- Amgen (South San Francisco, CA)
- …Join us and transform the lives of patients while transforming your career. ** Principal Scientist - Clinical Pharmacology, Modeling & Simulation** **What you ... Modeling & Simulation Department at Amgen is seeking a Principal Scientist . In this vital role, you...Quantitative Systems Pharmacology (QSP) modeling - integrated with emerging Machine Learning and Generative AI approaches -… more
- Unity Technologies (San Francisco, CA)
- …**What we're looking for** + Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning , Robotics, or a related field - or equivalent practical ... **San Francisco, CA, USA** ** Principal Applied Scientist ** Location San Francisco,...Unity or other 3D engines. + Background in reinforcement learning , planning, or agentic systems. + Experience working with… more
- Amazon (San Francisco, CA)
- …team is looking for a passionate, talented, and inventive Principal Applied Scientist with a strong deep learning and generative AI background, to focus ... responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and… more
- Merck (South San Francisco, CA)
- …seeking an exceptional and experienced scientist in the role of Associate Principal Scientist in the South San Francisco Discovery Biologics group. The ... qualified candidate will be a scientist with a breadth and depth of expertise in...Skills:** Antibody Discovery, Drug Discovery Process, High-Throughput Screening, Innovation, Machine Learning (ML), Microfluidics, Molecular Biology Techniques,… more
- Gilead Sciences, Inc. (Foster City, CA)
- …rationale, and patient stratification, etc. + Design and apply statistical techniques and machine learning algorithms to enable the discovery and evaluation of ... **Job Description** We are seeking a highly talented and motivated Principal Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics… more
- Abbott (Alameda, CA)
- …team and responsible for analyzing real-world data to generate insights and develop machine learning models that drive the development and optimization of ... people in more than 160 countries. **The Opportunity:** Our Principal Data Scientist will work out of...trees, simulation, and scenario modeling. + Develop and validate machine learning models and algorithms to apply… more
- Intuit (San Francisco, CA)
- …areas. + Utilize rigorous causal inference techniques, advanced statistical modeling, and machine learning to extract actionable insights from complex datasets. ... growth. + Demonstrated expertise in causal inference techniques, statistical modeling, machine learning , and experimental design. Technical Proficiency: +… more
- Amazon (San Francisco, CA)
- …in Java, C++, Python or related language - 5+ years of building machine learning models or developing algorithms for business application experience - ... AI pioneers to lead key initiatives in robotic intelligence. As a Principal Applied Scientist , you'll spearhead the development of breakthrough foundation… more
- Genentech (South San Francisco, CA)
- …We are seeking a highly motivated and experienced Medicinal Chemist (Senior Principal Scientist ) to join our innovative research and development team. ... and ligand-based drug design to guide peptide modifications. + Familiarity with machine learning and AI-driven platforms for predicting peptide properties,… more
- Genentech (South San Francisco, CA)
- …Veterinary Pathology + Expertise in the application of digital pathology, image analysis, machine learning , and/or computer vision to pathology and biology + 10+ ... for the Translational Safety Digital Pathology group. The successful Sr Principal Sci-Pathologist candidate will lead efforts focused on driving applications for… more
- AbbVie (San Francisco, CA)
- …results and influence change. + Experience with deep technical diligence on machine learning capabilities. + Prior experience in external partnerships and ... competitive landscape at a major pharma company or biotechnology organization. + Strong problem-solving mindset and comfort and ability to create structure from ambiguity. + Excellent executive communication and stakeholder-management skills with a proven… more