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

Job Summary:

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

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

Responsibilities:

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

Qualifications:

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

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

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

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

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

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

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

What You'll Do:

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

Required Qualifications:

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

Preferred Qualifications:

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

Why CHAOS?

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

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

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

#LI-onsite

Who Are We?

The Motley Fool is a purpose-driven financial services company on a mission to make the world smarter, happier, and richer. For 30 years, we’ve been helping people make better investment decisions through transparency, education, and a healthy dose of Foolish fun. We’re a fast-moving, collaborative team that values high-quality work, curiosity, and initiative. We care deeply about what we do, and we’re driven by the impact our work has on real people’s financial futures.

What Does This Team Do?

Our Business Intelligence team acts like internal consultants. We help teams across the company do their jobs better by identifying opportunities and informing data-driven decisions. We don't just "pull data"—we uncover the stories buried in the numbers to guide our marketing, product, and member experience strategies.

What Will You Do in This Role?

The Business Intelligence/Data Analyst plays a critical role in driving strategic decision-making. You will collaborate closely with senior BI team members and stakeholders across various departments to analyze business performance and develop growth strategies.

Okay, but what will you actually do in this role?

• Analyze datasets containing millions of records to identify trends, patterns, and exploratory insights.
• Apply statistical methods and machine learning algorithms to solve complex business problems and forecast outcomes.
• Partner with business teams to understand their strategy and goals, then translate them into actionable data initiatives.
• Develop and maintain dashboards in Tableau that provide clear, jargon-free insights.
• Work with data engineering and tech colleagues to automate and operationalize your models.
• Provide data-informed recommendations with a quantifiable value to improve product features, engagement, and member experience.
• Monitor key metrics and performance indicators to develop strategies for business impact.

You Might Be a Good Fit If You:

• Are curious and love to learn, often taking things apart to understand how they work.
• Thrive when learning something new every day and staying curious enough to uncover the stories buried in data.
• Collaborate and communicate effectively with a consultative mindset and approach to working with stakeholders.
• Have a proven ability to craft concise, actionable analyses and reports that tell a story about a business area or marketing campaign.
• Consider yourself a scientist who can delve deep into large data sets to build clear, compelling analyses that unlock high-impact breakthroughs.

Required Experience and Skills:

• 5+ years of experience in a business intelligence, data analysis, data-informed decision-making, or strategy role.
• Proven ability to extract, manipulate, and transform large datasets via Python and/or SQL.
• Proficiency in data visualization techniques and tools including Tableau.
• Bachelor's degree, preferably in data science, finance, statistics, economics, or a related field.
• Excellent communication and presentation skills, with the ability to translate complex data into clear insights for a non-technical audience.
• Strong analytical and problem-solving skills with a proactive, consultative approach.
• Statistical experiment design and testing including inferential statistics.
• Ability to work independently and manage multiple projects simultaneously.
• Experience or familiarity with financial services, digital publishing, or subscription products (preferred).
• Proficiency with ML/AI techniques including predictive models to uncover insights and deploy optimizations (plus).
• Experience working with web analytics platforms like Google Analytics (plus).
• Experience with Jira/project management tools and Git-based workflows (preferred).

Local or 100% Remote

About Point

✨ Real Impact, Real People: Our mission at Point is to make homeownership more valuable and accessible. Your work directly helps homeowners access their wealth, achieve financial flexibility, and realize life changing goals.

✨ Funding: With over $175M raised from top investors like Andreessen Horowitz, WestCap, Greylock, and Prudential, we’re scaling fast! You have the opportunity to join us at a pivotal stage.

✨ Game-changing Product: We're building a category defining company in home equity. We’ve earned a 4.7 Trustpilot rating and an A+ from the BBB, a testament to the value we provide to our 20,000+ customers.

✨ Great Place to Work: Our employees love working here! We are a Certified Great Place to Work and a Fortune Best Workplaces in the Bay Area.

✨ Remote First Culture, Genuine Connection: Work from anywhere in the U.S., while staying closely connected through virtual collaboration, team gatherings, and a people-first culture.

About the role

We are seeking a Senior Data Scientist to join our growing data team. You will be responsible for building and deploying machine learning models to support marketing, customer engagement, and core business use cases. You will also monitor model performance, identify and mitigate model deterioration, forecast business outcomes, and maintain high-quality datasets. The role is not limited to working on machine learning and model development and will also include, but not limited to advanced analytics projects such as root-cause analysis, identifying trends in data and building time-series projections.

This is an excellent opportunity for someone advanced in their data science career to enhance their skills in applied machine learning while working closely with other senior data scientists, engineers, and cross-functional stakeholders.

Your responsibilities

• Model Development: Design, train, and deploy machine learning models to solve marketing, forecasting, and operational problems.
• Model Monitoring: Track model performance, detect drift or deterioration, and assist in implementing corrective measures.
• Forecasting & Insights: Develop time-series forecasts and performance dashboards that inform marketing strategies and broader business decisions.
• Data Management: Clean, transform, and maintain structured datasets to ensure reliable inputs for analytics and modeling.
• Collaboration: Partner with marketing, product, and business teams to translate requirements into data-driven solutions.
• Documentation & Reporting: Produce clear documentation of models, data pipelines, and processes; communicate insights to technical and non-technical stakeholders.

About you

• 4–5 years of hands-on experience in data science, applied statistics, or machine learning (internships and projects count).
• Familiarity and experience working with AI toolkits such as Claude or Gemini or similar.
• Strong foundation in Python (Pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus).
• Familiarity with SQL for data extraction and transformation.
• Experience with basic machine learning workflows: preprocessing, feature engineering, model training, validation, and monitoring.
• Understanding of data visualization tools (e.g., Tableau, Power BI, or Python libraries like Matplotlib/Seaborn).
• Curiosity and eagerness to learn — especially around model monitoring, forecasting, and marketing analytics.
• Excellent problem-solving skills and ability to communicate insights clearly.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field. A Master’s degree is a plus.
• Advanced knowledge of AI tools
• Expertise on BI dashboarding tools such as Sigma or Tableau preferred
• Strong Excel skills

Our benefits 

• Generous health benefits: We provide comprehensive medical, dental, and vision plans with options for flexible spending accounts (FSA) and health savings accounts (HSA).
• Unlimited paid time off: Recharge with unlimited paid time off and 10 company holidays. 
• Flexible remote and onsite work: Our teams work from many different locations and time zones. We support fully remote work and also have an amazing in-person environment in our downtown Palo Alto, CA HQ. 
• Fully paid parental leave: Point will supplement state Paid Family Leave (PFL) so employees receive 100% of their regular base pay, plus two additional weeks of fully paid leave after state PFL ends. In states without PFL, Point offers up to 8 weeks of paid parental leave. In addition, employees also receive 4 weeks of fully paid transition time, during which you may work 2–3 days per week while receiving full base pay.
• Equity: We offer meaningful equity because we believe in sharing the value you help create. Your contributions directly impact our growth, and your equity gives you a stake in our future success. 
• Financial wellness:  We provide 401K retirement plans for employees as well as guaranteed life insurance and short- and long-term disability coverage. 
• Extra work/life benefits: We provide monthly stipends for internet, mobile plans, wellness perks, a one-time home office reimbursement, and company provided equipment including a MacBook and monitor.

Compensation at Point will be determined by skills, experience, and geographic location. Point has identified the expected annual base salary for this role at this level based on the market by tiers (Region | Location | Market Salary):

• Tier 1 | San Francisco Bay Area, New York, and Seattle | $179,550 - $198,450
• Tier 2 | Chicago, Austin, Denver, Boston, Washington DC, San Diego, Portland, Sacramento, Philadelphia, Los Angeles & Santa Barbara | $164,350 - $181,65
• Tier 3 | All other US metro areas | $156,750 - $173,250

This does not include any other potential components of the compensation package, including equity, benefits, and perks outlined above. At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job-related factors, to determine final compensation.

Location Requirement: This is a remote position. However, candidates must reside in one of Point’s states of operation: AL, AZ, AR, CA, CO, CT, DC, FL, GA, IL, KS, KY, MA, MD, MI, MN, MO, NH, NV, NJ, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI.

Point is proud to be an equal-opportunity employer. We provide employment opportunities regardless of age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. Each individual at Point brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides better services to customers, and helps us all grow and learn. 

Code and Theory is seeking a senior cloud engineer who wants to own the full technical lifecycle of enterprise client deployments — from assessing a client's existing infrastructure and designing the integration architecture, to provisioning the environment and keeping it running in production. This is a hands-on role that also requires real client engagement: you will sit in technical working sessions, work directly with client DevOps teams, and be the person who translates security and compliance requirements into concrete infrastructure decisions.

You will be working on a platform that connects our AI product to enterprise marketing environments across different cloud providers. Each client brings its own infrastructure, data stack, and security perimeter. Your job is to figure out how to connect to it, build the integration reliably, and hand it off in a state that can be operated and maintained over time.

WHAT YOU'LL DO

• Assess each client's cloud infrastructure, data stack, and security perimeter before any build starts — translate findings into a concrete integration plan
• Design and provision client environments using Terraform — networking, IAM, container orchestration, managed storage, and secrets management across GCP, AWS, or Azure depending on the client
• Deploy and operate LLM inference pods in client cloud environments — managing API integration, rate limits, latency, and failure handling without needing a data scientist in the room
• Build and maintain integration layers that connect client data sources to the AI layer — you own the plumbing that makes inference useful; the data science team owns what runs on top of it
• Deploy and maintain containerized workloads via Helm — orchestration, ETL workers, and AI inference pods running inside the client's cloud perimeter
• Own data pipeline deployments end to end — scheduling, pagination, retry logic, and rate-limit management against client API gateways
• Manage distributed ETL jobs at scale — JSON flattening, schema enforcement, and structured output delivery
• Enforce data residency requirements — raw data stays inside the client's environment, only structured output leaves to our shared infrastructure
• Serve as the primary technical contact for each client's DevOps and infrastructure teams throughout the engagement
• Lead technical working sessions with client teams — validate configurations, confirm IAM and credential models, review cluster specs before deployment
• Triage and resolve pipeline and infrastructure failures across multiple client environments simultaneously
• Implement container security standards — non-root execution, read-only filesystems, startup integrity hashes, tamper protection
• Mentor junior and mid-level engineers and contribute implementation patterns to the shared playbook after every client engagement

WHAT YOU'LL NEED

• 6+ years of cloud engineering experience — production experience on at least two of GCP, AWS, or Azure, and willing to operate across all three depending on client environment
• Deep Terraform experience — you have provisioned multi-environment, multi-tenant production infrastructure from scratch, not just applied existing configurations
• Comfortable with Kubernetes and Helm in production — deploying, debugging, scaling, and securing containerized workloads, not just running them
• Have run data pipelines in production — you know what breaks, how to recover, and how to build retry and backoff logic that actually holds up
• Hands-on experience with distributed processing at scale — not just theoretical knowledge
• Enterprise API integration experience — OAuth 2.0, API key management, rate limiting, API gateways — end to end
• Solid security fundamentals — container hardening, credential management, and data residency enforcement in environments where it actually matters
• Have worked directly with client or customer engineering teams — comfortable leading technical conversations with enterprise DevOps and infrastructure teams, not just supporting them
• You write things down — runbooks, integration notes, playbook contributions. The next engineer should be able to operate what you built
• Hands-on experience integrating LLM APIs (Anthropic, OpenAI, or equivalent) into production pipelines — not as an end user, but wiring inference into systems that run at scale across real client environments

NICE TO HAVE

• Experience with:
  • LLM inference infrastructure
  • Marketing technology stacks (DAM, CDP, CRM)
  • Multi-tenant client environments
• A cloud certification (AWS Solutions Architect, GCP Professional Cloud Architect, or Azure equivalent)
• Agency, consultancy, or product company background serving multiple enterprise clients simultaneously

ABOUT US

Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.

Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.

The target range of base compensation for this role is $110,000 - $150,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.

Location: This role is based onsite at our headquarters in College Park, MD.
Travel: 10% domestic and international
Job ID: 1490 

The Role: 

We are looking for a Staff Scientist – Quantum Applications to lead the technical development in utilizing IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Staff Scientist – Quantum Applications, you will be part of the new Quantum Applications team based in College Park, Maryland , you will be a key link to the University of Maryland ecosystem, serving as a bridge to collaborate with world-class faculty and researchers both at UMD and at institutions globally.

You will operate at the intersection of two frontiers: pushing the boundaries of cutting-edge academic research on latest quantum hardwares and developing the next generation of quantum algorithms poised to solve real-world problems better than state-of-the-art classical methods. You will play a key role in developing core IP, computational resource models, long-term roadmaps and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!

Responsibilities:

• Practical Algorithm Innovation: Lead the hands-on development of Fault-Tolerant Application-Scale Quantum (FASQ) algorithms designed to scale for real-world impact. You will emphasize "hardware-aware" FASQ, ensuring research is rooted in the constraints of practical early fault-tolerant systems to drive scientific and commercial breakthroughs.
• Full-Stack & Hardware-Centric Optimization: Work directly with quantum compiler, cloud, and hardware engineering teams to build highly optimized hybrid workflows specifically tuned for IonQ’s trapped-ion architecture. Your goal is to make the best use of available quantum hardware for proof-of-principle demonstrations and experiments, moving beyond abstract error correction theory.
• Rigorous Algorithm Analysis: Conduct deep technical evaluations comparing quantum algorithms of interest against relevant state-of-the-art classical algorithms. You will identify the specific performance characteristics and scaling behaviors that define the boundary between classical and quantum capabilities.
• Academic Strategy & Advocacy: Act as a primary advocate for IonQ’s academic presence by actively engaging with the UMD faculties. You will guide, propose, and initiate impactful academic research projects that carry significant industrial weight and commercial potential.
• IP & External Influence: Build a robust portfolio of foundational IP and high-impact-factor, peer-reviewed publications. You will represent IonQ’s technical vision at major conferences and in high-level discussions with external stakeholders, emphasizing our path to practical, application-scale quantum advantage.

• Hardware Awareness: While we don't expect you to build the hardware, a deep familiarity with the operation and physical principles of trapped-ion quantum computers is a significant advantage.
• Hardware-Centric Optimization: Experience working directly with hardware engineering teams to tune algorithms for specific architecture constraints.
• Error Mitigation: Proficiency in hardware-level error mitigation and advanced compilation strategies.

The approximate base salary range for this position is $167,808 - $219,704. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

***This job requires active TS/SCI clearance with a CI Polygraph.  Please apply only if you have an active TS/SCI clearance with a CI Polygraph. ***

North Point Technology is hiring a hands-on HPC Linux Software Engineer to support mission-critical R&D efforts in a high performance computing environment. This role is ideal for an engineer who can work directly with users, solve complex modeling and simulation challenges, and help strengthen HPC software workflows in a fast-paced on-site lab setting.

Responsibilities:

Support HPC users and technical staff in a research and development environment, helping solve modeling and simulation workflow issues across heterogeneous, multi-platform systems. Develop, maintain, and troubleshoot Linux-based software used in HPC environments, including existing code bases and distributed applications. Partner closely with the Technical User Support team, team lead, Chief Scientist, customers, and site staff to resolve technical problems and improve user effectiveness. Contribute across the software lifecycle including requirements, design, coding, documentation, testing, and maintenance. Provide technical guidance to junior engineers and scientists, lead code reviews, and create training materials, tutorials, and onboarding content for users and internal staff.

Required Qualifications:

• TS/SCI Clearance with CI Polygraph
• Bachelor’s degree in a STEM-related discipline
• 10+ years of professional software engineering experience
• Around 5 years of experience developing and using modeling and simulation software in heterogeneous, multi-platform environments
• Experience supporting HPC user workflows for modeling and simulation problems, including GUI-based workflows
• Knowledge of High Performance Computing environments and related technologies
• Proficiency in Fortran, C, and/or C++
• Proficiency with Bash and Korn shell scripting
• Strong Linux experience, including the ability to troubleshoot end-user system issues independently in a lab environment
• Experience with coding standards, unit testing, and configuration management
• Strong ability to analyze, debug, and maintain existing code bases
• Experience with requirements, use cases, design, coding, documentation, and testing of scalable distributed applications in Linux environments
• Experience mentoring junior engineers or scientists, providing technical guidance, and leading code reviews
• Experience designing and delivering training workshops, tutorials, or onboarding materials for HPC users and internal staff
• Strong communication skills and the ability to work effectively across technical teams and customer stakeholders
• Excellent attention to detail, strong problem-solving ability, and solid organizational skills

Preferred Qualifications:

• Experience working on-site with research and development customers in mission-focused environments
• Experience supporting technical user communities in HPC or scientific computing settings
  Background balancing software engineering, end-user support, and technical training responsibilities in the same role

The Community You Will Join:

MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI through data-informed decision-making. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, Engineering, and Product to provide actionable recommendations and tools based on effective, timely, and granular measurements.

The Difference You Will Make:

We are seeking experienced Data Scientists to serve as technical anchors across our team’s two pillars. The ideal candidate combines depth in causal inference, experimentation, and customer relationship modeling with the ability to drive rigor in solutions and data-informed decision making across the team and our cross-functional partners.

• Actionable: Deliver insights that drive confident business decisions.
• Impactful: Prioritize projects based on their expected value to Airbnb.
• Balanced: Adapt methods to business questions and data realities, acknowledging limitations.
• Rigorous: Maintain methodological integrity and quantify the sensitivity of findings.
• Innovative: Invest in advancing measurement science and developing new methods.
• Influential: Share learnings across Airbnb and the broader data science community.

A Typical Day:

• Causal Inference: Apply and develop causal inference methods to estimate the effectiveness of Airbnb’s marketing initiatives.
• Data Analysis: Conduct data pulls, analyze trends, and create new features to support measurement efforts.
• Experimentation: Design and analyze experiments to evaluate the impact of marketing campaigns.
• Collaboration: Work effectively with cross-functional teams, providing insights that optimize marketing strategies.
• Thought Leadership: Lead the creation of internal white papers and contribute to Airbnb tech blog posts.

Your Expertise:

• PhD in Economics, Statistics, Marketing, or a related field, or a Masters Degree in a similar field with 2+ years of experience.
• Deep knowledge of causal inference methodologies and experimentation techniques.
• Proficiency in statistical programming (Python or R), database usage (SQL), and agentic coding.
• Ability to communicate complex concepts clearly to stakeholders at varying technical levels.
• Proven track record of solving business problems through data science methods.

Preferred Expertise:

• PhD in Economics, Statistics, Marketing, or a related field.
• Passion for marketing and consumer science, with a desire to stay informed about the latest academic research.
• Familiarity with Bayesian modeling and its applications in marketing.
• Experience with causal ML modeling.
• Experience in developing end-to-end models for data-driven decision-making.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Senior Data Scientist -  Experimentation & Measurement

San Mateo, CA

Overview:

As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices—bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation.

What You’ll Be Doing:

• Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance.
   
• Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles.
   
• Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
   
• Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization.
   
• Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
   
• Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
   
• Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
   
• Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work.

Basic Requirements:
 

• Bachelor’s degree or equivalent.
   

• 5+ years of experience in a data science experimentation-focused role (3+ with PhD).
   

• Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
   

• Proficiency in SQL for data extraction and transformation.
   

• Proficiency in Python, including statistical and data science libraries.
   

• Broad and applied knowledge of statistical techniques and machine learning modeling methods.
   

• Proven ability to influence product and business decisions through clear, actionable insights.
   

• Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
  

  Preferred Requirements:

• Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
   

• Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

#LI-KC

Staff Data Scientist -  Experimentation & Measurement 

Overview:

As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products.

What You’ll Be Doing:

• Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible.
• Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership.
• Mentor and guide other Data Scientists, providing thought leadership and technical direction.
• Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
• Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
• Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
• Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
• Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work.
• Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem.

asic Requirements:

• Bachelor’s degree or equivalent.
• 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD).
• Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
• Proficiency in SQL and Python for data extraction, transformation, and analysis.
• Broad and applied knowledge of statistical techniques.
• Experience with machine learning modeling is a plus.
• Proven ability to influence product and business decisions through clear, actionable insights.
• Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
  
  Preferred Requirements:
  • Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
  • Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

#LI-KC

Senior Data Scientist -  Experimentation & Measurement

San Diego, CA

Overview:

As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices—bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation.

What You’ll Be Doing:

• Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance.
   
• Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles.
   
• Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
   
• Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization.
   
• Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
   
• Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
   
• Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
   
• Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work.

Basic Requirements:
 

• Bachelor’s degree or equivalent.
   

• 5+ years of experience in a data science experimentation-focused role (3+ with PhD).
   

• Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
   

• Proficiency in SQL for data extraction and transformation.
   

• Proficiency in Python, including statistical and data science libraries.
   

• Broad and applied knowledge of statistical techniques and machine learning modeling methods.
   

• Proven ability to influence product and business decisions through clear, actionable insights.
   

• Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
  

  Preferred Requirements:

• Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
   

• Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

#LI-KC

Staff Data Scientist -  Experimentation & Measurement 

San Mateo, CA (Hybrid)

Overview:

As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products.

What You’ll Be Doing:

• Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible.
• Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership.
• Mentor and guide other Data Scientists, providing thought leadership and technical direction.
• Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
• Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
• Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
• Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
• Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work.
• Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem.

Basic Requirements:

• Bachelor’s degree or equivalent.
• 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD).
• Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
• Proficiency in SQL and Python for data extraction, transformation, and analysis.
• Broad and applied knowledge of statistical techniques.
• Experience with machine learning modeling is a plus.
• Proven ability to influence product and business decisions through clear, actionable insights.
• Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
  
  Preferred Requirements:
  • Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
  • Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

#LI-KC

Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

Join Oscar’s AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you’ll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You’ll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You’ll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members.

You will report to the Sr. Director, AI.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $163,944 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems.
• Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics.
• Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback.
• Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences.
• Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation.
• Contribute to Oscar’s AI strategy and technical vision, helping shape the future of healthcare through technology.
• Other duties as assigned

Qualifications

• 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments
• Strong Python programming skills
• Experience solving complex, ambiguous problems 
• Experience designing and analyzing experiments or evaluations
• Experience or an interest in prototyping full-stack applications

Bonus Points

• Experience with the healthcare industry. Familiarity with claims or clinical data.
• Degree in math, statistics, data science, or engineering.
• Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact.
• Experience with NLP, neural networks, transformers, and modern AI frameworks.
• Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang).
• Experimental mindset: comfort with testing hypotheses and iterating on failures.

We are looking for a Senior Research Scientist for quantum memory development. As a Senior Research Scientist, you’ll lead part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. 

In this role, you will do pioneering work in quantum memories for long-range quantum networks and modular quantum computing. You will work with a world-class team of scientists and engineers to build systems that can rapidly process and store quantum information from photons and apply those systems to building scalable quantum computing systems. Your work will stretch from pioneering systems to operationalizing and scaling quantum memory systems that will be the backbone of the world’s largest quantum computers.

Responsibilities: 

• Design and test control sequences for quantum memories with high efficiency and fidelity
• Coordinate with photonic design and fabrication teams to produce high performance nanophotonic devices
• Optimize low-duty cycle tune-up routines to keep quantum memory systems running with high up time
• Continuously improve repetition rate, efficiency, and fidelity of quantum memories
• Interface with RF and optical engineers to scale the control and qubit routing systems for a large scale optical-interconnect architecture

You’d be a good fit with: 

• PhD in physics, applied physics, electrical engineering 
• Work in quantum optics and microwave control of qubits (ideally spin qubits in diamond)
• Experience designing and testing photonics 
• Experience in optically-mediated entanglement protocols between qubits

You’d be a great fit with: 

• Experience architecting high performance electro-optic systems
• Experience in cryogenics (especially dilution refrigerators)
• Experience in RF design
• Experience using Lumerical, Comsol, and/or Sonnet for photonics and RF design

Location: Boston, MA
Travel: Occasional domestic travel, 1 to 4 times per year.
Job ID:  IONQ-1269

The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, and equity.

Location: This role will be based on-site at our Boston, MA office.
Travel: Less than 10% travel
Job ID: 1462

The Role: 

We are looking for a Fabrication Research Scientist. As a Fabrication Research Scientist, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. 

In this role, you will design, fabricate, and test optical circuits for optical interfaces to qubits. You will develop integration techniques for combining optical and electronic devices that optimize for system level performance. You will lead efforts to fabricate and test these devices at foundry scale.

Responsibilities:

• Work with architecture teams to turn system level specifications into component level specifications and design rules 
• Design optical circuits taking into account target performance, fabrication capabilities, and interactions with other components 
• Fabricate test devices in a user facility 
• Build relationships with external vendors to scale up fabrication and testing
• Partner with internal test and measurement teams to ensure devices meet target specifications

Requirements:

• 5 + years of experience fabricating optical or quantum devices 
• A PhD in electrical engineering, physics, or a related field
• Experience leading cross disciplinary teams within large projects 

Preferred Qualifications:

• Experience hiring and training new teams for research and development work
• Knowledge of cryogenic testing and operation 
• Familiarity with architectures for distributed quantum computing, sensing, and networking

The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

We are looking for a Staff Scientist – Fault-Tolerant Quantum Algorithms to lead the technical development in utilizing IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Staff Scientist – Fault-Tolerant Quantum Algorithms, you’ll be a core member of a cross-functional team whose mandate is central to IonQ’s mission to solve the world’s most complex problems using the world’s best quantum computers.

As a hands-on expert in fault-tolerant algorithms, you will help discover the next generation of quantum applications that are poised to deliver results exceeding state-of-the-art classical methods. You will play a key role in developing quantum algorithms, core IP, computational resource models, long-term roadmaps, and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!

Responsibilities: 

• Lead hands-on development of novel fault-tolerant quantum algorithms that will make a large scientific and commercial impact across a wide range of industry verticals.
• Perform detailed resource analyses of quantum algorithms and perform SWOT analysis of FTQC approaches as compared to NISQ and/or classical methods.
• Provide trusted expertise in FTQC algorithms and communicate the current state-of-the-art, scaling behaviors, trade offs, cross-over points, etc. to stakeholders across the company.
• Drive constructive technical interactions across multi-disciplinary teams to identify, define and solve challenging real-world problems using IonQ trapped-ion quantum computers.
• Develop and drive adoption of industry-leading benchmarking and resource estimation methodologies, metrics, and tools.
• Develop portfolio of foundational IP and high-impact-factor peer-reviewed publications; represent IonQ externally with customer/clients and at conferences.

You’d be a good fit with:

• PhD in physics, mathematics, computer science, or similar field, or comparable field or equivalent work experience + 3 years of professional experience in the quantum computing field
• Demonstrated expertise in FTQC algorithms that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value: active portfolio of invited talks, repos, licenses, publications and/or patents
• Active participant in the FTQC algorithm community via, e.g., development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI), and/or community (economic development, standards)
• Relentless dedication to optimizing algorithmic performance (accuracy, time-to-solution) through elegant theoretical equations, as well as engineering optimization 
• Mastery of key mathematical techniques used in quantum computing and quantum algorithm development, and a demonstrated ability to communicate scientific results clearly.

You’d be a great fit with: 

• 5+ years of professional work experience developing end-to-end solutions for realistic industry problems such as computer-aided engineering, cybersecurity, chemistry, etc.
• Experience working with quantum algorithms for relevant use cases. This could include quantum simulation (e.g., product formulas, qubitization, qDRIFT, etc.), quantum algorithms and primitives (e.g., block-encodings, LCU, QSP, QSVT, Gibbs sampling, quantum linear systems, etc.), and/or end-to-end fault-tolerant quantum algorithms as applied to detailed use cases.
• Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++.
• Experience proposing, winning, and executing on consultative (paid) contracts; government contracting or defense contracting experience a plus
• Experience commercializing end-to-end software utilizing hybrid computing e.g. CPU + GPU + QPU, Edge, Cloud, etc. Knowledge of CI/CD a plus.

Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA, Toronto, Canada, Gothenburg, Sweden) or fully remote in the US
Travel: 10% domestic and international
Job ID:  1058

The approximate base salary range for this position is $167,808 - $219,704. The total compensation package includes base, bonus, and equity.

We are looking for a Senior Staff Scientist – Fault-Tolerant Quantum Algorithms to help lead the technical development of highly differentiated quantum solutions that will bring value to society. As a Senior Staff Scientist – Fault-Tolerant Quantum Algorithms, you’ll guide a cross-functional team whose mandate is central to IonQ’s mission to solve the world’s most complex problems using the world’s best quantum computers.

As a technical leader in the field of fault-tolerant algorithms, you will help discover the next generation of quantum applications that will exceed state-of-the-art classical methods. You will be a core member of technical leadership in quantum algorithms, and you will drive research into new quantum algorithms and develop IP, computational resource models, long-term roadmaps, and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!

Responsibilities: 

• Influence the quantum applications roadmap towards fault-tolerant quantum algorithms that will make a large scientific and commercial impact by leading the origination, execution, and optimization of novel, end-to-end quantum algorithms. Guide other team members towards this goal.
• Perform detailed resource analyses of quantum algorithms and perform SWOT analysis of FTQC approaches compared to NISQ and/or classical methods.
• Provide trusted expertise and leadership in FTQC algorithms and communicate the current state-of-the-art, scaling behaviors, trade offs, cross-over points, etc. to stakeholders across the company.
• Lead technical interactions across multi-disciplinary teams to identify, define and solve challenging real-world problems using IonQ trapped-ion quantum computers.
• Define, develop, and drive adoption of industry-leading benchmarking and resource estimation methodologies, metrics, and tools.
• Develop portfolio of foundational IP and high-impact-factor peer-reviewed publications; represent IonQ externally with customer/clients and at conferences.

You’d be a good fit with:

• PhD in physics, mathematics, computer science, or similar field, or comparable field or equivalent work experience + 5 years of professional experience in the quantum computing field
• 13+ years of professional experience or an equivalent combination of education and experience
• Demonstrated expertise in FTQC algorithms that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value: active portfolio of invited talks, repos, licenses, publications and/or patents.
• Active participant in the FTQC algorithm community via, e.g., development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI), and/or community (economic development, standards)
• Relentless dedication to optimizing algorithmic performance (accuracy, time-to-solution) through elegant theoretical equations, as well as engineering optimization
• Mastery of key mathematical techniques used in quantum computing and quantum algorithm development, and a demonstrated ability to communicate scientific results clearly.

You’d be a great fit with: 

• 7+ years of professional work experience developing FT quantum algorithms that align with realistic industry problems such as computer-aided engineering, phase transitions, reaction modeling, cybersecurity, differential equations solving, simulation of physical systems, etc. 
• Deep expertise in quantum algorithms for relevant use cases. This could include quantum simulation (e.g., product formulas, qubitization, qDRIFT, etc.), quantum algorithms and primitives (e.g., block-encodings, LCU, QSP, QSVT, Gibbs sampling, quantum linear systems, etc.), and/or end-to-end fault-tolerant quantum algorithms as applied to detailed use cases.
• Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++.
• Experience proposing, winning, and executing on consultative (paid) contracts; government contracting or defense contracting experience a plus
• Experience commercializing end-to-end software utilizing hybrid computing e.g. CPU + GPU + QPU, Edge, Cloud, etc. Knowledge of CI/CD a plus.

Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA, Toronto, Canada, Gothenburg, Sweden) or fully remote in the US
Travel: 10% domestic and international
Job ID:  1254

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.

We are looking for a Lead Microwave Research Scientist. As a Microwave Research Scientist, you’ll be part of a cross-functional team whose mission is to work with IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. In this role, you will develop the requirements for microwave circuits that enable new functionalities for quantum devices. You will design, fabricate, and test microwave circuits for electronic control of qubits. You will develop integration techniques for combining these circuits with optical and electronic devices that optimize for system level performance. You will lead efforts to fabricate and test these devices at the foundry scale.

Responsibilities: 

• Work with architecture teams to turn system-level specifications into component-level specifications and design rules
• Design microwave circuits taking into account target performance, fabrication capabilities, and interactions with other components
• Fabricate test devices
• Own relationships with external vendors to scale up fabrication and testing
• Work with internal test and measurement teams to ensure devices meet target specifications

You’d be a good fit with:

• 5 + years of experience fabricating microwave devices
• PhD in electrical engineering, physics, or a related field
• Experience leading cross-disciplinary teams within large projects
  
  

You’d be a great fit with: 

• Experience with helping in acquiring independent funding for new initiatives
• Experience helping with hiring and training new teams for research and development work
• Knowledge of cryogenic testing and operation
• Familiarity with architectures for distributed quantum computing, sensing, and networking

Location: This role will work onsite at our office located in Boston, MA.
Travel: Less than 10% travel
Job ID:  1160

The approximate base salary range for this position is $141,670 - $181,482. The total compensation package includes base, bonus, and equity.

Legend Biotech is seeking a Preclinical Scientist as part of the Research and Early Development team based in Somerset, NJ.

Role Overview

This position will perform preclinical IND-enabling pharmacology and toxicology studies to support pipeline programs. The ideal candidate will have experience in immunology or immune-oncology to assist preclinical cell therapy studies from discovery to first-in-human trials, and through marketing authorization. Furthermore, the successful candidate will work in a collaborative environment , and would be skillful in driving multiple projects by contributing to the development of cell-based immunotherapies.

Key Responsibilities

• Develop and validate assays to support diverse projects from lead optimization to the conduct of preclinical pharmacology and toxicology studies for regulatory submission. This includes, designing, optimizing, and implementing IND-enabling studies, contributing to the creation, review, and approval of prospective standard operating procedures, executing in vitro and in vivo IND-enabling studies, recording all experiments in an electronic laboratory notebook, reporting any deviations, analyzing and reporting processed data in the form of a study report.
• Design and support in vitro IND-enabling studies to assess efficacy and safety of cell therapies. 
• Support the preparation of scientific and regulatory documents of IND-enabling preclinical studies.
• The Preclinical Scientist will work independently reporting directly to the Director of Preclinical Pharmacology and Toxicology.
• The Preclinical Scientist will demonstrate competency and professionalism especially as it pertains to using the scientific method to design, execute, and troubleshoot in vitro laboratory experiments.

Requirements

• BS plus 5 years of experience, MS plus 3 years of experience.
• Work experience in immunology, cancer biology or related fields.
  
• Knowledge and expertise in immune-oncology of large molecules or cell therapy is a plus.
  
• Strong scientific background with hands on experience in cellular and molecular biology techniques (e.g., flow cytometry, ELISA, cell culture and cytotoxicity assays, qPCR, Western Blot and others).
  
• Demonstrated track record of scientific contributions in peer-reviewed journals and symposia.
  
• Ability to manage multiple programs in parallel while delivering on key milestones.
  
• Knowledge of GLP and regulatory agencies is a plus.
  
• Ability to multi-task in a fast-paced, highly collaborative diverse team environment.

#Li-JR1

#Li-Onsite

Legend Biotech is seeking a Senior Clinical Research Scientist as part of the Clinical Development team based in Somerset, NJ.

Role Overview

The Clinical Research Scientist (CS) in Clinical Development is an important role in the company supporting the development and life cycle of drug development projects. The Clinical Research Scientist will work closely with the Clinical Trial Lead/Medical Lead and Clinical Trial Manager to design and implement clinical trial protocols and manage sites, CROs and other associated work. In addition, the CS will support their manager to ensure program consistency & alignment across studies, working closely with cross-functional teams for achieving project goals, within timelines & with high quality. This clinical scientist will support early phase drug development in autoimmune indications.

Key Responsibilities

• Responsible to ensure the data review and cleaning activities meet the quality standards to support database locks in collaboration with data management and medical lead/clinical trial lead. Uses clinical and disease state knowledge to make recommendations for methods and strategy for data cleaning approach
• Collaborate with other functions to successfully support the planning and execution of clinical studies. Provides independent leadership of all areas requiring clinical input with oversight from the assigned Clinical Trial Lead/Medical Lead, and provides innovative and quality solutions for assigned problems and tasks.
• Provides clinical input and strategic recommendations for the planning and implementation of assigned clinical trial(s) including investigator selection, patient recruitment, feasibility questionnaire, training PowerPoints, and supporting Ethics committee submissions.
• Contributes to the strategic planning, preparation, and review of clinical documents (Protocol, ICFs, CSR, investigator brochure). May lead certain documents or sections of documents, including incorporation of input from other cross-functional team members.
• Provides clinical input and strategic recommendations for regulatory documents needed for all stages of assigned trial lifecycle (IND documentation, HA briefing books, BLAs, and Orphan Drug Applications).
• Responsible for clinical portions of key data management/statistical documents (eg: Case Report Forms, edit checks, data review plan and reports).
• Contribute to the planning and execution of external meetings and internal stakeholder meetings (e.g., Ad Boards, IMs, Governance, DMCs, Regulatory Authority, Dose Escalation meeting); responds to or triages questions for appropriate escalations. May have a speaking role on meetings when appropriate.
• Supports their manager when asked to contribute to harmonization between clinical trials and process improvement initiatives.
• May have the authority to make decisions related to issuing data cleaning queries and can decide whether there is a need to escalate for further discussion with the medical lead. They may also be delegated tasks from the clinical trial lead/medical lead for which they have decision making authority e.g. comment resolution when leading document creation.

Requirements

• At least a Bachelor’s degree in life science discipline.
• Bachelor’s degree with 4+ years’; or MS with 3+ years’; or PharmD/PhD with 2+ years of pharma experience in clinical development or related function.
• CAR-T cell therapy and/or autoimmune disease experience is a plus.
• Good interpersonal & communication skills, including oral, written and interpersonal.
• Ability to effectively manage conflicts and negotiations while providing impact and influence.
• Collaborative with the ability to operate across multiple geographies.
• Good leadership & organizational skills, analytical skills, and presentation skills.
• Creative problem-solving skills.
• Strong organizational and project management skill and the ability to multitask.
• Computer literacy required (MS word, MS excel, MS PowerPoint and MS Project).
• Oncology Therapeutic Experience preferred.
• Excellent working knowledge of GCP, FDA and ICH Guidelines.

#Li-JR1

#Li-Hybrid

Legend Biotech is seeking a Principal Scientist, Clinical Biomarker, Immunology, Immuno-Oncology, & Hematology (Contractor) as part of the Research & Development team based in Somerset, NJ.

Role Overview

We are seeking a highly motivated and innovative Principal Scientist to join our immunology and immuno-oncology (IO) clinical biomarker projects, with a dedicated focus on hematological malignancies. In this role, you will drive the clinical translational understanding of novel therapy in hematology. You will serve as the biology lead on cross-functional project teams, drive MOA of novel cell therapy and clinical biomarker strategy.

Contract Duration: 12 months

Key Responsibilities

• Scientific Leadership: Design, execute, and analysis results from clinical studies to investigate the mechanisms of action for novel IO targets in hematological indications (e.g., AML, DLBCL, Multiple Myeloma).
• Translational Strategy: Bridge discovery and clinical development by utilizing primary human samples and clinical datasets to validate targets and understand the immune microenvironment in hematology.
• Understanding MOA: Oversee the generation and interpretation of high-dimensional molecular and cellular data. Leverage advanced single-cell technologies (e.g., scRNA-seq) to deeply profile immune cell compartments, particularly T-cell states and exhaustion markers, to inform patient stratification and biomarker hypotheses.
• Cross-Functional Collaboration: Partner closely with other functional teams for better understanding of MOA and fundamental immunology

Requirements

• Ph.D. in Immunology, Immuno-Oncology, Cellular Biology, or a closely related discipline, can initiate and lead data driven MOA studies. Experience with cell therapy a plus but not required.
• A minimum of 5-8+ years of post-doctoral and/or industry experience in biotech or pharma, with a proven track record of advancing IO programs. Deep understanding of immunology, particularly T cell biology highly desirable.
• Deep biological understanding of hematological malignancies and the unique tumor immune microenvironment of the blood and bone marrow.
• Experience working with multiple dimensional data, extract biological insights from data highly desirable.
• Exceptional written and verbal communication skills, with the ability to distill complex data into clear, actionable strategic decisions.

#Li-JR1

#Li-Contract

Legend Biotech is seeking a Principal Scientist, Lentivirus Downstream Process Development as part of the Technical Development team based in Somerset, NJ.

Role Overview

The Principal Scientist, Lentivirus Downstream Process Development, will be a key technical leader responsible for designing, optimizing, and scaling purification processes for lentiviral vectors (LVV) within our innovative pipeline. This role focuses on delivering high-quality vector products to support LVV generation and other advanced cell therapy programs. The successful candidate will drive scientific excellence in downstream processing (DSP)—including clarification, chromatography, TFF, sterile filtration and fill/finish—ensuring processes are robust, scalable, and phase-appropriate for GMP manufacturing. This position demands a blend of hands-on technical mastery and strategic thinking to accelerate timelines while maintaining a patient-focused approach.

Key Responsibilities

• Design and execute highly efficient purification strategies for lentiviral vectors, specifically optimized for CAR-T applications.
• Direct the development and optimization of downstream processes including and not limited to: clarification (depth filtration, centrifugation), chromatography (AEX, SEC, HIC), and Tangential Flow Filtration (TFF) for concentration and diafiltration.
• Provide hands-on training as needed.
• Direct the translation of bench-scale processes to GMP manufacturing, ensuring seamless technology transfer and providing troubleshooting support during clinical production runs
• Lead the execution of study protocols to define operating parameters and performance limits; implement state-of-the-art knowledge management for DSP data.
• Communicate the potential for issues and delays along with solutions and mitigation approaches.
• In collaboration with the Senior Leaders, CMC Project Manager, Project Leader, and other technical leads identify project acceleration opportunities.
• Leverage advanced science and technology to maximize vector recovery, purity, and potency, identifying creative solutions to define unknowns in the viral vector field.
• Guide a team of scientists in the execution of project-specific activities, fostering a culture of transparency, scientific rigor, and continuous improvement.
• Author and serve as a primary reviewer for technical documents, including development reports, SOPs, and CMC sections for regulatory submissions (IND/IMPD).
• Work closely with Upstream Process Development and Analytical Development teams to ensure integrated and holistic process outcomes.
• Tech transfer process to/from other Legend sites or CDMOs
• Resolve conflict and proactively identify/address performance issues.
• Ensure compliance with regulatory requirements. 

Requirements

• Advanced degree (PhD preferred, or MS) in Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, or a related field.
• 8+ years (PhD) or 10+ years (MS) of experience in process development or manufacturing within a biotech or pharmaceutical setting.
• Deep technical hands-on experience in purification, chromatography, and TFF specifically for viral vectors (Lentivirus preferred)
• Strong understanding of GMP manufacturing requirements and CMC strategies for early-phase clinical trials.
• Deep knowledge and hands-on experiences in cell and lentiviral vector technologies within the current emerging field
• Ability to implement closed-system processes and maximize cost effectiveness
• Strong knowledge in engineering modeling and optimization.
• Excellent leadership, emotional intelligence, and communication skills; ability to maintain composure and strategic focus during challenging development timelines.
• Creative, strategic thinking
• Strong troubleshooting skills
• Preferred experience in developing vector processes tailored for CAR-T generation and systemic delivery
• Preferred experience in handling large scale(>50L) purification process.
• Language: English. Mandarin is a plus. 

#Li-JR1

#Li-Hybrid

Legend Biotech is seeking a Sr. Principal/Principal Scientist as part of the Research & Early Development team based in Somerset, NJ.

Role Overview

Legend Biotech is seeking a highly experienced Senior Principal Scientist / Principal Scientist – Flow Cytometry to provide scientific leadership and hands-on expertise in flow cytometry to support cell and gene therapy programs from IND-enabling studies through early- and late-stage clinical development. This role is critical for ensuring scientific rigor, data quality, and strategic insight across in-house and outsourced flow cytometry activities, including assay development, validation, CRO oversight, and deep data interpretation to support translational, PK/PD, and regulatory decision-making.

Key Responsibilities

Scientific & Technical Leadership

• Lead the design, development, optimization, qualification, and validation of multicolor and spectral flow cytometry assays supporting IND-enabling animal studies and clinical trials.
• Provide subject-matter expertise in panel design, antibody and reagent qualification, gating strategies, and data analysis for complex immunophenotyping applications.
• Conduct deep scientific review and interpretation of flow cytometry datasets to support PK/PD, mechanism-of-action, and translational insights.

CRO & Vendor Oversight

• Serve as the primary scientific lead for external laboratories and CROs performing flow cytometry assays.
• Oversee assay transfer, validation, execution, troubleshooting, and data delivery at CROs.
• Ensure outsourced activities meet Legend quality standards, regulatory expectations, and program timelines.
• Identify risks related to assay performance, data quality, and operational execution, and implement mitigation strategies.

Regulatory & Compliance

• Author, review, and approve bioanalytical assay validation reports, study reports, and regulatory documentation.
• Ensure flow cytometry assays and data packages are inspection-ready and compliant with GxP principles and data integrity requirements.
• Contribute to bioanalytical sections of IND and other regulatory submissions.

Cross-Functional Collaboration

• Partner with Clinical, Translational Research, Biomarkers, Nonclinical Safety, and Data Science teams to align assay strategy with program objectives.
• Provide scientific input to study design, endpoint selection, and interpretation of bioanalytical results.
• Communicate complex data clearly to multidisciplinary stakeholders.

Operational Excellence & Mentorship

• Establish and maintain SOPs, best practices, and governance for in-house flow cytometry workflows.
• Mentor and scientifically guide junior scientists and associates.
• Evaluate and implement new technologies, platforms, and analytical approaches to enhance capabilities.

Requirements

• Ph.D. in Immunology, Cell Biology, Molecular Biology, or related discipline with 8+ years (Principal Scientist) or 10+ years (Senior Principal Scientist) of relevant industry experience; or M.S. with 12+ years of experience.
• Extensive hands-on experience with multicolor and spectral flow cytometry platforms.
• Demonstrated experience supporting cell therapy and/or gene therapy programs.
• Strong understanding of bioanalytical method development, validation, and regulatory expectations.
• Proven ability to lead complex programs, influence cross-functional teams, and provide strategic scientific direction.
• Experience overseeing CROs and external vendors.
• Excellent written and verbal communication skills.
• Experience with CAR-T, in vivo gene delivery, or other advanced cell therapy platforms.
• Experience contributing to IND-enabling or regulatory filings.
• Background in translational PK/PD applications of flow cytometry. 

#Li-JR1

#Li-Onsite

The Opportunity:

We are seeking a QSP modeling & simulation scientist to be part of the Nonclinical Development and Clinical Pharmacology (NDCP) organization. This position will be responsible for developing, validating, and executing modeling projects with a focus on mechanistic PBPK-QSP mathematical models for small molecule programs to increase mechanistic understanding of compound PK behavior and drug distribution, pharmacological effects on RAS targets, support clinical translation, and drive future discovery and development efforts.  As a Quantitative Systems Pharmacologist, you will:

• Develop, validate, execute, and refine quantitative systems pharmacology (QSP) models, minimal physiologically based pharmacokinetic (PBPK) models, semi-mechanistic PK/PD models, and tumor growth models to support development and discovery phase projects including next-generation inhibitor design and assessment of combination potential.

• Propose and perform in silico simulations to answer complex mechanistic questions, create data visualizations to effectively communicate modeling results to a wide-ranging audience, and devise strategies to improve model outputs.

• Survey the related literature to understand key physiological and biological processes, abstract the basic mechanistic elements, identify the relevant data, and summarize assumptions to be incorporated into existing or new PBPK-QSP models.

• Propose new mechanistic in vitro and in vivo experiments to test model assumptions and structure. Provide in silico support for preclinical translation including clinical efficacious doses/exposure projection, potential combination dosing regimens with other cancer therapeutics.

• Work collaboratively with other functions to build internal infrastructure supporting data transfer and quality control.

• Document contributions, including assumptions, mathematical models, data analyses, and data visualizations, to be shared with other scientists or used for archival purposes.

Required Skills, Experience and Education:

• A Ph.D. in a quantitative discipline (systems pharmacology, computational biology, engineering, mathematics, physics, etc.) and 0-2 years of industry experience is desired.

• Strong understanding of the principles and limitations of mathematical modeling, pharmacokinetic models, pharmacodynamic models, and quantitative systems pharmacology/biology models.

• Proficiency in mathematical and computational methods including ordinary differential equations (ODEs), nonlinear systems, statistics, optimization, and parameter inference.

• Proven record developing, calibrating, and validating dynamical system models in pharmacological and biological systems.

• Demonstrable hands-on experience with programming languages used in scientific computing, such as MATLAB, Python, Julia, and R.

• Capable of working proactively and independently to deliver high–quality modeling results in a timely manner.

• Able to effectively communicate modeling assumptions, limitations, and simulation results to non-specialist and specialist audiences.

• A critical thinker and team player who can work cross-functionally with others.

Preferred Skills:

• Experience with diverse dynamical system methods like ODE-based, PDE-based, nonlinear mixed effects, agent-based, Markov, Boolean, etc.

• Experience with integrating large data sets into QSP.

• Experience with agentic coding workflows such as Copilot, Cursor, Codex, and Claude Code.

• Experience with data-driven methods such as ML-based predictive regression models and physics-informed neural network models.

• Experience with modeling software such as SimBiology, NONMEM, Pheonix WinNonlin, Monolix, Simcyp designer, etc. 

  #LI-Hybrid #LI-CT1

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role.

About the Program

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

What You'll Do

• ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs.
• HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Who Should Apply

• Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
• Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
• Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus.
• Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC?

• Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
• Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location. 

Application Process

1. Apply: We review applications on a rolling basis.
2. Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
3. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.

As a Staff Machine Learning Research Scientist at SmarterDx, you will set technical direction for cutting-edge ML research and translate it into real-world clinical impact. You’ll work at the intersection of research, engineering, and healthcare, partnering with engineers and clinicians to build systems that deeply understand patient records and improve hospital outcomes. This is a senior, high-impact role where you’ll not only execute on ambitious ideas but also shape the team’s research agenda and standards.

You will be expected to operate with a high degree of autonomy—identifying promising research directions, critically evaluating academic work, and ensuring that what gets built is both scientifically sound and practically useful. Your work will directly influence how we evaluate models, detect hallucinations, and build high-quality datasets, ultimately improving the reliability of AI in healthcare.

**This role is fully remote within the US**

What You’ll Do

• Lead end-to-end ML research, from idea generation to production deployment and monitoring
• Design, implement, and evaluate novel methods for LLM alignment on proprietary clinical data
• Develop and rigorously evaluate approaches for hallucination detection, attribution, and model reliability
• Build and curate high-quality datasets, with a strong emphasis on evaluation design and benchmark integrity
• Critically assess academic literature to identify strong vs weak methods, and translate the best ideas into practice
• Establish best practices for experimental design, including statistically sound evaluation and reproducibility
• Collaborate cross-functionally with engineering to productionize models (MLOps, infra, deployment)
• Develop methods for long-context and multimodal modeling (structured + unstructured clinical data)
• Mentor other researchers and help raise the bar for research quality across the team
• Contribute to external presence through papers, talks, and recruiting

What You Bring

• Strong track record of ML research, ideally with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, etc.)
• Proven ability to distinguish high-quality vs low-quality research, especially in fast-moving areas like LLMs
• Deep understanding of LLM failure modes, particularly hallucinations, and how to evaluate and mitigate them
• Experience designing rigorous evaluation frameworks and building high-quality test datasets
• Strong intuition for dataset quality, bias, and benchmark design (data-centric AI mindset)
• Hands-on experience training large-scale deep learning models (multi-GPU / distributed systems)
• Deep understanding of modern neural architectures (transformers, SSMs, encoder/decoder models, etc.)
• Strong programming skills in Python and ML frameworks such as PyTorch or JAX
• Experience deploying ML models into production systems and monitoring their performance
• Clear and proactive communicator, able to explain complex ideas and critique work effectively

Nice To Haves

• Experience with inference optimization techniques (e.g., vLLM, KV caching, speculative decoding)
• Familiarity with MLSys concepts (parallelism strategies, distributed training infrastructure)
• Experience working with clinical or healthcare data
• Background in retrieval systems, graph-based learning, or multimodal modeling

Our Tech Stack

• PyTorch, Hugging Face Transformers, Python
• AWS (MWAA), Kubernetes, SLURM
• DeepSpeed, TorchTune
• Snowflake, Airflow, GitHub

Compensation

$220k-260k base salary

#LI-Remote

Role

As a Machine Learning Research Scientist, you will lead groundbreaking ML research and development at SmarterDx, collaborating closely with experienced engineers and clinicians to turn your inventions into enterprise-grade products. With minimal supervision, you will establish a research agenda informed by emerging trends in AI, develop and rigorously evaluate your proposed algorithms, deploy your algorithms into production, and monitor impact. You will collaborate closely with other machine learning research scientists to identify the most promising areas of AI/ML R&D for SmarterDx and establish shared infrastructure to accelerate research efforts across the team.

What You'll Do

• 45% Hands-on implementing new methods and relevant baseline models (ML Research)
• 20% Working cross-functionally to deploy models into production (MLOps, MLE)
• 20% Data Science (data engineering, dataset curation, experimental design, model updates, product domain expertise)
• 15% Academics & Outreach (e.g., scientific reading & writing, publishing, presenting at conferences, recruiting)
• Become a domain expert at clinical data and the healthcare ecosystem
• Own end to end model development including deployment into production and production monitoring, learning Machine Learning Operations (MLOps)
• Post training to align large language models (LLMs) on proprietary clinical data
• Develop new self-supervised pre-training tasks for improving models
• Develop novel retrieval, attribution and hallucination detection strategies for generative models
• Develop novel methods for explaining and summarizing diagnostic classifications
• Develop methods for selecting data sources to include in training (data-centric AI)
• Develop novel graph-based algorithms for improving classification of diseases and procedures with few or no labels
• Develop novel methods for multimodal data fusion (structured and unstructured data)
• Long-sequence language modeling

What You Bring

• Desire to translate research into tangible positive impact by deploying research into production engineering systems (MLOps)
• With scientific concepts, technical debugging or domain knowledge, ability and desire to communicate clearly and proactively when conveying or receiving
• Deep “under-the-hood” understanding of modern neural network architectures and distributed training. ie knows the differences between SwiGLU vs. sigmoid, GRUs vs. transformers vs SSMs, encoders vs. decoders, masked language models vs. autoregressive language models, Megatron vs nanotron vs DeepSpeed
• Extensive experience developing, implementing and training state-of-the-art deep learning models using multiple GPUs and nodes if necessary for large language models with frameworks such as PyTorch, JAX, etc
• Ability to assess, understand and create high-quality machine learning research, as demonstrated through publications at top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR, AAAI, NEJM AI, JAMIA, npj Digital Medicine, arXiv)

Nice To Haves

• MLSys skills ie knows the differences between tensor vs pipeline vs data parallelism, gloo vs mpi vs nccl, CUDA vs ROCm, Triton vs ThunderKittens
• Familiarity with inference optimizations, ie vLLM, SGLang, continuous batching, KV Caching, speculative decoding

Our Tech Stack

• PyTorch, Python, GitHub, Snowflake, Huggingface Transformers, AWS Sagemaker, Microsoft DeepSpeed, TorchTune, Apache Airflow, SLURM, Kubernetes

Compensation

$200-220k+ base salary

#LI-Remote

#LI-DNP

About Voyage AI Team at MongoDB

Voyage AI team in MongoDB is building a best-in-class, general-purpose, domain-specific, and fine-tuned embedding models and rerankers to enable accurate, efficient unstructured data search and retrieval for RAG, recommendation, semantic search, and more. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting-edge research on training embedding models. Voyage AI was acquired by MongoDB recently, and is now integrating the SOTA embedding models with MongoDB's data platform to create powerful end-to-end solutions.

Position Overview

We are seeking a Staff Research Scientist to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks.

This role can be based out of our Palo Alto office, or remotely in the United States.

Responsibilities

• Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers
• Innovate in next-generation information retrieval and LLM agent paradigm
• Collaborate closely with other research scientists and research engineers as well as peers across the organization

Qualifications

• PhD degree in Computer Science or related field
• A track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications in top venues
• Strong background in machine learning, deep learning, and natural language processing
• Experience building complex neural networks for language and visual understanding
• Capable of conducting rigorous empirical studies to validate theoretical results
• Excellent leadership, problem-solving, and communication skills

What We Offer

• Opportunity to work on real-world problems at the cutting edge of AI research
• Opportunity to utilize research vision to innovate the entire company and make real-world impact
• Exposure to the full lifecycle of AI model development, from research to production
• Our compensation (base + equity) for this position is competitive with frontier AI labs

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: 3263258184

We are looking for a Senior Developer Advocate to join our Developer Relations team. In this role, you will focus on engaging SMB customers to help accelerate their success on Atlas and unlock the full potential of the document model, creating inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to fast growing SMBs—to integrate advanced data capabilities into their applications and solutions. If you are passionate about helping developers build, launch, and scale their applications, 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 Austin, TX or anywhere in the US. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

Candidate Profile

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 developer, support, or solutions role. They will have 5+ 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). 

You are an effective teacher who can explain complex topics in a simple and easy-to-understand way. You will also develop a strong understanding of MongoDB's core capabilities, data modeling, and emerging trends in our industry. You will guide users to discover the increasing capabilities of our platform including Vector Search and Voyage AI. 

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 your peers and with cross-functional teams (Product, Marketing, Analytics, etc)  at all levels, asynchronously and across time zones, 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

• Develop an expertise understanding of core MongoDB database functionality and Atlas features such as Search, Vector Search, Data Federation, Online Archive, and Streaming
• Develop and deliver workshops, webinars, and design reviews for both general audiences as well as for specific customers in order to enable their creation of MongoDB document schemas for their specific workloads
• Communicate insights gathered from developer engagement, through code and content, to inform team members and enable other developers
• Create technical content to evangelize and educate developers across various formats and channels
• Deliver virtual and in-person developer enablement sessions to audiences of up to 400 developers

Requirements

• Experience in creating effective developer-focused code and content
• At least 5 years of experience in both customer-facing and developer-centric roles such as Technical Support, Solutions Architecture, Developer Relations, working with development teams in the design of high performance, scalable database implementations
• At least 3 years of experience (or the equivalent) of consulting with development teams as a non-member of the team
• Proficiency with at least one of the languages most popular with our customers (Java, Python, Javascript)
  Familiarity with 2 or more of the languages popular with our customers (Java, Python, Javascript or Typescript, C#, Rust, PHP)
• Strong presentation skills (both in-person and virtually), with ability in conducting live streams, and public speaking at events
• Written and spoken English language proficiency
• Ability and willingness to travel (up to 10%) primarily within the UK, Europe, and attend team meetings.
• Ability and willingness to shift working schedule to accommodate overlap with US or Asia timezones
• Experience specifically with MongoDB or similar NoSQL/document databases is a plus. 

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 over 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: 4263348181

Voyager is an innovative space, defense, and national security technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 

Forge the Future: Join Voyager Technologies 

The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  

You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 

Voyager's Advanced Technologies Group is defining the future of the company and critical space and defense markets. The Material Scientist is a hands-on research role responsible for advancing materials research and computational modeling in support of novel space applications. The role combines scientific rigor with applied machine learning to develop predictive tools and support mission-driven research programs. The scientist works collaboratively across engineering and program teams to drive research from concept through execution.

ESSENTIAL FUNCTIONS:

• Conduct and support materials research across computational and experimental domains.
• Develop and apply machine learning and data-driven methods to materials modeling and process optimization.
• Assemble, curate, and analyze datasets from simulations, experiments, and scientific literature.
• Collaborate with internal engineering teams and external research partners to advance materials knowledge and capabilities.
• Translate research findings into actionable guidance for space mission applications.
• Write technical reports and presentations; contribute to proposals and design reviews.

BASIC REQUIREMENTS:

• PhD in Materials Science, Chemical Engineering, Physics, or a related field
• Familiarity with applying machine learning or data-driven methods to scientific or engineering problems.
• Experience with computational simulation methods (e.g., MD, DFT).
• Strong analytical and problem-solving skills with the ability to work across computational and experimental domains.
• Excellent written and verbal communication skills.
• Ability to work effectively on multi-disciplinary teams and manage multiple priorities.

PREFERENCES:

• Experience modeling inorganic systems, particularly those relevant to metal alloys and/or semiconductors.
• Familiarity with experimental material characterization datasets spanning multiple methods (i.e., XRD, SEM, TEM, EDS, XPS, and spectroscopic techniques)
• Curious, detail oriented, and analytical with a proven ability to learn quickly
• Honest, Respectful and Patient
• Ability and willingness to make an impact
• Demonstrated initiative, drive, and interpersonal skills
• Thrives in a dynamic and fast paced environment

The good faith base salary range for this role is $125,000–$175,000 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future.

Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being.  

• Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance

• Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees
• Flexible, affordable gym memberships with 12,700+ options nationwide including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness and more! No long-term contracts and FREE on-demand workout videos before you enroll

• 401(k) retirement plan with a 50% company match on contributions up to 8%, supporting long-term financial security

• Company wellness programs that support physical and mental well-being

• Additional voluntary benefits and employee support resources
• The opportunity to work alongside a highly talented team in an innovative, mission driven environment

To meet obligations and signed agreements with NASA which allow access to necessary and critical data to perform these duties, you must be eligible to obtain the required authorizations from NASA, which authorization would not be granted for persons born in, or who have current or dual citizenship in, Russia, China (PRC) or any country from the designated countries list (https://www.state.gov/state-sponsors-of-terrorism/) that is on the State Sponsors of Terrorism list.

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.  

Minority/Female/Disabled/Veteran 

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice.

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.

About the opportunity

We are looking for a Data Scientist who will turn data into insights and build models that drive meaningful business outcomes. You will work closely with cross-functional stakeholders to understand problems, design analytical solutions, and deploy data products that scale.

What to expect?

• Collect, clean, and analyze structured and unstructured data.
• Develop predictive models, statistical analyses, and machine learning algorithms.
• Build dashboards, reports, and data visualizations to communicate insights.
• Collaborate with engineering to deploy models into production environments.
• Perform exploratory data analysis (EDA) to identify trends and opportunities.
• Conduct A/B testing and design experiments to measure feature performance.
• Document methodologies and ensure reproducibility of analytical work.
• Contribute to end-to-end machine learning workflows, including model training,  validation, and deployment, working with established tools and patterns and with support from engineering.
• Monitor model performance and data quality, and update models as needed.

What do you need to be successful?

Required

• Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Strong proficiency in Python (pandas, scikit-learn, NumPy).
• Experience using SQL to work with analytical databases and data warehouses.
• Solid understanding of statistical modeling, model evaluation, and experimental methods.
• Familiarity with machine learning techniques (regression, classification, clustering, etc.).
• Hands-on experience building and running machine learning models in production or production-like environments.
• Experience building dashboards with tools like Tableau, or similar.
• Strong analytical and problem-solving skills.
• Ability to balance analytical rigor with practical delivery.
• Excellent communication skills with the ability to translate data insights into business actions.

Preferred    

• Familiarity with workflow orchestration or model lifecycle tools (e.g., Airflow, MLflow) at a practical, working level.
• Implement practical model deployment approaches (e.g., batch inference, scheduled retraining) using existing team tools and patterns.
• Experience with cloud platforms (AWS, or similar).
• Knowledge of ML Ops tools (MLflow, Airflow, or similar).
• Exposure to big data technologies (Redshift, Snowflake).
• Experience working in agile environments.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/21/2026

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary: $136,000-$184,000

Role

We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers.

**This role is fully remote within the US**

What You'll Do

• Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions
• Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results
• Prototype analytics solutions and data products to accelerate product development
• Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications
• Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data
• Building, maintaining, and testing data models which support reporting and analytics.
• Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning

What You Bring

• 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep)
• Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations
• Masters in statistics or other relevant fields preferred
• Ownership: Build and own features from start to finish.
• Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights.
• Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so.
• Product focus: How can we maximize the utility and value we deliver to our end users?
• Familiarity with experiment design and statistical analysis

Nice To Haves

• Experience with health system clinical and/or revenue cycle data is preferred

Our Tech Stack

• Data Visualization: Hex and Evidence
• Analysis: Python & Data Science libraries (numpy, pandas, etc)
• Pipelines: Snowflake, dbt, airflow, git, and AWS

Compensation

$160,000 - $190,000

#LI-Remote

RES is looking for a Scientist II to join our team.

As a Scientist II at RES, you will support the implementation, monitoring, and success of ecological restoration projects across diverse ecosystems. This is a mid-level field and data-focused role that combines fieldwork, technical reporting, and cross-functional coordination to support permitting and compliance documentation. You will collect and manage data, contribute to project reporting, and bring applied knowledge of restoration science to project execution.

Watch the projects our scientists work on here.

Why You’ll Love This Job:

• You’ll get your boots dirty—literally. You’ll spend meaningful time in the field, collecting the data that drives real-world ecological restoration.
• You’ll see the impact of your work. Your efforts support the restoration of wetlands, streams, and habitats that improve ecosystems and communities across the region.
• You’ll learn from the best. With the support of senior scientists and cross-functional project teams, you’ll continue to grow your expertise in restoration science and applied ecology.

What your day-to-day might look like:

You’ll begin your day prepping field gear for a monitoring visit to a stream or wetland mitigation site. Once on-site, you may collect data using GPS, YSI meters, or turbidity sensors, following project-specific protocols and QA/QC standards. You’ll help guide junior team members, ensure field datasheets are accurate, and troubleshoot equipment as needed.

Back at the office, you’ll enter and analyze field data, draft sections of monitoring reports, and interpret site plans or planting palettes. You might meet with design or regulatory teammates to discuss crediting metrics, or help evaluate a site’s feasibility based on regulatory or ecological constraints. You’ll balance independent work with collaborative efforts to move restoration projects forward.

We would like to talk to you if you have many of the following:

• Bachelor’s degree in environmental science, biology, geology, or a related natural/physical science field
• 2+ years of experience in fieldwork, sampling, ecological monitoring, etc.
• Experience in collecting field data independently and following SOPs
• Experience in Wetland delineation and stream assessment
• Experience with vegetation surveys
• Comfortable evaluating site conditions and regulatory constraints
• Familiar with project task tracking and regulatory requirements
• Proficient in GPS/GIS tools
• Skilled in data analysis and technical report writing

What will make you stand out:

• Ability to apply ecological functional protocols
• Certifications (e.g., ArcGIS, drone pilot, YSI/turbidimeter experience) -

You Will Thrive in This Role If You:

• Are comfortable in the field and in the office—and enjoy a balance of both
• Can collect, organize, and interpret scientific data with care and accuracy
• Communicate effectively and take ownership of your tasks
• Can help guide junior field staff and contribute to team learning

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY GROWTH MEASUREMENT?

In this role, you will leverage your expertise in data science, statistics, and causal inference to develop measurement framework and product to deepen our quantitative understanding of growth efforts, which includes but not limited to performance marketing efficacy, attribution modeling and incrementality measurement. You will collaborate with cross-functional teams to develop and implement data-driven products and strategies that maximize the impact of our growth initiatives. You will also report to Senior Data Science leadership on the team.

You Will:

• Conduct comprehensive analyses and develop measurement framework for growth efforts using advanced statistical methods and causal inference methodologies
• Collaborate with marketing, product, and engineering teams to find opportunities for improvement and build data-driven solutions.
• Contribute to the development of a robust data infrastructure to support user growth.
• Communicate insights and discuss recommendations with cross function partners translating complex technical concepts into actionable insights.
• Partner with different product teams to optimize user growth strategies through insights, strategy, and leadership.

You Have:

• A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields.
• 4+ years of experience in a data science role, with a focus on marketing science and campaign evaluation.
• Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design.
• Experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools.
• Experience in the gaming industry and/or multisided marketplaces.

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.

Overview

Instacart’s Shopping Experience team is focused on making it effortless for people to discover, plan, and shop the food that fuels their lives. We’re building intuitive, trustworthy experiences that help customers find inspiration, make healthier choices, and get from idea to checkout with confidence.

We’re looking for a Senior Product Manager to lead our Health product area. In this role, you will shape the vision, strategy, and roadmap for how Instacart helps customers discover and shop food that honors dietary needs and helps them achieve their health goals.

You’ll partner closely with design, research, engineering, data science, and go-to-market teams to translate deep user empathy into delightful, impactful products. This is a highly visible, zero-to-one opportunity—ideal for someone who thrives in ambiguity, rolls up their sleeves to execute, and loves building startup-style products within the scale of Instacart.

You’ll join a focused pod within Shopping Experience with 6 engineers, 1 data scientist, 1 designer, and 1 user researcher, and collaborate across a broader group of product managers in the organization. The features you ship will be used by millions of customers every week, giving you the chance to drive meaningful outcomes at scale.

We’re a remote-friendly, fast-moving team that values clear communication, ownership, and collaborative problem solving to serve customers better every day.

About the Job

• Own the end-to-end product strategy and roadmap for Health within Shopping Experience, driving zero-to-one bets from discovery through scaled launch and iteration.
• Partner with design and research to deeply understand customer needs across inspiration, dietary filters, and health-forward discovery; translate insights into simple, elegant product experiences.
• Define success metrics and run a rigorous experimentation program (A/B tests, multivariate tests) to improve core outcomes such as engagement, conversion, and retention.
• Work cross-functionally with engineering, data science, operations, partnerships, legal, and privacy to deliver responsibly built features at scale, balancing speed with quality and compliance considerations.
• Build alignment across diverse stakeholders, communicate tradeoffs and decisions with clarity, and ruthlessly prioritize to maximize customer and business impact in a fast-paced environment.

About You

You combine customer obsession with data-driven decision making, communicate crisply across functions, and are energized by turning ambiguity into clear, measurable outcomes.

Minimum Qualifications

• 6+ years of product management experience building consumer products, including ownership of end-to-end user experiences from discovery through launch and iteration.
• Proven track record shipping zero-to-one products with measurable impact (for example: improved conversion, retention, or engagement) and scaling them to broad adoption.
• Hands-on experience collaborating with product design and user research to convert insights into clear PRDs, prototypes, and shipped features.
• Data fluency with experimentation and analytics (for example: defining success metrics, partnering on A/B tests, interpreting results; SQL proficiency or equivalent analytics tooling experience).
• Experience operating in highly cross-functional environments, influencing without authority, and aligning multiple stakeholder groups to a clear roadmap.
• Bachelor’s degree in a relevant field (such as Computer Science, Engineering, Design, Business, or a related discipline) or equivalent practical experience.

Preferred Qualifications

• Experience in health, nutrition, wellness, or other regulated consumer product spaces.
• Background in e-commerce, marketplaces, personalization/recommendation systems, search, or content experiences.
• Startup or “startup within a startup” experience leading products from zero-to-one in high-ambiguity, fast-moving environments.
• Familiarity with third-party integrations relevant to health (for example: recipes, nutrition data, or health data platforms).
• Exceptional storytelling and communication skills, including the ability to drive alignment across executive and cross-functional audiences.

#LI-Remote

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
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.

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

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 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
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.

• 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.

Team Description:

The Preclinical Team is responsible for designing, conducting, documenting, analyzing, and reporting preclinical studies. Our team provides a means for ensuring the safe, effective, and robust implantation of Neuralink devices into animals and, ultimately, humans.

Job Description and Responsibilities:

The Study Coordinator provides critical operational and project management support to the Study Director in GLP-regulated preclinical studies for Neuralink devices. This role handles the majority of day-to-day coordination, scheduling, data compilation, and administrative tasks, enabling the Study Director to focus on scientific oversight, data interpretation, and regulatory compliance. The Study Coordinator acts as a key liaison across the preclinical team, technical staff, and cross-functional groups to ensure studies progress smoothly, on time, and in compliance with protocols and SOPs. The Study Coordinator will:

• Support the Study Director in developing study protocols, amendments, and related documentation.
• Facilitate cross-functional communication, establish and track study timelines, and prepare/lead study milestone meetings.
• Identify and help eliminate roadblocks that could delay study progress.
• Assist with implementation of test methods and practices described in the study protocol and SOPs.
• Help ensure all experimental data, including observations of unanticipated responses of the test system, are accurately recorded and verified.
• Manage the study schedule, alerting the Study Director and team to critical data collection points or deadlines.
• Support the documentation and addressing of self-reported or QAU-generated deviations that may affect study quality.
• Compile data, organize contributing scientist reports, and assist in preparing the final study report so it accurately reflects study results.
• Maintain organized study files, track communications, and support archiving of data, documentation, protocols, specimens, and reports per GLP.
• Coordinate day-to-day study activities with technical staff, veterinary teams, and external partners (e.g., CROs if applicable).
• Contribute to internal tracking systems, meeting minutes, and status updates for the Preclinical Team.

Required Qualifications:

• Bachelor’s degree  in biology, neuroscience, biomedical engineering, animal science, or a related field.
• Minimum 1 year of experience in preclinical research support, study coordination, or project management (academic experience applies).
• Solid understanding of GLP regulations (21 CFR Part 58), basic knowledge of ISO 10993, and familiarity with in vivo animal studies.
• Strong organizational and project management skills with proven ability to manage timelines and multiple priorities.
• Excellent attention to detail and proficiency in data compilation, documentation, and Microsoft Office (or equivalent) tools.
• Experience working in or supporting animal research facilities with IACUC protocols.

Preferred Qualifications:

• Master’s degree  in biology, neuroscience, biomedical engineering, animal science, or a related field.
• Direct experience with neural device implantation studies or neurosurgical models.
• Background in a CRO or medical device preclinical setting.
• Familiarity with electronic data capture systems or GLP-compliant documentation platforms.

Additional Requirements and Competencies:

• Willingness to work in an animal research facility environment (with required training and PPE).
• Flexibility in schedule to support critical study timepoints.

Team Description:

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of excellence, aiming to uphold the highest standards of Good Clinical Practice (GCP) while redefining what’s possible and revolutionizing the way people interact with technology. Through strict compliance with ethical and regulatory protocols, we focus on ensuring the well-being of our trial participants while advancing the frontiers of neuroscience! Every day will bring fresh challenges and unprecedented opportunities to pioneer new approaches in the pursuit of our mission. From navigating regulatory pathways, designing trial protocols and documentation, and executing clinical trials, our team is instrumental in translating Neuralink’s BCI technology for use in people!

Job Description and Responsibilities:

As a Clinical Scientist I, you will support the development, design, and execution of Neuralink’s clinical evidence strategy. This role focuses on translating product and research objectives into clinical study designs, supporting data analysis, and ensuring scientific rigor across clinical programs.

This individual is  a self-driven and analytically strong individual who can contribute to clinical strategy while executing with precision. The ideal contributor is detail-oriented, collaborative, and comfortable working in a fast-paced, multidisciplinary environment.

In this role, you will:

• Support the design and development of clinical study protocols, including endpoints, inclusion/exclusion criteria, and statistical considerations
• Contribute to clinical strategy by translating research and product goals into evidence-generating study plans
• Partner with other team members to support execution of clinical studies and ensure alignment between scientific intent and operational delivery
• Build and maintain strong working relationships with internal teams, investigators, and external partners
• Support preparation of study-related documents, including protocols, investigator brochures, clinical study reports, and regulatory submissions
• Contribute to EDC and CRF design by ensuring alignment between protocol objectives, endpoints, and data collection strategy
• Translate clinical and scientific requirements into structured, high-quality data capture and validation approaches
• Assist in data review, analysis, and interpretation to evaluate safety and performance outcomes
• Contribute to development of abstracts, presentations, and publications
• Support interactions with ethics committees (e.g., IRB, RECs) and regulatory bodies as needed
• Ensure scientific and clinical activities are conducted in compliance with Good Clinical Practice (GCP), applicable regulations, and internal SOPs
• Identify data trends, inconsistencies, or risks and proactively communicate findings to the broader team

Required Qualifications:

• Familiarity with statistical methods or programming (e.g., Python, R)
• 5+ years of experience in clinical research or scientific roles within medical devices or related fields
• Strong analytical and problem-solving skills with the ability to interpret complex data
• Familiarity with clinical study design, endpoints, and data analysis concepts
• Working knowledge of Good Clinical Practice (GCP) and basic regulatory requirements (e.g., ISO 14155)
• Ability to work cross-functionally with clinicians, engineers, and operational teams
• Strong written and verbal communication skills, particularly in scientific and technical contexts
• High attention to detail and ability to manage multiple priorities

Preferred Qualifications:

• Experience with neurological, neurosurgical, or implantable medical device studies
• Experience supporting protocol development, data analysis, or clinical reporting
• Publications or scientific presentations in biomedical engineering or neuroscience
• PhD  in neuroscience, biomedical engineering, or a related field
  

Additional Requirements and Competencies: 

• Willingness to travel (up to ~20–30%) to support site visits, investigator meetings, and study activities
• Strong organizational and documentation skills
• Ability to work independently while collaborating closely with cross-functional teams
• Adaptability and comfort in a fast-paced, high-growth environment
• Commitment to scientific rigor, patient safety, and high-quality evidence generation

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

About the Role
Our Data Science team is a world-class data, applied science, and ML organization that leads data-driven decision-making and the conversational AI efforts for the entire company. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented data scientists in a high-performance and high-impact culture.

What You’ll Accomplish

• Lead the development of statistical, econometric, optimization, and machine learning models for a range of applications in our messaging and AI product offerings
• Design and execute experiments, interpret results, and draw actionable conclusions
• Use data to understand product performance, identify improvement opportunities, and define product/team roadmaps
• Present findings to senior leadership to inform and influence business decisions
• Collaborate with cross-functional teams across product, engineering, client services, and sales to drive business value from ideation to production

Your Expertise

• Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
• Knowledge of experimental design and analysis
• Experience with exploratory data analysis, statistical analysis and testing, and model development
• Ability to use Python to work efficiently at scale with large data sets
• Advanced proficiency in SQL

Nice to Haves

• 4+ years of industry experience as an Applied or Data Scientist or equivalent
• Familiarity with advanced statistical inference, experimentation, and causal inference methods
• Econometric experience with pricing and promotion optimization
• Expertise in customer lifetime value modeling
• Experience in personalization systems and cross-sectional cohort modeling
• Background in operations research (e.g., scheduling or assignment problems)
• Knowledge of advanced topics in XGBoost modeling

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $250,000 - $300,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

#LI-MDK1

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Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
• Stay up-to-date on the latest advancements in machine learning and data science

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 3+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote