Lila Sciences jobs

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

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

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

Scientist – Research Computational Biology (ARIA) India - Hyderabad posted: Posted 30+ Days Ago

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

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

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

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

Senior Applied Scientist, Generative Artificial Intelligence (AI) Innovation Center Tokyo, JPN AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Generative Artificial Intelligence (AI) Innovation Center team at AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies leveraging cutting-edge generative AI algorithms. As an Applied Scientist, you'll partner with technology and business teams to build solutions that surprise and delight our customers. We're looking for Applied Scientists capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Collaborate with scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges - Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI - Create and deliver best practice recommendations, tutorials, blog posts, sample

Research Scientist - Robot Perception: GE Vernova Advanced Research Niskayuna posted: Posted 9 Days Ago

Medical Science Liaison Oncology | Emilia Romagna e Triveneto Italy - Milan posted: Posted Today

Process Development Senior Scientist - Synthetic Peptides, Oligonucleotides, ADCs US - California - Thousand Oaks posted: Posted 14 Days Ago

Chief Scientist, EO/IR Technologies San Diego, CA posted: Posted 30+ Days Ago

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

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

Data Science Analyst Bengaluru, India posted: Posted Yesterday

Bioinformatics Scientist India - Hyderabad posted: Posted 7 Days Ago

Postdoctoral Fellow-Discovery Proteomics US - California - Thousand Oaks posted: Posted 3 Days Ago

Director - Applied Science, Amazon Connect Seattle, Washington, USA The Amazon Connect Interactive AI and Engagement organization was formed in April 2025 to bring together Contact Lens, Q in Connect, and Flows/Lex into one organization, responsible for weaving native-AI across the Connect application experiences delivered to end-customers, agents, and managers/supervisors. We are reimagining customer engagement to enable companies to deliver proactive and personalized experiences (in websites, mobile apps, and traditional contact center channels including voice, messaging, and email) that discern and resolve end-customers' intent before problems ever arise. To succeed, we need a unified science strategy and approach to power 'AI-throughout' customer experiences that leverage humans in the loop when required to meet business goals. We seek to hire a Director of Applied Science who will define and execute that strategy, and organization required. This leader will push the technical boundaries in generative AI science, shaping the industry, while influencing and leading key product investments across Connect service teams and leadership. The business opportunity is substantial. We are executing to be the leader irrespective of the ultimate balance between proactive end-customer self-service and agent-assisted workloads. To do so, science innovation will be pivotal to help achieve our ambitious goals, differentiating Amazon Connect from our competitors. Key job responsibilities The Director of Applied Science will lead us to propose and deliver an organizational plan that is aligned to a unified science strategy. This science strategy will enable data-driven, AI-powered continuous optimization across self-service, agent assistance, and manager assistance workloads. This leader

Senior Scientist - Artificial Intelligence Niskayuna posted: Posted 30+ Days Ago

Health Science 5jobs Location not specified

Associate Scientist US - California - South San Francisco posted: Posted Yesterday