Highlights
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. 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.
Numbers & Facts
| Location | South San Francisco, CA |
| Industry | Management Consulting Services |
| Salary | $41.62–$74.14 Per Hour |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | https://www.iconma.com/ |
Description
Our Client, a Biotech company, is looking for a Predictive Modeling Contractor (RDE 9 / DAISAE) for their South San Francisco, CA location.
Responsibilities:
Requirements:
Why Should You Apply?
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 (Client 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.
Requirements:
- 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.
Why Should You Apply?
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
Benefits
401K, Employee Referral Program, Life Insurance
About Company
ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.
- Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.
- Certified Woman-Owned Business Enterprise (WBE); certified by Women’s Business Enterprise National Council, National Women Business Owners Corporation (NWBOC); and California Public Utilities Commission (CPUC).
- Founded in 2000
- 2000+ Employees
The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.