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# Senior Lead Data Scientist (all genders)

- **Company:** Bayer AG
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Salary:** €138,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Computer Programming, Databases, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Electronic Medical Records, Information Technology, Virtual Agents
- **Published:** August 11, 2026
- **Apply:** https://career.bayer.ch/en/?search_result=false&8f_pid=562949978164965

## About the Role

* You hold a PhD (preferred) or MSc in Data Science, Computational Science, (Bio-)Informatics, Mathematics, Statistics, Physics, Engineering, Epidemiology, Econometrics, Machine Learning, or a related discipline
 * You bring extensive professional experience in Data Science, Advanced Analytics, or a related field Experience within healthcare, life sciences, or the pharmaceutical industry is highly valued
 * You have a proven track record of leading complex analytical projects, influencing strategic decisions, and supporting the development of technical teams
 * You are an expert in Real-World Data (RWD) and have experience designing scalable analytical solutions, defining data models, assessing data feasibility, and selecting appropriate data sources to answer complex research questions
 * You bring deep expertise in Statistical Analysis, including causal inference, advanced adjustment methods, sensitivity analyses, and the development of scientifically robust analytical approaches aligned with regulatory expectations
 * You have strong capabilities in Machine Learning, AI, and Software Engineering, including the development of reusable models, pipelines, AI-enabled workflows, and production-ready analytical solutions that create business value
 * You possess hands-on expertise in Data Science Infrastructure, Data Modeling, Ontologies, and Programming, with advanced proficiency in Python and/or R, SQL, modern analytical platforms, reproducible workflows, and standardized data models such as OMOP CDM
 * You are a collaborative communicator with strong analytical thinking, stakeholder management, problem-solving, adaptability, and innovation skills, and you communicate fluently in English, both written and spoken

## Description

The Senior Lead Data Scientist within RWDS&AI leads a portfolio of advanced analytics activities using real-world data (RWD), statistical methods, machine learning, and AI to generate evidence and insights that inform product commercialization, lifecycle management, and strategic decisions across Global Medical & Evidence. The role combines deep technical expertise with scientific leadership, collaborating cross-functionally across GME, R&D Data Science, Clinical Development, HEOR and Market Access to design innovative analytical solutions, accelerate evidence generation, and establish RWDS&AI as a center of excellence for cutting-edge real-world data science. RWD sources include administrative claims databases, electronic medical records, registries, specialty pharmacy data, digital health technologies and device data, and safety data., * Lead and shape high-impact data science initiatives across the full analytics lifecycle, from study design and data feasibility assessments to advanced analyses, interpretation, and communication of insights using real-world data, statistical methods, machine learning, and AI

 * Design and implement innovative analytical solutions that advance real-world evidence generation, strengthen scientific rigor, and support product commercialization, lifecycle management, and healthcare decision-making
 * Build and scale AI-enabled analytical capabilities by developing vendor-agnostic AI agent toolkits, reusable machine learning components, and intelligent workflows that accelerate evidence generation
 * Drive the responsible adoption of AI by establishing practical validation approaches, governance principles, and quality standards that align with scientific, ethical, and regulatory expectations
 * Develop robust evaluation frameworks for AI-powered analytical workflows, ensuring transparency, traceability, reliability, and appropriate risk mitigation when working with complex real-world data
 * Act as a trusted scientific and technical leader, providing guidance, mentorship, and coaching to colleagues while fostering a culture of collaboration, continuous learning, and innovation
 * Partner closely with cross-functional teams, including Global Medical & Evidence, Product Teams, R&D Data Science, Clinical Development, HEOR, Market Access, and external collaborators, to translate business and scientific questions into actionable evidence and insights
 * Contribute to the strategic growth of RWDS&AI by advancing data science methodologies, AI/ML capabilities, infrastructure priorities, and best practices, while representing the organization through scientific collaborations, publications, and conference presentations, This is your opportunity to tackle the world's biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.


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