US_Data Analyst_Research I_CO

Motion Recruitment; South San Francisco (CA); Sur place; USD 83 000 - 124 000; Plein temps

Résumé du poste

Motion Recruitment in South San Francisco seeks a contractor for US_Data Analyst_R&D I_CO to advance AI prototyping and predictive modeling for drug safety risk prediction. The role focuses on co-developing data foundations, prototyping agentic AI capabilities, and shaping platform requirements for scalable analytics across the product lifecycle.

The candidate will collaborate with data scientists, safety scientists, and Roche Digital Tech partners to prototype reusable capabilities and ensure

Qualifications

• MSc or PhD in data-related quantitative field.
• Strong expertise in predictive modeling, ML, and AI prototyping.
• Hands-on experience building agentic AI systems and LLM/MCP tools.
• Proficiency with biomedical datasets (omics, clinical trials, RWD).
• Agile prototyping mindset with software engineering for data science.

Responsabilités

• AI prototyping & MCP tool development for DAISAE.
• Predictive modeling using multi-modal datasets for risk prediction across product lifecycle.
• Architectural design for shared data foundations and platforms.
• Collaborate with RDT and cross-functional teams to prototype reusable capabilities.
• Coordinate with data scientists, safety scientists, and partners to align with priorities.

Connaissances

Predictive modeling

AI prototyping

Agentic AI systems

LLM tools

MCP tools

Biomedical datasets

Formation

MSc or PhD in Data Science/CS/Computational Biology/Bioinformatics/Biostatistics/Epidemiology

Description du poste

Job Title: US_Data Analyst_Research I_CO

Job Location: South San Francisco California 94080

Job Duration: 12 months with possible ext

Position Summary

We are seeking a contractor with a background combining AI rapid prototyping and Predictive Modeling to support the DAISAE platform and predictive analytics subteams 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 & Experience

Education

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.

Soft Skills

• "AI native" approach to problem-solving with adaptability to fast-moving frameworks.
• Proactive attitude and strong communication skills suitable for global matrix team settings.