{"schemaVersion":"jobsearcher.job.v1","id":"e0ae04aafc5e767797ccbbf1","url":"https://jobsearcher.com/jobs/e0ae04aafc5e767797ccbbf1","canonicalUrl":"https://jobsearcher.com/jobs/e0ae04aafc5e767797ccbbf1","title":"Machine Learning Engineer – Predictive Modeling & Generative AI","description":"Job Title : Machine Learning Engineer – Predictive Modeling & Generative AIPay Rate : $74/hr on W2Location : San Francisco, CA ( 100% Remote )Duration : 14 Month Contract with a possible extensionPosition SummaryWe are seeking a contractor with a background combining AI rapid prototyping and Predictive Modeling to support the DAISAE platform and predictive analytics sub teams within the RDE 9 program. This role focuses on co-developing shared data and technical foundations (e.g. Ontologies, Knowledge Graphs), prototyping agentic AI capabilities, and advancing predictive models for drug safety risk prediction across the product lifecycle.Key Responsibilities• AI Prototyping & MCP Tool Development: Rapidly explore, evaluate, and prototype emerging AI tools and agentic capabilities, specifically developing MCP tools and AI agent integrations for DAISAE.• Predictive Modeling: Build and refine predictive models using multi-modal datasets (including in vitro, in vivo, omics, clinical trial data, real-world data (RWD), and spontaneous safety reports) to enable risk prediction from early molecule-level evaluation to late-stage and post-marketing patient safety.• Architecture & Platform Design: Translate feasibility findings and prototype evaluations into concrete architectural design and platform requirements for shared data and technical foundations.• Co-Development & Governance Collaboration: Work in an agile way to prototype reusable technical capabilities before transitioning components to RDT (Roche Digital Tech) for formal validation, compliance, and production rollout.• Cross-Functional Alignment: Collaborate with data scientists, safety scientists, and RDT technical partners to ensure technical execution aligns with business priorities.Qualifications & ExperienceEducation: MSc or PhD in Data Science, Computer Science, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or a related quantitative field.Technical Expertise:• Strong expertise in predictive modeling, machine learning, and AI prototyping.• Hands-on experience developing agentic AI systems, LLM tools, and MCP tools.• Proficiency in handling biomedical datasets (omics, clinical trials, RWD, or in vitro/in vivo data).• Agile prototyping mindset with software engineering skills tailored for data science.Domain Knowledge:• Background in pharmacovigilance, drug safety, toxicology, or quantitative risk management is highly desirable.","company":"Sharp Decisions","rawCompany":"sharp decisions","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-31T07:52:28.813Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"19-1029.01","title":"Bioinformatics Scientists","slug":"bioinformatics-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541714","title":"Research and Development in Biotechnology (except Nanobiotechnology)","slug":"research-and-development-in-biotechnology-except-nanobiotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer – Predictive Modeling & Generative AI","description":"Job Title : Machine Learning Engineer – Predictive Modeling & Generative AIPay Rate : $74/hr on W2Location : San Francisco, CA ( 100% Remote )Duration : 14 Month Contract with a possible extensionPosition SummaryWe are seeking a contractor with a background combining AI rapid prototyping and Predictive Modeling to support the DAISAE platform and predictive analytics sub teams within the RDE 9 program. This role focuses on co-developing shared data and technical foundations (e.g. Ontologies, Knowledge Graphs), prototyping agentic AI capabilities, and advancing predictive models for drug safety risk prediction across the product lifecycle.Key Responsibilities• AI Prototyping & MCP Tool Development: Rapidly explore, evaluate, and prototype emerging AI tools and agentic capabilities, specifically developing MCP tools and AI agent integrations for DAISAE.• Predictive Modeling: Build and refine predictive models using multi-modal datasets (including in vitro, in vivo, omics, clinical trial data, real-world data (RWD), and spontaneous safety reports) to enable risk prediction from early molecule-level evaluation to late-stage and post-marketing patient safety.• Architecture & Platform Design: Translate feasibility findings and prototype evaluations into concrete architectural design and platform requirements for shared data and technical foundations.• Co-Development & Governance Collaboration: Work in an agile way to prototype reusable technical capabilities before transitioning components to RDT (Roche Digital Tech) for formal validation, compliance, and production rollout.• Cross-Functional Alignment: Collaborate with data scientists, safety scientists, and RDT technical partners to ensure technical execution aligns with business priorities.Qualifications & ExperienceEducation: MSc or PhD in Data Science, Computer Science, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or a related quantitative field.Technical Expertise:• Strong expertise in predictive modeling, machine learning, and AI prototyping.• Hands-on experience developing agentic AI systems, LLM tools, and MCP tools.• Proficiency in handling biomedical datasets (omics, clinical trials, RWD, or in vitro/in vivo data).• Agile prototyping mindset with software engineering skills tailored for data science.Domain Knowledge:• Background in pharmacovigilance, drug safety, toxicology, or quantitative risk management is highly desirable.","datePosted":"2026-10-31T07:52:28.813Z","dateModified":"2026-10-31T07:52:28.813Z","hiringOrganization":{"@type":"Organization","name":"Sharp Decisions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e0ae04aafc5e767797ccbbf1"},"url":"https://jobsearcher.com/jobs/e0ae04aafc5e767797ccbbf1"}}