Manager, Data Scientist

As a member of our AI/ML Quantitative & Digital Sciences (AQDS) team you will:

• Generate insights using advanced AI/ML techniques from Pfizers internal and external data with the focus on clinical development.

• Partner with clinical statisticians data scientists clinical development leads and evidence teams to collaborate effectively on the application of AI/ML techniques to impact Pfizers portfolio under the guidance of the AQDS function lead.

• Collaborate with Pfizer teams to support decision making and implementation of AI/ML models (e.g. Generative AI Predictive AI and Knowledge Graphs).

• Work with a team of data scientists to develop test and validate AI/ML andGenerative AItools for use across multiple therapeutic areas;build and deploy services via FastAPI and orchestration on platforms such as Dataiku/Snowflake.

• Work with internal and external teams to bring the latest AI/ML solutions and technologies to Pfizer.

Position Responsibilities

• Collaborate with key therapy areas (e.g. Immunology & Inflammation Oncology Internal Medicine) to identify scientific problems map data sources select and implement AI/ML methods ( knowledge graphs and document processing) and convey insights to clinical and operational teams.

• Review and supervise the full lifecycle from data collection/aggregation through model building and deployment to ensure robust performance for predictive classification andgenerativeapplications via welldeveloped analysis andevaluationplans ( RAGAS LangSmith Bayesian approaches).

• Ensure Pfizer methodology remains current through knowledgesharing on new tools and vendors in AI/ML including agent frameworks (e.g. LangChain/LangGraph AutoGen Crew AI Pydantic AI) and reinforcement learning for foundational models (e.g. GRPO PPO RLVR).

• Translate clinical data and analytics needs and priorities into tactical projects for AQDS to lead and advance clinical development.

Basic Qualifications

• Advanced degree (MEng/MSc or PhD)in computer science Computational Biology Bioinformatics Biostatistics Applied Mathematics Scientific Machine Learning Physics Operations Research or Biomedical Engineering and a minimum of 3 years related data/analytics experience in a pharma environment or biotech/tech industry.

• Experience developing and applying AI/ML to complex multidimensional problems includingclinical data and document analysis.

• Clear understanding of the opportunities and challenges presented with applying AI/ML to business problems within the life sciences industry.

• Proven ability to translate customer needs into AI/ML solutions.

• Strong programming skills inPython( LangChain/LangGraph Pydantic) and SQL; familiarity with modern data/ML tooling ( Snowflake).

• Experience with cloud technologies (preferablyAWS Azure) and MLOps (GitHub Actions Docker MLflow).

• Experience withLarge Language Models (LLMs) includingprompting retrieval evaluation and finetuning.

• Excellent written and verbal communication skills.

Preferred Qualifications

• Hands-on experience shepherding early or late-stage clinical development projects from study design through submission.

• Experience applying advanced analytics and AI/ML to clinical trials.

• Experience withLLM training/tuning includingreinforcement learning approaches (GRPO PPO RLVR)and evaluation frameworks.

• Demonstrated success leading small crossfunctional teams and working across time zones.

• Evidence of external impact (e.g. publications talks) and collaboration with internal/external partners.

Please apply by sending your CV and a motivational letter in English

Work Location Assignment:Hybrid