Research Chemist Jobs

Dawn Aerospace and the University of Canterbury are seeking expressions of interest from prospective PhD candidates for a number of fully-sponsored research projects in advanced aerospace engineering. Successful applicants will be enrolled as PhD students at the University of Canterbury and will undertake research projects aligned with real-world aerospace challenges at Dawn Aerospace. Candidates will be supervised jointly by University of Canterbury academics and Dawn Aerospace technical experts. This is a unique opportunity to combine doctoral research with direct exposure to one of the world's fastest-growing space transportation companies. Available Research Projects Three projects are available: Microgravity Thermofluids Analysis and Propellant Management: Research focused on fluid behaviour and propellant management in microgravity environments, supporting the development of future space propulsion systems. https://bpb-ap-se2.wpmucdn.com/blogs.auckland.ac.nz/dist/e/1107/files/2026/07/ADS-2.13-Microgravity-thermofluids-analysis-and-propellant-management.pdf Multidisciplinary Design Optimisation for Hypersonic UAVs: Research focused on advanced design methodologies and optimisation techniques for next-generation high-speed aerospace vehicles. https://bpb-ap-se2.wpmucdn.com/blogs.auckland.ac.nz/dist/e/1107/files/2026/07/ADS-2.14-Multidisciplinary-Design-Optimization-for-Hypersonic-UAVs.pdf Design and testing of novel space-efficient damping structures (Coming Soon): A third PhD project will be published shortly and applicants will have the opportunity to express interest in this project as part of the application process. NOTE: This project is not part of the Applied Doctorate Scheme Questions about a project? We recognise that prospective PhD candidates may wish to better understand the research scope, expected outcomes, funding arrangements, and supervision model before applying. If you would like additional information about any of the pro

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers, sharp problem-solvers, and builders who are wired to make an impact! Robinhood isn’t a place for complacency—it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards! We're looking for an exceptional Benchmarking & Market Research Strategy Intern to help shape the future of our core platforms, products, and customer experiences in Singapore and across the APAC region. FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale. In this role, you will operate as an external competitive analyst and strategic advisor, analyzing detailed market mechanics and competitive brokerage activities to identify untapped market opportunities that directly inform our regional growth. This role is based in our Singapore office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. What you'll do Conduct deep-dive industry benchmarking and competitive market research to identify untapped business opportunities and customer trends in Singapore. Research external brokerage activities, customer dynamics, and regulatory landscapes to help inform key strategic decisions for regional leadership. Leverage diverse data sour

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This internship is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments. Preferred Qualifications: Currently pursuing a PhD in computer science, machine learning, or a related field. A demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas. Experience developing and evaluating large-scale models or machine learning systems. Familiarity with distributed training, lar

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 We are seeking a Recruiting Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our Recruiting organization, using rigorous scientific methods to advance our understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization. This role offers the opportunity to make a significant impact on both our recruiting practices and the broader field of people science at a leading AI safety company. Responsibilities Research design & scientific inquiry Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire Generate and test hypotheses about sourcing strategies, interview design, and selection decisions using rigorous experimental and quasi-experimental methods Conduct mixed-method research to understand what are the drivers and blockers to recruiting operations. Navigate research ethics considerations when studying candidate data, ensuring responsible research practices Selection & assessment research Design and execute validation studies to assess the quality of interviews and other selection tools Utilize psychometric techniques to analyze and improve interviewer calibration and rating consistency Lead investigative research into innovative approaches for candidate asses

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 Safeguards team builds the systems that detect and mitigate misuse of our AI models, from individual policy violations to sophisticated, coordinated attacks. A growing part of that work depends on lightweight detection methods trained on model internals, which let us identify harmful behavior cheaply and at scale. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. We're looking for an engineer to own the infrastructure behind that research. This is the tooling our researchers rely on to run experiments, train detection methods, and select detections for launch. It sits between research and production: researchers depend on it for fast iteration, and our detection systems depend on it for reliable, correct results as our models continue to change. Running machine learning workloads at our scale often requires solving novel systems problems. You'll identify those problems and build the abstractions, pipelines, and tooling that keep the research loop fast as requirements shift underneath you. Strong candidates will have a track record of solving large-scale systems and data problems and will be excited to grow deep machine learning expertise alongside it. Key responsibilities Build and scale the infrastructure and data pipelines behind Safeguards machine learning research Own the training, evaluation, and scoring workflows researchers use, with a focus on cutting the time between an idea and a result Design tooling and interfaces, including libraries and command line tools, that researchers can use directly without needing to understand the systems underneath Build correctness and

About the role We are building a higher education researcher motion that helps funded labs adopt OpenAI across core research workflows. This role will develop relationships with principal investigators, researchers, research software engineers, research computing teams, and university technology leaders, then translate high-value use cases into sustained Pro, Codex, API, and ChatGPT Edu usage. This is a hybrid business development and program management role. You will identify and qualify priority labs, design phased access and fellows programs, run pilots, remove technical and institutional blockers, and create repeatable paths from individual researchers to lab- and institution-level adoption. Additionally, this role will launch and manage a community of researchers with events, communications and support. In this role, you will: Build a pipeline of funded labs, research centers, and technical champions at priority R1 universities; qualify opportunities based on workflow value, funding path, influence, and expansion potential. Run discovery with researchers and university stakeholders to understand workflows, data and security needs, procurement constraints, and success criteria. Design and operate phased access and fellows programs, including eligibility, selection, offer mechanics, onboarding, office hours, community programming, and pilot goals. Translate research workflows into effective use of Pro, Codex, API, and ChatGPT Edu in partnership with Solutions, Product, and Education account teams. Manage pilots end to end, remove trust, funding, and technical blockers, and drive measurable activation, retention, and expansion. Turn early usage into product feedback, workflow documentation, peer proof, case studies, and repeatable enablement. Build clear handoffs and expansion paths from researcher to lab to institution; track fellow selection, activation, retained usage, workflow proof, conversion, and expansion. You might thrive in this role if you: Relevant exp

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a Technical Research Analyst to support the intake, documentation, and coordination of software and SaaS product updates. You’ll partner with stakeholders across the business to gather requirements, keep requests moving, and ensure decisions and action items are clearly captured. This is a full-time, in-office position based out of Rockstar’s unique game development studio in Oakville, ON. WHAT WE DO The Rockstar Games Systems Engineering Team delivers global IT systems infrastructure to the development teams. We maintain our infrastructure to the highest standard, with an emphasis on preventative actions rather than reactive. Our team constantly reviews our processes with the aim of automating wherever possible. RESPONSIBILITIES Research requested third party software and other tools and provide concise summaries for a variety of stakeholders. Coordinate intake for software and emerging technology tool requests by collecting required details, clarifying incomplete submissions, and preparing concise summaries. Partner with cross-functional teams (e.g., business stakeholders, IT, security, and governance) to understand business needs, track requests, route questions, capture feedback, and escalate risks or blockers. Support recurring review meetings by reporting on research, capturing feedback, documenting decisions, and maintaining action items (owners and due dates). Maintain vendor communications to ensure product features align with expectations and cost models, while staying informed on new feature releases Maintain an inventory of commonly used tools and identify pote

We are seeking a dedicated Clinical Research Physician to join our team in the North West. The ideal candidate will be involved in conducting clinical trials, ensuring they meet regulatory standards while advancing medical knowledge. This role is flexible, offering both part-time and full-time opportunities. Responsibilities: Conduct and oversee clinical trials in compliance with regulatory requirements. Ensure patient safety and adherence to study protocols. Collaborate with research teams to analyze and interpret clinical data. Prepare and review clinical trial documentation and reports. Maintain up-to-date knowledge of clinical research advancements and regulations. Communicate effectively with stakeholders, including patients, sponsors, and regulatory bodies. Qualifications: Minimum of 1 year of clinical research experience. Good Clinical Practice (GCP) certification is preferred. Advanced Life Support (ALS) or Immediate Life Support (ILS) certification is preferred. Medical degree with a valid medical license. Strong analytical and problem-solving skills. Excellent communication and organizational abilities.

About the Team AI Research Lab is one of DoorDash’s frontier innovation hubs, focused on building the foundation for an AI-native future across our three core audiences: consumers, merchants, and dashers. As AI capabilities accelerate, the AI Research Lab operates at the center of technical exploration and real-world execution — connecting frontier model research, internal platform investments, operator teams, and strategic external partners. Our mission is to translate cutting-edge AI research into scalable, production-ready systems that drive measurable business impact. We combine deep technical rigor with strong operational execution to ensure that breakthrough capabilities become durable competitive advantages for DoorDash. About the Role As an Associate Manager, Strategy & Operations on our AI Research Lab, you will play a central role in converting frontier AI advancements into shipped products and scalable infrastructure. You will operate across research, product, and operations to move from early discovery and experimentation to deployment and impact. This role sits at the intersection of customer insight, technical innovation, and business execution. You will help define and scale the Lab’s most important bets while building the foundations that enable AI applications to compound over time. You’re Excited About This Opportunity Because You Will … Reimagining core experiences through AI, such as the merchant journey, by partnering directly with in-field merchants, sales, support, product, and engineering teams. You will help unify major initiatives into a coherent, AI-native interaction model. Own revenue-driving AI initiatives, operating as the accountable business owner for high-priority AI bets and ensuring clear linkage between technical progress and financial outcomes. Lead business planning cycles, developing go-to-market strategies for AI-powered products and capabilities, overseeing execution through structured project plans, resource allocation,

About Us InStride Health’s mission is to deliver specialty anxiety and OCD care that works for every kid, teen, young adult, and family who needs it. Through this mission, we are expanding access to insurance-based care, increasing engagement in treatment, and improving treatment outcomes. We are doing this by combining research-backed clinical care and innovative technology to eliminate the major problems with care today: difficulty finding providers, months of waiting to be seen, arduous onboarding processes, and inconsistent use of evidence-based therapies and outcomes tracking. Our vision is to become the nation’s most trusted provider of pediatric anxiety and OCD care. Team InStride Health: Our Core Values Give Heart : We lead with heart, treating patients and their families the way we want our loved ones to be treated. Work Smart : We find smarter ways to solve hard problems and fix the broken mental health system by leveraging technology, diversity of thought, and innovation. Have Humility : We leave our egos at the door, empowering our team to collaborate, celebrate diversity, and adopt a growth mindset. Embrace Community: We all belong. We are in this together, and we never worry alone. We believe in each other and recognize that every voice matters. About the Role: We are seeking a Clinical Research Scientist to join the Clinical Research Team at InStride Health. This role is ideal for an early-career doctoral level clinician-scientist who is passionate about advancing quality, safety, and clinical effectiveness through rigorous analytics and data-driven research. The Clinical Research Scientist will play a key role in clinical outcomes evaluation within a highly collaborative, cross-functional environment. The individual will work closely with clinical, operations, product, and data teams to monitor high standards of care delivery, support evidence-based decision-making, and strengthen organizational quality initiatives. Responsibilities: Lead analy

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 researchers generate and depend on enormous amounts of data — training runs, evaluations, RL transcripts, annotations etc... The Research Data Platform team builds the systems that make that data easy to produce, find, query, and trust. We work in two modes: we build platform components that other systems plug into (for example, a metrics library that training frameworks integrate to record and retrieve run data), and we own core datasets end to end (for example, the data pipeline behind RL transcripts). As the team's tech lead, your job starts with our users. You'll work directly with researchers — and with the engineers who support them — to understand how they actually work, where managing data slows them down, and where a well-built platform component or a well-curated dataset would change what's possible. You'll turn what you learn into technical direction for the team, in partnership with the team's manager, who owns priorities and people. A central ambition you'll drive: a small set of canonical, well-documented datasets — starting with the core data model for RL — that researchers trust and standardize on, rather than every team managing its own copies. You'll spend your first few months close to the code and close to users: shipping improvements in our core systems, embedding with research teams, and building your own map of their workflows. As the team grows, this role has a natural path into formal people leadership for someone who wants it. Responsibilities Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportuni

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 Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly. This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace. Responsibilities Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams Make architectural decisions that shape the foundation of research infrastructure and tooling acr

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

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide. Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools. The Opportunity This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You’ll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health—advancing frontier AI research, accelerating engineering velocity, connecting rich biological data to AI systems, enabling reliable compute acro

We are seeking a dedicated Clinical Research Physician to join our team in Manchester, either on an ad hoc or full-time basis. This role involves overseeing clinical trials, ensuring patient safety, and maintaining regulatory compliance, contributing to groundbreaking research and advancements in healthcare. The areas are Leigh, Manchester and the Wirral, Responsibilities: Oversee the planning, execution, and management of clinical trials. Ensure adherence to clinical trial protocols and regulatory guidelines. Monitor patient safety throughout research studies. Collaborate with cross-functional teams to ensure successful trial outcomes. Provide leadership and mentorship to junior research staff. Stay updated with the latest developments in clinical research and trial methodologies. Qualifications: Medical Degree with full GMC registration and a license to practice. 1-3 years of experience in clinical trials or research, with exposure to leadership or mentorship roles. Strong understanding of clinical trial operations, patient safety, regulatory compliance, and protocol adherence. Familiarity with ICH-GCP guidelines and ethical standards in clinical research. · Familiarity with ICH-GCP guidelines and ethical standards in clinical research.