Biomarker Data Scientist (all gender)

At Bayer, we're visionaries driven to solve the world's toughest challenges and strive for a world where 'Health for all, Hunger for none' is a reality.

As a Biomarker Data Scientist, you will apply advanced statistical methods to clinical and biomarker studies, driving exploratory and confirmatory biomarker analyses across clinical trials, omics, and real-world data.

Your Tasks and Responsibilities:

• Apply advanced statistical methods to clinical and biomarker studies
• Drive exploratory and confirmatory biomarker analyses across clinical trials, omics, and real-world data
• Explore, prototype, and validate innovative analytical methods
• Shape statistical strategy by contributing to analysis plans, study protocols, and sample size calculations
• Streamline and automate biomarker analyses and reporting outputs
• Develop and maintain analytical code, pipelines, tools, and prototype applications
• Create training materials on statistical and machine learning methods
• Take ownership of quantitative tasks while working with cross-functional partners

Who You Are:

• Hold an MSc or PhD in statistics, biostatistics, computer science, bioinformatics, or a related field
• Bring several years of hands-on data science experience in pharma, biotech, or a comparable highly regulated environment
• Combine strong programming skills in R and/or Python with solid SQL knowledge and hands-on experience in reproducible data preparation, analysis, modeling, and machine learning workflows
• Have a strong track record of working with large, complex datasets
• Understand software design principles and know how to build reproducible analysis workflows and model pipelines

What We Offer:

• Competitive salary between 77,300€ and 93,800€ per year (full-time) plus a variable component
• Hybrid work models
• Family-friendly benefits, including company daycare centers and support in finding childcare
• Professional growth opportunities through learning and development programs
• Health awareness and self-care measures
• Inclusive work environment