Senior Lead Data Scientist (all genders)
BayerJobsCloseBy Editorial Insights
At Bayer in Berlin the Senior Lead Data Scientist will steer a portfolio of real-world data science initiatives, fusing technical excellence with scientific leadership to accelerate evidence generation for product commercialization, lifecycle management and strategic decisions across Global Medical & Evidence. The ideal candidate holds a PhD or MSc and brings deep RWD expertise, causal inference, machine learning and AI, production-ready pipelines, and hands-on Python or R with OMOP CDM. You will mentor colleagues, drive governance and validation standards, and collaborate across Global Medical & Evidence, R&D Data Science, Clinical Development, HEOR and Market Access. To apply, emphasize quantifiable end-to-end projects, data sources and tools, leadership impact, collaboration, and clear English communication, plus readiness for hybrid Berlin work.
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Senior Lead Data Scientist (all genders)
PURPOSE:
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.
YOUR TASKS AND RESPONSIBILITIES
• 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
WHO YOU ARE
• 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
WHAT WE OFFER
Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!
• We ensure your financial stability with a competitive salary between 109.800€ and 138.500€ per year (full-time) plus a variable component and a global equity-based cash plan. Your compensation is based on your qualifications, skills, and professional experience.
• Whether it’s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
• Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.
• We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
• We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor.
• We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.
Be You. Be Bayer.
#LI-AMSEMEA
YOUR APPLICATION
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.
Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
Location: Germany : Berlin : Berlin
Division: Pharmaceuticals
Reference Code: 877430