience within relevant industry experience in eCommerce, or online payments, leveraging data science/analytics to solve complex business problems. 
• Achieved business goals through design, creation, and execution of control strategies through direct work (complex analytical rule development, maintenance, etc) and in collaboration with Product Managers, Engineers, and Business Stakeholders. 
• Developed and maintained risk strategy frameworks for a domain to keep model strategy up to date with high performance with the goal of delivering on KPIs. Built and deployed data driven and automated monitoring rules to detect and quickly respond to evolving risk trends. Partnered with product/engineering on product/customer touchpoints for risk signal capture and treatments from strategies. 
• Utilized advanced analytics techniques to significantly contribute to the refinement of end to end control strategies, including experience in building complex SQL/Python scripts with minimal guidance to solve ambiguous problems. Expertise with interpreting results and using data findings to influence decision making. 
• Developed flexible performance dashboards and monitoring that drill to the right level of granularity to fit the audience, business needs; covering the breadth of control strategy . Hands on experience wrangling complex data in tools (ie. Tableau) with the focus to perform monitoring, diagnostic analytics, and share actionable stories with data.
• Applied advanced knowledge of data, metrics, profiles/typologies and key indicators in the financial fraud risk domain. Demonstrated ability to find and recommend additional enhancements within data features, data enrichment, score recalibration for existing strategies and processes. Identify and execute new model/rules/product opportunities in order to optimize processes aligning with the business goals. 
• Partnering and collaborating with cross functional teams including modeling, product/engineering, operations to effectively design strategies across the lifecycle at multiple touchpoints. Establishing business requirements, shared KPIs, guiding execution, and performing validation/maintenance. Experience influencing cross functional team approaches. Mentorship and support of junior team members to achieve goals.
• Experience applying AI to accelerate data science work by designing prompts, rigorously evaluating outputs, and integrating LLMs through APIs into notebooks and automated pipelines
• Bonus: Experience in experimental design, fraud typologies that involve onboarding fraud/abuse, and data/control governance, including proposal development, user acceptance definition, pre/post implementation validation, and approval workflows to ensure high quality deployments. 

Company Overview

ID.me is a leading digital identity platform with more than 160 million registered members, trusted by fourteen federal agencies, agencies across 30 states, and over 600 enterprise brands. While widely recognized for powering secure identity verification for federal and state governments (NIST 800-63-3 IAL2/AAL2 compliant and Kantara-approved), ID.me Communities is the company’s high-growth commercial offering focused on customer acquisition and revenue expansion.

ID.me Communities enables retailers and ecommerce brands to reach high-value consumer groups — including military members, veterans, students, teachers, nurses, and first responders. By embedding secure identity and affiliation verification directly into the ecommerce checkout experience or loyalty platform, brands can confidently offer exclusive discounts while preventing fraud, abuse, and margin leakage.

Beyond verification, brands gain access to millions of pre-verified users within the ID.me network who actively seek companies that support their communities. This combination of verification and distribution drives measurable results: new customer acquisition, higher conversion rates, increased average order value, and stronger lifetime value.

In 2025, ID.me raised $340 million in a Series E round, valuing the company at over $2 billion — reinforcing its position as a trusted leader in digital identity and community-driven commerce.

Role Responsibilities

• Own and execute a territory-based sales strategy designed to meet or exceed bookings targets, prioritizing high-ACV opportunities where ID.me has a clear right to win.
• Spend time in the field with prospects and customers, building executive-level relationships, strengthening trust, and accelerating deal progression through in-person engagement.
• Proactively build and manage a qualified pipeline of enterprise retailers and ecommerce brands, leveraging persona-based messaging and partnering with Business Development to drive consistent coverage and measurable pipeline growth.
• Lead consultative, value-based discovery to uncover core business challenges (e.g., customer acquisition, conversion lift, fraud prevention, margin protection) and quantify the financial impact ID.me Communities can deliver.
• Clearly articulate ID.me’s commercial value proposition — verification plus distribution — through compelling presentations, demos, and proposals that translate technical capabilities into revenue growth and ROI.
• Develop strong product and industry acumen to confidently navigate technical conversations, address competitive dynamics, and manage complex procurement processes.
• Build internal alignment and political capital to effectively progress opportunities, identify risks early, and proactively drive resolution.
• Partner cross-functionally with Marketing, Solutions Consulting, and Customer Success to ensure seamless handoff, long-term value realization, expansion opportunities, and referrals.
• Maintain deep awareness of industry trends, competitive positioning, and evolving community-based marketing strategies to continuously refine territory execution and maximize impact.

Qualifications

• At least 5 years in a quota-carrying, “hunter” sales role
• Year-over-year track record of achieving quota and being recognized as a top performer
• Knowledge of e-commerce, MarTech, and performance marketing personas and budgets
• Experience working with customers in apparel, consumer electronics, home goods, and/or sports and outdoors segments 
• Closed opportunities with ACVs ranging from $100k to $1m on 6 to 12 month sales cycles
• Trained in leading sales methodologies (i.e. Command of the Sale, Message)
• Experience selling technology into commercial markets, specifically top internet retailers
• Demonstrated success in interfacing with customers and building trust
• Experience working for a team in a startup at a growth stage is highly desired
• Experience with Salesforce 

Skills/Abilities

• Entrepreneurial personality, capable of effectively solving problems with minimal guidance
• Results-driven, highly organized and detail-oriented with the ability to multitask
• Excellent written and verbal communications skills and ability to communicate to a broad range of audience types at all levels of the organization
• Ability to build relationships with customers
• Ability to manage the sales cycle from start to finish
• Ability to work independently and as part of a team
• Superb planning and time management skills, ability to prioritize tasks and ability to meet deadlines with little supervision
• Willingness to learn and adapt
• Competitive Compensation

Vision: To be the world’s leading digital identity network empowering people to control their own information and to prove their credentials across all channels: online, call center, and in-person.

Mission: To make the world a more trusted place by delivering the highest level of security with the least amount of friction at the lowest possible cost.

People: We have an audacious mission. We aim to fix the identity layer of the internet. Billions of people will live better lives with more trust and convenience thanks to ID.me. We are like Special Forces. We take on the most difficult challenges with amazing teammates.

Our Core Values: *Don’t be a jerk. *Always compete. *Ask questions like a 5-year old. *Inspire people with your passion. *Make something better every day. *Treat each customer like your favorite family member. *Own your mistakes so you can learn from them. *Details are everything. *Act like a scientist, not a talking head. *Be truthful (even when it’s hard). *Reflect ID.me’s values in your actions. *If the rule prevents the right outcome, then break the rule.

ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.

Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.

ID.me participates in E-Verify.

Account Manager, Communities

Company Overview ID.me is a high-growth enterprise software company that simplifies how people prove and share their identity online. The company empowers people to control their data through a portable and trusted login, which means they don’t need to create a new password when visiting sites that have the ID.me button. ID.me’s digital identity network has over 117 million registered members, and is used by fourteen federal agencies, agencies in 30 states and over 600 corporations for secure identity proofing and verification.

Role Overview The Account Manager (AM) is a senior-level, quota-carrying position responsible for the health, retention, and aggressive expansion of our most critical commercial and eRetailing accounts. You are the "CEO" of your assigned book of business within the Communities segment (e.g., Military, First Responders, Students, Teachers, Nurses, etc.). Your mission is twofold: ensure 100% net retention through impeccable renewal management and drive year-over-year (YoY) growth by identifying and closing expansion opportunities within existing customer portfolios.

Key Responsibilities

• Revenue Ownership & Growth
• Quota Attainment: Carry and exceed a formal quota composed of both Renewal Revenue (GRR) and Expansion (NRR) within your assigned commercial accounts.
• Land & Expand Strategy: Identify "white space" within current customers to expand Community Verification products, and drive growth via UX changes. 
• Upsell Execution: Lead the end-to-end sales cycle for expansion opportunities, from initial discovery to contract amendment and closing.
• Renewal & Retention Excellence
• Lifecycle Management: Proactively manage the renewal process starting 180 days out, ensuring zero "dark" periods or budget lapses.
• Churn Mitigation: Identify "at-risk" accounts early by monitoring usage health, program performance, and organizational changes (e.g., e-commerce leadership turnover or marketing budget shifts).
• Contract Negotiation: Navigate complex commercial procurement hurdles and vendor management processes to secure multi-year renewals and "sticky" master service agreements.
• Strategic Account Governance
• Executive Alignment: Maintain and deepen relationships with key decision-makers in the procurement process , specifically targeting e-commerce, MarTech, and performance marketing personas to ensure our solution remains a top-tier budget priority.
• Executive Business Reviews (EBRs): Lead high-impact EBRs that translate technical performance data into customer acquisition ROI, conversion rate optimization, and overall business objectives.
• Voice of the Customer: Act as a strategic liaison between commercial clients and our Product team, providing feedback to product development teams to influence the roadmap based on retail-specific needs.

Qualifications

• Experience & Expertise
• The Commercial Tech Veteran: 5+ years of experience in a quota-carrying account management, customer success, or "hunter" sales role.
• Industry Knowledge: Deep knowledge of e-commerce, MarTech, and performance marketing personas and budgets , with a preference for experience working with customers in apparel, consumer electronics, home goods, and/or sports and outdoors segments.
• Quota Performance: A year-over-year track record of achieving quota, hitting retention targets, and being recognized as a top performer.
• Deal Complexity: Experience managing portfolios and closing opportunities with ACVs ranging from $100k to $1m on 6 to 12 month sales cycles.
• Skills & Competencies
• Commercial Savvy: Ability to navigate complex retail organizations and holding companies, maintaining account stability during executive transitions.
• Analytical Growth Mindset: Skilled at looking at a massive internet retailer and mapping out a multi-year growth plan to capture every available brand and subsidiary.
• Collaborative Leadership: Experience working closely with internal teams, including Marketing, Solutions Consulting, and Customer Success, to ensure customer satisfaction and success.
• Startup Agility: Comfortable working for a team in a startup at a growth stage ; you possess an entrepreneurial personality capable of effectively solving problems with minimal guidance.
• Consultative Problem Solving: Superb planning and time management skills with the ability to understand customer pains and provide effective solutions to meet their business objectives.

Key Performance Indicators (KPIs)

• Gross Retention Rate (GRR): Ensuring existing contracts renew on time.
• Net Revenue Retention (NRR): Growth of the account via upsells and cross-sells.
• Pipeline Velocity: Speed at which expansion opportunities move through the commercial procurement funnel.

Our Core Values

• Don’t be a jerk.
• Always compete.
• Ask questions like a 5-year old.
• Inspire people with your passion.
• Make something better every day.
• Treat each customer like your favorite family member.
• Own your mistakes so you can learn from them.
• Details are everything.
• Act like a scientist, not a talking head.
• Be truthful (even when it’s hard).
• Reflect ID.me’s values in your actions.
• If the rule prevents the right outcome, then break the rule.

ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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

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

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)

The Data Scientist I supports statistical analyses of large datasets, the development and deployment of Machine Learning (ML), multimodal Deep Learning (DL), and Artificial Intelligence (AI) solutions that improve the relevance and value of ads across our Ad Exchange, Contextual Platform, and Attention Measurement Platform. This role focuses on applying strong analytical foundations, building and evaluating ML and DL models, leveraging general AI concepts and techniques, while also partnering closely with the Engineering, Product, and Data Science team to improve ad-serving performance, operational decision-making and lead development of new AI products that best serve the business. 

The ideal candidate is curious, data-driven, and eager to develop a strong understanding of the advertising domain and the systems that power large-scale decision-making. You will work with large datasets, contribute to production AI systems, and gain hands-on experience across the ML lifecycle — from exploration to monitoring.

Note: GumGum fosters a flexible work environment, offering GumGummers the ability to work either in-office or remotely/from home. For this position, in-person/office collaboration is required 2 days per week, supporting a balanced approach to flexibility and team engagement.

What You'll Achieve

• Support the translation of business and product requirements into data-driven analyses and ML solutions
• Partner with Engineering team members and senior Data Scientists to develop, test, and deploy ML and DL models
• Conduct exploratory data analysis to inform feature development and modeling approaches
• Build, run, and maintain regular pipelines to analyze production data, generate KPIs, and prepare automatic retraining of existing models
• Query, clean, and structure large datasets using SQL, Spark, and cloud data platforms
• Train, evaluate, and iterate on traditional ML models and multimodal deep learning models under guidance from senior team members
• Design and maintain Looker dashboards and other Business Intelligence (BI) tools to track Key Performance Indicators (KPI) for key stakeholders
• Develop and deploy agentic pipelines and other LLM-powered applications, including prompt engineering, tool use, and evaluation of model outputs
• Contribute to existing Machine Learning Engineering (MLE) workflows for model training, deployment, and monitoring
• Document analyses, models, and broader learning to support knowledge sharing across the team and non-technical audiences
• Continuously expand on statistical and AI foundations while learning new AI/ML techniques, tools, and advertising-domain concepts

Skills You'll Bring

• Bachelor’s degree in a quantitative field (e.g., Statistics, CS, Math, Physics, or Economics).
• 1–2+ years in a data-driven role such as Analytics, Data Science, or ML Engineering.
• Proficiency in Python and experience applying ML/DL methods using libraries like scikit-learn, PyTorch, HuggingFace, or OpenCV.
• Dependable SQL skills and experience designing pipelines or DAGs using tools like Airflow or Astronomer.
• Exposure to cloud environments (AWS/GCP, Databricks, Snowflake) and large-scale query tools like Spark or Snowpark.
• Strong grasp of A/B testing, experimental design, and statistical concepts (regression, classification, optimization).
• Experience with LLM prompting and interest in frameworks like RAG, LangChain, or agentic systems.
• Ability to design dashboards for diverse audiences and collaborate effectively with Product and Engineering teams.

What We Offer

At GumGum, competitive base pay is a part of a total rewards package, which also includes benefits, an emphasis on recognition, development, and wellness. The reasonable estimated base pay range for this role is from $128,000-$130,000 annually. The actual amount may be higher or lower. Individual compensation will vary based on factors including, but not limited to, relevant qualifications, work location, and labor market conditions.

The total rewards package offered also includes an employer-matched 401(k) retirement plan, and, depending on the role, participation in a bonus, commission, or stock incentive program. Your recruiter can share more specifics during the hiring process. Learn more about our U.S. benefits & perks package at gumgum.com/benefits.

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

Alamar Biosciences is seeking a Senior Scientist, Technology Development to innovate technologies and products based on our proprietary NULISA™ platform, which enables highly sensitive, quantitative, and multiplexed biomarker measurements using qPCR and/or NGS readouts. The ideal candidate will have a strong background in assay development, immunoassays, molecular biology, biochemistry, and data analysis, along with a passion for translating novel technologies into robust products. This role will involve close collaboration with product development, bioinformatics, manufacturing, and software teams. The fast-paced nature of this position requires excellent attention to detail, strong communication skills, the ability to multitask and work independently, and flexibility with evolving priorities and schedules. This is a full-time, onsite role based in Fremont.

Duties and Responsibilities

• Lead development of novel multiplex immunoassays utilizing Alamar’s proprietary NULISA technology
• Design, execute, and troubleshoot experiments to optimize assay performance
• Perform rigorous data analysis and interpretation to guide technology and assay development decisions
• Identify key variables impacting assay sensitivity, specificity, robustness, and reproducibility, and drive systematic optimization
• Participate and present data in technical discussions and project meetings.
• Collaborate closely with bioinformatics, product development, manufacturing, engineering, and software teams to enable end-to-end workflow integration
• Support assay transfer, automation, and system-level integration onto Alamar’s proprietary instrument platform
• Mentor and provide technical guidance to junior scientists and contribute to team-level scientific excellence
• Contribute to building and maintaining a strong, collaborative team culture

Qualifications

• PhD with 5+ years of experience in Molecular Biology, Biochemistry or a related field
• Demonstrated experience in single-plex and multiplex immunoassay development
• Hands-on experience with reagent optimization for immunoassays and qPCR/NGS
• Experience with qPCR /NGS assay optimization
• Ability to maintain cooperative working relationships with a broad range of stakeholders, including team members and cross functional teams
• Strong organizational skills with the ability to set priorities and balance laboratory and cross-functional needs
• Highly detail-oriented with a strong focus on quality
• Consistent, positive, and can-do attitude

Preferred Qualifications

• Preferably PhD with 5+ years of industry experience, MS with 8+ years of industry experience or BS with 10+ years of industry experience.
• Experience with immunoassay technologies such as NULISA, SIMOA, PEA, or similar technologies
• Experience with optimizing multi-color qPCR or NGS assays
• Experience with calibration curve–based sample quantification
• Prior experience leading or managing direct reports, including mentoring junior scientists or associates
• Familiarity with data and record management platforms such as Benchling or SciNote
• Experience with reagent and inventory management
• Excellent written and verbal communication skills, with the ability to present technical information to diverse audiences

The base salary range for this full-time position is $140,000 - $165,000 + 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. 

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.