Software Guidance & Assistance, Inc., (SGA), is searching for
an AI Data Engineer/Predictive Modeling Contractor for a 12 W2
contract assignment with one of our premier
Pharmaceutical clients in
South San Francisco, CA.
Responsibilities :
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.
- 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 firm's DT (firm's Digital Tech) for formal validation, compliance, and production rollout.
- Cross-Functional Alignment: Collaborate with data scientists, safety scientists, and firm's DT technical partners to ensure technical execution aligns with business priorities.
Required Skills:
- MSc or PhD in Data Science, Computer Science, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or a related quantitative field.
- 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.
- 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.
- #LI-SM2
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SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
