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 Pfizer’s 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 Pfizer’s 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 and Generative AI tools 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 (incl. NLP/RAG, 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, and generative applications via well‑developed analysis and evaluation plans (e.g., DeepEval, TruLens, RAGAS, LangSmith, Bayesian approaches).

• Ensure Pfizer methodology remains current through knowledge‑sharing 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, multi‑dimensional problems, including clinical 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 in Python (e.g., FastAPI, LangChain/LangGraph, Pydantic) and SQL; familiarity with modern data/ML tooling (e.g., Dataiku, Snowflake). 

• Experience with cloud technologies (preferably AWS, Azure) and MLOps (GitHub Actions, Docker, MLflow).

• Experience with Large Language Models (LLMs), including prompting, retrieval, evaluation, and fine‑tuning.

• 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 with LLM training/tuning, including reinforcement learning approaches (GRPO, PPO, RLVR) and evaluation frameworks. 

• Demonstrated success leading small, cross‑functional 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

Purpose 

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.  

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility  

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!  

Equal Employment Opportunity 

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Disability Inclusion

Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!

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