Research Chemist Jobs

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet. You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next. Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s AI for Science Program and our rare disease research grants . What you'll do Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conv

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. We prioritize opportunities to make AI more accessible and raise the floor of what is possible in a given domain while also partnering with leaders to help expand the use of AI to new tasks that raise the ceiling of what is possible. About the role We're looking for a Partnership Manager to grow our AI for Science Program . You'll build and manage partnerships with individual labs from around the world. This program is the primary way that Anthropic’s life sciences efforts work with individual labs that have new and innovative ideas for how Claude can contribute to a growing set of scientific domains. In this role, you'll help build our approach to deploying Claude for Life Sciences across domains of research including the biomedical sciences, chemistry, and materials science. You'll work with incredibly interdisciplinary partners from academia as well as early stage companies. Your goal will be to develop relationships and goal directed partnerships that demonstrate or expand the capabilities of Claude in the sciences. You will focus both on individual projects but also building communities of practice that bring together scientists with similar interests or objectives. The right person will combine genuine curiosity and grounding in the sciences with an entrepreneurial and experimental drive to build something new at the frontier of AI. Responsibilities: Execut

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Welcome to Micron's Advanced NAND Process Pathfinding Team — where the next generation of memory technology is developed. We operate at the groundbreaking forefront of semiconductor innovation, engineering world-class memory solutions built for uncompromising performance. If you're ready to redefine what's possible in NAND process technology, we'd love you on this journey with us. As a Principal Engineer – Dry Etch, you will be part of an innovative Advanced NAND research & development dry etch team. This role offers significant opportunities for inventive work, cooperation, and pushing boundaries with Advanced NAND. You will engage directly with process integration and other process domains including Wet etch, CVD, Diffusion, Metals, Lithography & CMP. You will manage brand new and high-performance dry etch chambers and lead the process roadmap to fulfill program and yield targets. Responsibilities: Explore advanced dry etch methods to satisfy structural, electrical, yield, and integration demands throughout the NAND technology roadmap. Develop new plasma chemistries, process technologies, and equipment capabilities to enable future technology nodes. Apply advanced data analytics, AI/ML tools, and statistic

About the Role The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation. As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic. Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic. Past Research Speculative decoding research by Together researchers, interns and academic collaborators includes: Speculative Speculative Decoding (ICLR 2026) When RL Meets Adaptive Speculative Training: A Unified Training-Serving System (ICML 2026) Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training (MLSys 2026) Responsibilities Research and prototype new efficient speculative decoding algorithms and draft model architectures Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses. Implement optimized version for serving engines to show efficacy in real world workloads Communicate the plans, progress, and results of projects to the broader team Share findings through technical write-ups and blog posts, and help bring successful ideas into production Requirements Currently pursuing a Master's or Ph.D. degree in Computer Sci

About the Role The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation. As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic. Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic. Past Research Speculative decoding research by Together researchers, interns and academic collaborators includes: Speculative Speculative Decoding (ICLR 2026) When RL Meets Adaptive Speculative Training: A Unified Training-Serving System (ICML 2026) Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training (MLSys 2026) Responsibilities Research and prototype new efficient speculative decoding algorithms and draft model architectures Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses. Implement optimized version for serving engines to show efficacy in real world workloads Communicate the plans, progress, and results of projects to the broader team Share findings through technical write-ups and blog posts, and help bring successful ideas into production Requirements Currently pursuing a Master's or Ph.D. degree in Computer Sci

Lifecycle Marketing Manager- 3 month FTC Team: Marketing Prolific At Prolific, our marketplace is rooted in academia, and that commitment runs deep. Alongside our work to accelerate the future of AI, we’re continuing to redefine how the world conducts academic research. What started as a research-driven idea has evolved into the world’s most trusted infrastructure for human data. Today, tens of thousands of researchers from top universities across the globe rely on Prolific to power their work, from peer-reviewed studies to the next generation of technological breakthroughs. We're doubling down on our mission to serve the academic community, deepening relationships, building smarter tools, and making high-quality human data more accessible than ever. The role Prolific’s self-serve motion is a core growth engine for Prolific. We’re looking for an experienced lifecycle marketer to scale and ship the foundations of our lifecycle programme: onboarding, activation, retention and reactivation across email and in-app, plus the product-qualified signals that tell Sales which accounts are worth a conversation. You’ll work with Product, Customer Success, Sales/RevOps and Product Marketing. We need someone who can get up to speed quickly, make sound calls with minimal direction, and deliver programmes, dashboards and documentation. This is not a traditional B2B SaaS marketing role. We’re looking for someone who has run lifecycle in a product-led, self-serve business, where users sign up and start on their own and marketing’s job is to drive behaviour in and around the product. Demand gen, MQL/SQL pipeline, events and sales-led nurture are not the right background. This is a full-time, 3 month fixed-term contract, with the potential to extend depending on business needs. What you’ll bring to the role 5-7 years in lifecycle, CRM, retention or growth marketing at a product-led / self-serve company , with a track record of moving activation, retent

Research Consultant Team: Managed Services Prolific At Prolific, our marketplace is rooted in academia, and that commitment runs deep. Alongside our work to accelerate the future of AI, we’re continuing to redefine how the world conducts academic research. What started as a research-driven idea has evolved into the world’s most trusted infrastructure for human data. Today, tens of thousands of researchers from top universities across the globe rely on Prolific to power their work, from peer-reviewed studies to the next generation of technological breakthroughs. We're doubling down on our mission to serve the academic community, deepening relationships, building smarter tools, and making high-quality human data more accessible than ever. The role Our Managed Services team delivers a white-glove, consultative experience for customers running complex, high-impact research projects. From shaping research design and methodology to overseeing data collection, analysis, and reporting, we help organisations turn ambitious research questions into meaningful, actionable insights. As a Research Consultant you'll be at the heart of this offering, combining your research expertise with a consultative, customer-first approach to deliver exceptional outcomes for customers across academia and industry. You'll act as a trusted advisor, helping customers navigate complex research challenges, design effective studies, and make informed decisions backed by high-quality data. This is a hands-on, client-facing opportunity where you'll take ownership of multiple research engagements from initial consultation through to delivery and analysis. Working closely with our Sales, Customer Success, Product, and Supply teams, you'll not only help customers achieve their research goals but also play an important role in shaping and scaling Prolific's growing Managed Services offering. What you’ll bring to the role Strong experience designing and delivering complex re

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your role at Baxter Are you ready to make a significant impact in the field of materials characterization? Baxter's Infusion Technology and Platforms R&D is seeking a dynamic and innovative Research Scientist II to spearhead cutting-edge extractables and leachables (E&L) studies. This role, based in Round Lake, Illinois, offers the opportunity to collaborate with top-tier scientists and drive innovative E&L studies in a fast-paced environment. What You’ll Be Doing As a Research Scientist II you will be responsible for designing and executing E&L studies supporting medical devices, pharmaceutical products, and combination products. You will provide strategic direction, technical oversight, and resource planning while ensuring alignment with industry standards, regulatory requirements, and business objectives. Working across R&D, Regulatory Affairs, Toxicology, Quality, and external laboratories, you will drive the development of scientifically sound and regulatory-compliant E&L programs that support

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your Role at Baxter: At Baxter, you will lead the design and execution of stability studies supporting new product development and sustaining product initiatives. You will provide scientific and regulatory guidance for stability programs, including shelf-life and storage condition recommendations. Working closely with cross-functional teams, you will ensure compliance with global regulatory requirements and project timelines. What you'll be doing: Develop and execute stability study designs for new product development and sustaining product projects. Provide scientific justification for shelf-life, expiration dating, and storage condition recommendations. Lead stability-related technical investigations and analytical problem-solving activities. Prepare and support regulatory submissions and responses to health authority inquiri

Become a part of our caring community The Research Scientist 2 participates in research study design, analysis and interpretation of results, with special emphasis on statistical and analytical plan development; data acquisition, preparation, and management; statistical analysis and interpretation of findings. The Research Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. Humana’s Healthcare Quality & Reporting Improvement (HQRI) department is seeking a Research Scientist 2 to join a high-performing team dedicated to advancing predictive modeling and analytics in support of our Medicare and Medicaid business. The HQRI team plays a pivotal role within Humana, delivering insights that drive the effectiveness of risk adjustment initiatives. In this position, the Research Scientist 2 will partner with a senior research scientist to apply advanced statistical methods to rigorously evaluate the impact of risk adjustment programs and pilot projects. The findings generated will be critical in informing key business decisions and optimizing operational strategies. Additionally, the person in this role will collaborate with colleagues specializing in data science and actuarial analytics. We are seeking a candidate who brings complementary skills to the team, with the ability to learn from their teammates while contributing with their unique expertise in statistical analysis. Use your skills to make an impact Required Qualifications Bachelor's degree in Computer Science, Data Science, Mathematics or a related quantitative field; 2 years of experience applying statistical modeling, pred

As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in post-training and autonomous agents while remaining deeply engaged in the technical direction of the work. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog’s product and engineering teams to translate research advances into products. This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead research in agent post-training and reinforcement learning, setting the technical direction for ambitious research programs grounded in observability and security Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences su

NVIDIA is at the forefront of the AI and robotics revolution, and NVIDIA’s robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is uniquely positioned at the intersection of open academic research and real-world industry impact, pursuing fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, simulation, and robotics foundation models. This research aims to transform research paradigms, transfer into NVIDIA’s robotics and simulation products, and create new robotics markets for the world. The Seattle Robotics Lab has published over 500 research papers, including many influential works that have been presented at top robotics, AI, and computer vision conferences. These works include BayesSim , cuRobo , DeXtreme , DiSECT , Factory , GraspNet , IndustReal , ITPS , LAPA , <a href="h

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

Position Overview: We are seeking a highly motivated and skilled Research Associate I to join our dynamic team in the sample management. In this role, you will be responsible for the management of biological samples, ensuring their integrity, overseeing quality control, and supporting research projects that rely on biological specimens. The ideal candidate will have a strong background in bio sample management, research methodologies, and data analysis, with an interest in contributing to cutting-edge scientific research. Key Responsibilities: Sample Collection and Processing : Oversee the collection, preparation, and processing of biological samples (e.g., blood, tissue, saliva, DNA) in accordance with established protocols and best practices. Maintain proper documentation and labeling of samples, ensuring traceability from collection to storage. Sample Storage and Management : Ensure proper storage conditions (e.g., temperature, humidity) for various types of biological samples, including cryopreservation and ambient storage. Implement inventory management procedures to track and organize samples, utilizing database systems and laboratory management software (e.g., FreezerPro, LabArchives). Ensure the samples are appropriately cataloged and accessible to researchers in a timely manner. Database Management and Data Analysis : Manage and update the sample database, ensuring accuracy and compliance with sample tracking and research needs. Assist in data analysis and reporting, including the creation of sample inventory reports and performance metrics. Collaborate with the research team to retrieve and prepare data for research publications or grant proposals. Regulatory Compliance and Quality Control : Monitor and ensure compliance with regulatory requirements, including HIPAA, IRB guidelines, and biorepository-specific SOPs (Standard Operating Procedures). Implement quality control procedures to ensure sample integrity and that all processes meet accreditation stand

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Research Fellow About the Role As a Research Fellow at Snorkel, you’ll build open benchmarks and evaluation environments that help shape how AI progress is measured. This fellowship is for PhD students and postdocs who want to turn important questions in their fields into new ways to evaluate AI capabilities. You’ll own the project from the initial research question through public release, setting its direction and leading its development. A Snorkel researcher will serve as your co-advisor, and you’ll have access to Snorkel’s broader resources, including paid time from credentialed domain experts and compute to run experiments and evaluate frontier models. You’ll retain your academic affiliation while spending at least one day a week with Snorkel’s research team, including in person in our San Francisco or New York offices where applicable. What you’ll do Scope and lead a new benchmark, dataset, or environment in a domain where current evaluations fall short Define the task specification, rubrics, and reference answers with domain experts from Snorkel's network, and run the expert review process Release the research artifact publicly, with you as lead author. Join weekly research meetings to share progress, receive feedback, and contribute to other researchers’ projects What you'll get A Snorkel research co-advisor matched to your project Domain Experts, compute, and engineering support for your project An open-source academic artifact released as