Job Details
Posted 28 October, 2026
Job Id: 632048
Data Analyst Research I
Job Description
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 DT (Digital Tech) for formal validation, compliance, and production rollout.
* Cross-Functional Alignment: Collaborate with data scientists, safety scientists, and DT 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.
Pay Rate Range: $60-71/hr depending on experience
Equal Opportunity Employer
We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
Fraud Alert
Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it’s from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.
