Roivant Sciences jobs

Associé(e), Gestion des données cliniques – Sciences des données cliniques/ Associate Data Manager, Clinical Data Sciences Canada - Quebec - Kirkland posted: Posted Today

Directeur associé – Science de la donnée, Analytiques & IA / Associate Director – Data Science, Analytics & AI CA-QC-LONGUEUIL-J01 ~ 1000 Blvd Marie-Victorin ~ J01 BLDG posted: Posted 3 Days Ago

Manager, Data Science, WAVE Science Luxembourg, LUX Are you passionate about solving complex classification challenges at massive scale? We are seeking a Data Science Manager to join our ASIN Classification team within WAVE (World Wide AI Enablement). In this high-impact role, you will lead a team of scientists and engineers to architect, deploy, and operationalize advanced machine learning models that drive ASIN classification across a range of compliance programs. From supervised and unsupervised ML approaches to Large Language Models and Small Language Models, you will guide your team in harnessing state-of-the-art techniques to deliver accurate, scalable classification solutions for millions of ASINs. Key job responsibilities • Lead and manage a team of Applied Scientists, Data Scientists, and Engineers, fostering a culture of innovation, scientific rigor, and operational excellence • Define the team's science roadmap and prioritize classification initiatives across compliance programs • Own end-to-end delivery of classification solutions from problem framing and data strategy through model deployment and production monitoring • Drive architecture decisions including model selection, feature engineering from product catalogs, and evaluation metric frameworks • Translate ambiguous, large-scale compliance challenges into well-scoped data science and ML workstreams • Collaborate with business teams to convert business requirements into scalable ML solutions • Establish and monitor classification metrics, model performance KPIs, and production health dashboards to ensure continuous improvement • Partner cross-functionally with Science, Engineering, Product, and Operations teams to align science investments with business priorities • Build scalable data environments and ML pipelines to support model training, evaluation, shadow

Senior Scientist l, QTAS & ADME Sciences North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: AbbVie is seeking a highly motivated and experienced scientist to join our Quantitative, Translation & ADME Sciences (QTAS) team in North Chicago. The ideal candidate will have a strong background and expertise with in vitro models, drug metabolizing enzyme function, drug-drug interaction concepts, quantitative bioanalysis and ability to spot, ideate and drive cutting-edge science. Applicants having experience in an adjacent area, such as drug permeability and transport, receptor pharmacology and pharmacokinetic modeling is desirable. In this exciting role, you will be expected to participate in implementing innovative and quantitative approaches to advance translational ADME using conventional as well as more complex in vitro models. Working primarily in a laboratory, the position will involve the conduct and contribution to scientific leadership of in vitro assays as well as applying translational modeling concepts to help drive the global in vitro ADME strategy at AbbVie. The candidate will be expected to qualify, confirm and evaluate new technologies as well

Lead Engineer, Disciplinary Engineering and Science - Mathematics & Data Science (M/F/D) IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 posted: Posted Yesterday

Senior Photonics Integrated Circuit Test Engineer US-CA-SAN DIEGO-15110 ~ 15110 Ave of Science ~ SCIENCE, Ste 200 posted: Posted 30+ Days Ago

Principal Research Scientist, QTAS & ADME Sciences North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: AbbVie is seeking a highly motivated and experienced scientist to join our Quantitative, Translation & ADME Sciences (QTAS) team in North Chicago. The ideal candidate will have a strong background and expertise in drug metabolizing enzyme function, drug-drug interaction concepts, quantitative bioanalysis, ability to drive cutting-edge science and lead a team of junior scientists. Applicants having experience in an adjacent area, such as drug permeability and transport, receptor pharmacology and pharmacokinetic modeling is desirable. In this exciting role, you will be expected to participate in implementing innovative and quantitative approaches to advance translational ADME using conventional as well as more complex in vitro models. Working in a laboratory and non-laboratory setting, the position will involve the conduct and scientific leadership of in vitro assays as well as applying translational modeling concepts to help drive the global in vitro ADME strategy at AbbVie. The candidate will be expected to implement and/or evaluate new technologies and approaches to

Principal Photonics Integrated Circuit Test Engineer US-CA-SAN DIEGO-15110 ~ 15110 Ave of Science ~ SCIENCE, Ste 200 posted: Posted 30+ Days Ago

Senior Photonics Integrated Circuit Design Engineer US-CA-SAN DIEGO-15110 ~ 15110 Ave of Science ~ SCIENCE, Ste 200 posted: Posted 30+ Days Ago

Principal Photonics Integrated Circuit Design Engineer US-CA-SAN DIEGO-15110 ~ 15110 Ave of Science ~ SCIENCE, Ste 200 posted: Posted 30+ Days Ago

Fall 2026 Applied Science Internship - Canada, PhD Student Science Recruiting Vancouver, British Columbia, CAN Are you a PhD student interested in machine learning, natural language processing, computer vision, automated reasoning, or robotics? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You'll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. Amazon Science gives insight into the company's approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work. To ensure a great internship experience, please keep these things in mind. This is a

Technical Program Manager, Science Automation, DeepMind London, UK At DeepMind we seek to dramatically accelerate scientific discovery by achieving a higher throughput of experimental results and enabling fundamentally new kinds of science. The role will be to lead and shape complex programs in DeepMind's Science and Strategic Initiatives Unit, with a focus on the field of Science Automation, with a strong focus on lab automation in the domains of material science and life sciences. This is an opportunity to work with researchers in various fields, multi-disciplinary teams and external partners to shape this goal and bring our research breakthroughs to the real world. There will also be the opportunity to work on projects and processes spanning across the science and strategic initiatives unit. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Drive end-to-end planning and delivery using project methodologies, agile boards, risk trackers, and budget management to track success against goals. Create clarity and resolve ambiguity by translating high-level strategic goals into detailed, actionable execution plans with

Sr. Applied Scientist, PXT Central Science Bellevue, Washington, USA Every day, hundreds of thousands of Amazon associates show up to fulfill the promise we make to our customers. Behind the workforce decisions that support them - staffing, retention, scheduling, development - there should be science that doesn't just describe what happened, but explains why it happened and predicts what comes next. That's the work we do. PXT Central Science (PXTCS) is Amazon's internal research organization dedicated to bringing scientific rigor to people and workforce decisions at global scale. Our team sits within the part of PXTCS that focuses on Amazon's Tier 1 hourly populations - the associates at the heart of Amazon's operations. We are a multidisciplinary group of 15 economists, data scientists, data engineers, and research scientists united by a single mission: to transform complex operational challenges into actionable insights through rigorous causal analysis and predictive modeling that empowers data-driven workforce decisions. We are building something new - causal predictive models that go beyond traditional forecasting. Our models don't just tell leaders what will happen; they reveal why it will happen and what levers they can pull to change the outcome. This is the frontier where causal inference meets modern machine learning, and we need a scientist who can help us push it forward. As a Senior Applied Scientist on this team, you will be the connective tissue between innovative research and real-world impact. You will work shoulder-to-shoulder with economists who deeply understand the causal mechanisms driving workforce dynamics

Senior Applied Scientist, AWS Central Economics and Science San Francisco, California, USA AWS is one of Amazon's largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you. AWS Central Economics & Science (ACES) drives best practices for objectively applying economics and science in decision making across AWS. The team collaborates with AWS science and business teams to identify, frame, and analyze complex and ambiguous problems of the highest priority. Through data-driven insights and modeling, ACES supports strategic decision-making across the AWS global organization, including sales operations and business performance optimization. The ACES Sales Channels team is hiring an Applied Scientist (Senior or below) to advance our mission of providing rigorous, causal-inference-driven recommendations for AWS sales optimization. This role will focus on building ML systems with a causal modeling foundation, designing seller incentive mechanisms, and developing intervention strategies across the entire sales motion. Key job responsibilities • Causal ML System Development: Build and deploy machine learning models that emphasize causal inference, ensuring recommendations are grounded in valid interventions • Incentive Design: Define and model incentives that drive desirable behaviors across AWS sales channels, partner programs, and reseller ecosystems • Stakeholder Collaboration: Work with business stakeholders to understand requirements,

Applied Scientist, Measurement, Ad Tech, and Data Science (MADS) Toronto, Ontario, CAN The Measurement, Ad Tech, and Data Science (MADS) team at Amazon Ads is at the forefront of developing innovative solutions that help tens of millions of advertisers understand the value of their ad spend while prioritizing customer privacy and measurement quality. The Media Planning Science team develops and implements models that deliver insights and recommendations for strategic media planning and measurement across Amazon Advertising's product portfolio. Our mission is to help advertisers create and execute plans that meet their objectives while providing accurate measurement tools. We work on a multitude of problem statements that encompass Reach and Frequency, Budget Planning Optimization, and Recommendations. Our models leverage both heuristic and machine learning approaches including deep learning techniques, with insights delivered through agent-based tools and APIs that integrate seamlessly into user interfaces and programmatic systems to ensure optimal advertising outcomes. As an Applied Scientist on the team, you will be at the forefront of innovation, developing media planning solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. Key job responsibilities * Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement and media planning problems * Disambiguate problems to propose clear evaluation frameworks and success criteria * Work autonomously and write high quality technical documents * Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions

Health Science 5jobs Location not specified

Senior Applied Scientist, Ad Measurements Science New York, New York, USA The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As a Senior Applied Scientist on the team, you will be at the forefront of innovation, developing measurement solutions end-to-end from inception to production. You will set the technical vision and innovate on behalf of our customers. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics. Key job responsibilities * Lead the development of ad measurement models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies. * Collaborate closely with cross-functional teams including engineering,

Senior Data Scientist Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position The Ion endoluminal system is Intuitive's robotic platform for minimally invasive biopsy in the peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. Ion's Data team is responsible for developing analytical tools that generate insights and drive decision making for internal and external stakeholders. The successful candidate in this role will be a contributor to a high-performing data science team to develop data models, analytics, and related applications. Essential Job Duties (Specific responsibilities and tasks an individual

Applied Scientist, AWS Central Economics and Science San Francisco, California, USA AWS is one of Amazon's largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you. AWS Central Economics & Science (ACES) drives best practices for objectively applying economics and science in decision making across AWS. The team collaborates with AWS science and business teams to identify, frame, and analyze complex and ambiguous problems of the highest priority. Through data-driven insights and modeling, ACES supports strategic decision-making across the AWS global organization, including sales operations and business performance optimization. The ACES Sales Channels team is hiring an Applied Scientist (Senior or below) to advance our mission of providing rigorous, causal-inference-driven recommendations for AWS sales optimization. This role will focus on building ML systems with a causal modeling foundation, designing seller incentive mechanisms, and developing intervention strategies across the entire sales motion. Key job responsibilities • Causal ML System Development: Build and deploy machine learning models that emphasize causal inference, ensuring recommendations are grounded in valid interventions • Incentive Design: Define and model incentives that drive desirable behaviors across AWS sales channels, partner programs, and reseller ecosystems • Stakeholder Collaboration: Work with business stakeholders to understand requirements, validate

Applied Scientist II, Strategic Account Services (SAS) London, England, GBR Amazon Strategic Account Services (SAS) Tech Organization is looking for an Applied Scientist Applied Scientist who can autonomously drive scientific innovations from research to production, developing sophisticated AI solutions that serve both Amazon's global seller base and internal Marketplace Consultants. Working in a highly collaborative environment, you'll leverage expertise in machine learning, operations research, and statistics to translate theoretical advances in LLMs, probabilistic modeling, and optimization into practical applications. The role demands strong capabilities in prototyping and iterative improvement, bridging cutting models with real-world applications while maintaining scientific rigor and measurable business impact. Key job responsibilities - Lead the development of sophisticated AI solutions leveraging deep learning, LLMs, and advanced machine learning techniques to transform both seller operations and internal consultancy capabilities at scale - Define and drive long-term scientific vision for the organization, translating complex business challenges into innovative technical solutions that advance the state-of-the-art in applied machine learning - Design and implement advanced ML architectures combining multiple learning paradigms - from reinforcement learning and causal inference to predictive modeling - to tackle critical marketplace challenges - Architect next-generation recommendation and optimization systems that handle complex multi-dimensional constraints while maintaining robustness and interpretability at scale - Drive end-to-end development of AI applications from research through production, collaborating with engineering teams to ensure successful deployment and conducting rigorous A/B experiments to validate impact - Pioneer novel applications of foundation models and generative AI, developing sophisticated evaluation frameworks while maintaining Amazon's

Data Science Analyst Bengaluru, India posted: Posted Yesterday

Applied Science Manager, Amazon Publisher Monetization Stores New York, New York, USA The Amazon Publisher Monetization Stores team is seeking an experienced Manager, Applied Science to lead our Stores Supply Science team and our Stores Supply Applied Science Engineering team. In this role, you will be responsible for developing novel machine learning and optimization solutions to drive improvements in the monetization of digital content for Amazon's publishing partners. You will collaborate closely with product, engineering, and business stakeholders to identify high-impact opportunities, define technical roadmaps, and deliver innovative solutions at scale. Equally importantly you will represent APM Stores Science across the broader Ads science community (e.g. Sponsored Products, Sponsored Brands, DSP and Ads Econ) and drive collaboration and harmonization. This is an exciting opportunity to leverage your depth of applied science expertise to shape the future of Amazon's publisher monetization platform and have a significant impact on the business. Key job responsibilities * Lead the Stores Supply Science team and Applied Science Engineering teams as a direct manager, setting the technical vision and implementation, managing performance, and developing your team members * Work closely with product, engineering, and business stakeholders to define the technical roadmap and ensure the delivery of high-impact solutions * Represent APM Stores Science across the broader Ads science community * Identify new opportunities to leverage data and advanced analytics to unlock value for Amazon's publishing partners * Foster a culture of innovation, agility, and customer obsession within your teams A day in the life As the

Applied Science Operations Lead , Fauna New York, New York, USA We are seeking an Applied Science Operations Lead to serve as a strategic partner to the Director of Applied Science. This is a high-agency role at the intersection of science strategy and operational excellence. You will shape how our Applied Science organization structures its research portfolio, allocates resources across workstreams, and delivers on its most ambitious goals. This is not a coordination role. You will independently identify the highest-leverage problems facing the science organization, develop frameworks for solving them, and drive outcomes. You will co-author the science strategy, build the operational rhythms that keep the organization focused, and represent Applied Science to cross-functional partners. The right candidate brings deep scientific fluency, strong judgment about where to invest, and the operational instincts to turn strategy into execution. Key job responsibilities - Structure and manage the Applied Science portfolio - ensure workstreams are well-defined, resourced, and progressing. Identify gaps, redundancies, and reallocation opportunities across the research agenda. - Serve as a thought partner to the Director of Applied Science on research direction, hiring priorities, investment tradeoffs, and organizational design. - Author key documents - science strategy narratives, investment cases, org-level roadmaps, and leadership updates. These are persuasive artifacts that shape decisions, not status reports. - Design and own the cadences that keep the science org aligned - planning cycles, review forums, cross-team syncs. Own the structure, not just the logistics. - Act as the primary interface between Applied Science and partner

Applied Scientist, Ads Measurement Science New York, New York, USA The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As an Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. Key job responsibilities Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems Disambiguate problems to propose clear evaluation frameworks and success criteria Work autonomously and write high quality technical documents Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production Partner closely with other scientists to deliver large, multi-faceted technical projects Share and publish works with the broader scientific community through meetings and conferences Communicate clearly to both technical and non-technical