Senior Research Scientist in United States

ROLE SUMMARY We are seeking a highly motivated individual to join our high content imaging lab within the Discovery Biology and Pharmacology (DBP) group at the vibrant Groton campus in Connecticut. DBP is responsible for hit-identification, lead optimization, and molecular characterization of our small molecules and has teams focused on high-throughput screening, DNA-encoded libraries, pharmacology, protein homeostasis platforms, cellular models, functional genomics, and high-content imaging. The group is highly integrated with other groups in Medicine Design including Chemists, Structural Biologists, and Computational Scientists, and supports the small molecule portfolio across multiple therapeutic areas. The individual in this role will bring in rich experience in high content imaging and high throughput flow cytometry, and apply them to support our diverse small molecule portfolio spanning various therapeutic areas. ROLE RESPONSIBILITIES High-content imaging assay design, development, and optimization: Apply a broad range of imaging and flow cytometry assay technologies to address project needs. Independently develop, optimize, and troubleshoot high-content imaging and flow cytometry assays. Imaging data analysis and interpretation: Design and implement advanced image-analysis workflows, build complex analysis algorithms, and streamline data processing to support medium- to high-throughput screening. Translate imaging data into clear, actionable biological insights. Imaging infrastructure management and continuous improvement: Partner with team experts to support high-content imaging and flow cytometry instrumentation, implement software solutions that enable advanced imaging applications and data analysis, and continuously improve ima

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Fraud Data team within Plaid's Fraud organization. We leverage relationships and activity across Plaid’s network to develop machine learning models that help customers detect and prevent fraud while minimizing friction for legitimate users. Our team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. In this research role, you’ll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. As a Senior Research Scientist, you will lead applied research to develop next-generation fraud detection models across relational graphs, sequential events, images, and video data. You’ll design rigorous experiments and evaluation methodologies that reflect real-world fraud dynamics, while exploring state-of-the-art approaches such as Graph Neural Networks and Transformer-based foundation models. In close partnership with Machine Learning Engineers, you’ll translate promising research into production-ready solu

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation. This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting t

What You Will Achieve As a Senior Scientist, you will be at the center of our operations and you’ll find that everything we do, every day, is in line with an unwavering commitment to quality. You will be recognized as a technical expert and a scientific contributor. With your deep knowledge of the discipline, you will be an active team member whose decisions impact the projects. You will perform qualitative and quantitative analyses of organic and inorganic compounds to determine chemical and physical properties during chemical syntheses, or drug product development process. You will be using your scientific judgment to adapt standard methods and techniques by applying prior work experience. You will be forecasting and planning resource requirements for your project team. Your creativity in developing novel processes and new ideas will be used frequently. You will undertake mentoring activities to guide team members. It is your innovative scientific temperament that will help in making Pfizer ready to achieve new milestones and help patients across the globe. How You Will Achieve It This colleague will be responsible for developing analytical strategies in support of pharmaceutical drug substance and/or drug products during all development phases, including supporting manufacturing process development, developing, validating and transferring analytical methods, designing stability studies for shelf life assignments, and developing impurity control strategies. Collaborates with colleagues and subject matter experts to assess the most appropriate analytical approach to support project activities, including use of computational predictive tools, modelling software and data visualization tools where appropriate. Perform lab work and delegate responsibilities and review peer lab work as appropriate, Through effective communicat

About the Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. About the Role As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. In this role, you will: Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions

Why Patients Need You Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best-in-class medicines to patients around the world. What You Will Achieve As a Senior Associate Scientist, you will be at the center of our operations and you’ll find that everything we do, every day, is in line with an unwavering commitment to quality. You will be part of a team to support the preclinical evaluation and early clinical development of mRNA and protein based viral vaccines. You will be responsible for performing and developing immunoassays supporting various viral programs to monitor the immune responses elicited by vaccine candidates. You will be using your scientific knowledge to adapt and develop standard methods and techniques by applying prior work experience and consulting others. You should possess a strong work ethic and collaborative spirit and be adaptable to fast-paced environments. It is your innovative scientific temperament that will help in making Pfizer ready to achieve new milestones and help patients across the globe. How You Will Achieve It Perform assays to analyze immune responses to vaccine candidates that include (but are not limited to) cell culture, neutralization assays, other functional antibody assays, Luminex, and ELISAs in BSL-2 environments. Generate, characterize and tract critical reagents for preclinical bio-functional studies to support vaccine development. Assist with preclinical bio-functional assay development and t

Position Summary Pfizer is seeking a motivated Senior Associate Scientist to join the In Vivo Pharmacology group within the Oncology Research Unit, with a focus on antibody-drug conjugate (ADC) programs, but including other large molecule and small molecule programs. This role supports the execution of in vivo oncology studies that enable ADC discovery and preclinical development, including efficacy, tolerability, pharmacodynamic, and sample collection workflows. The ideal candidate will demonstrate strong technical aptitude, careful attention to detail, and a commitment to animal welfare, compliance, and high-quality study execution. The Senior Associate Scientist is expected to contribute as a dependable technical team member while building scientific understanding of oncology pharmacology and ADC-specific study requirements. Position Responsibilities Execute in vivo oncology studies supporting discovery programs using a variety of in vivo models including human cell line- derived, patient-derived xenograft, syngeneic models as appropriate with minimum guidance from study leads. Perform routine and advanced in vivo procedures, including tumor measurements, body weight monitoring, test article administration (IV, PO, subQ, IP dosing), clinical observations, and sample collection. Perform routine in vitro tissue culture procedures Support pharmacology studies evaluating efficacy, tolerability, pharmacodynamic biomarkers, dosing schedules, and combination approaches. Prepare study materials, confirm dosing and sampling schedules, and ensure study activities are performed according to approved protocols and SOPs. Maintain accurate, timely, and compliant study records using approved electronic data capture and documentation systems. Communicate study observations, technical issues, animal welfare concerns, and timeline risks promptly to managers and study line leads. Collabo

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Team The Finance Data Science team owns the forecasting systems that power Snowflake’s revenue planning and long-term financial strategy. Our work supports corporate planning, executive decision-making, and investor reporting, and we partner closely with Product and Sales to understand customer behavior and product impact. We operate at the intersection of machine learning, statistical research, and corporate finance, building production-grade forecasting infrastructure that is foundational to how the company plans and operates. The Role As a Senior Data Scientist, you will independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics. You will work on complex, open-ended problems at the intersection of machine learning and business strategy, translating real-world financial questions into rigorous, scalable models. What You’ll Do Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting). Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics. Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulat

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge OneTrust's platform supports complex, regulated workflows across privacy, consent, risk, and AI governance. Bringing m easurement maturity to all these areas will help drive a new level of visibility into user experience, ultimately helping our customers achieve their goals. We are hiring a Senior Quantitative UX Researcher to support our teams in data-driven decision-making: to define how experience is measured across the platform, to ensure the underlying data is valid and defensible, and to deliver analysis that informs roadmap decisions. This is the first quantitative research role on a newly expanded UX Research team, responsible for making our numbers defensible and then making them useful. You'll define how we measure the user experience of a complex enterprise platform, build the survey and behavioral measurement that answers real roadmap questions, and partner with designers and mixed methods researchers so that findings arrive with both the scale and the "why." What you'll do Design and run quantitative studies: benchmarking, segmentation, driver analysis, prioritizati

ROLE SUMMARY We are looking for a Senior Data Scientist to lead complex data science engagements that combine traditional statistical modelling with Generative AI. You will work hands-on with very large datasets across disparate systems and formats, translate ambiguous business problems into rigorous analytical solutions, and present those solutions clearly to C-level stakeholders. This is a delivery-first role with a fast track into technical leadership: alongside your own project work, you will help guide junior data scientists and shape how Lynx builds and ships data science solutions. KEY RESPONSIBILITIES Solution Design & Delivery Design and deliver end-to-end solutions for defined data science problems, combining classical modelling, data transformation, and Generative AI / LLM techniques. Work hands-on with very large datasets across disparate stores and formats, from ingestion and transformation through to modelling and validation. Apply statistical and machine learning methods to business problems such as customer retention, campaign management, and commercial performance optimisation. Client Communication & Leadership Present results and prepare client-ready materials for project stakeholders, including C-level audiences, translating technical work into clear business narratives. Lead smaller data science workstreams, with support from internal leadership and the PMO, including day-to-day guidance for junior team members. Partner with delivery and account teams to scope problems, set realistic timelines, and manage stakeholder expectations. Knowledge Building Create reusable documentation, presentations, and code libraries during projects so future engagements can build on prior work. Participate in internal education, research, and knowledge-sharing initiatives that raise the technical bar across the practice. SKILLS, QUALIFICATIONS AND EXPERIENCE 8+ years of overall experience in data science, with a track record of leading analytic

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Senior Scientist, Inflammation Biomarkers & Translational Research Location: Foster City, CA Department: Biomarkers / Translational Inflammation Level: Senior Scientist Role Overview Gilead Sciences is seeking a highly accomplished Senior Scientist to join the Biomarkers and Translational Inflammation Group in the research organization. This role will provide scientific leadership in the design, development, and execution of biomarker and translational strategies to support clinical programs across inflammatory and fibrotic diseases. The successful candidate will serve as a biomarker and translational science le

ROLE SUMMARY: The key strategic focus within the Internal Medicine Research Unit (IMRU) is identifying novel therapies to prevent or treat metabolic diseases such as obesity and cardiovascular disease. Our goal is to build a world-class research team of dedicated scientists committed to developing a deep mechanistic understanding of the metabolic pathways underlying disease pathogenesis. As a senior scientific leader and member of the obesity discovery biology team, this individual will play a significant role in shaping the scientific direction for the obesity therapeutic area and influencing broader IMRU research strategy and portfolio priorities. The individual will help create and drive discovery research strategy across multiple programs, including target ideation, validation, translational biomarker strategy, hypothesis testing, and early clinical development within the IMRU obesity portfolio. The successful candidate will lead through both direct team leadership and influence across multidisciplinary partners, helping align scientific decisions across discovery biology, translational sciences, clinical, computational, and external collaborators. The individual will identify emerging therapeutic opportunities, advance portfolio programs with scientific rigor and urgency, and represent research strategies to internal leadership and the external scientific community. Knowledge and experience in the study of metabolic pathways are essential, and familiarity with the pathophysiology of dysmetabolic states would be advantageous. Strong self-motivation, excellent communication and interpersonal skills, and the ability to lead, mentor, and build scientific capability in a highly collaborative environment are essential. ROLE RESPONSIBILITIES: Shape and influence the scientific direction for discovery research programs aligned with IMRU therapeutic area and portfolio strategy. Ap

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to the Quality leadership within Manufacturing Operations, the Senior Reliability Scientist is responsible for leading reliability activities across complex, high-performance systems. Working closely with established reliability experts and cross-functional teams, this role uses experimental data and advanced modelling to inform design decisions, validate product reliability and optimise serviceability strategies, including spares provisioning. The Team The Quality team within Manufacturing Operations is responsible for ensuring product robustness, reliability and lifecycle performance across Graphcore’s hardware portfolio. The team includes experienced reliability specialists and works closely with technology research, chip, board, system design, platform and operations teams to translate reliability insights into actionable improvements across the product lifecycle. Responsibilities and Duties: · Define and refine reliability requirements across silicon, board and system levels, working in partnership with research and design teams · Apply ad

About the Team OpenAI’s Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams to define meaningful measures of success, understand how our systems behave in the real world, and translate evidence into better decisions. As AI agents become more capable, they can write and execute code, access sensitive systems, and complete increasingly complex tasks with greater autonomy. These capabilities create powerful opportunities to improve cybersecurity, but they also introduce risks that traditional security tools and processes were not designed to address. Meeting this moment requires new ways to measure security, evaluate defenses, and distinguish genuine risk reduction from friction that slows users down. About the Role We are looking for a senior data scientist to help define what effective cybersecurity looks like in the age of AI agents. You will work across OpenAI’s Security organization and cybersecurity product teams to measure emerging risks, improve internal security controls, and shape AI-powered security products. The problems are foundational: How do we know whether an agent’s security controls are effective? Which safeguards meaningfully reduce risk, and which create unnecessary friction? When an AI system identifies a potential vulnerability, how do we determine whether the finding is accurate, actionable, and ultimately resolved? How do we detect anomalous behavior or risky access when the systems themselves are changing rapidly? You will report into Data Science while partnering closely with Security, Cyber Product, Engineering, and Research. This is a high-ownership role for someone who can establish a new analytical discipline, operate across organizational boundaries, and turn ambiguous security challenges into measurable improvements. In This Role You Will Define how we measure AI-agent security. Establish metrics and evaluation frame