Biomarker Data Scientist

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 within the Digital Health & Real World Sciences team, you will develop innovative solutions to enhance the analysis of large datasets and diverse data types, such as clinical trial data, biomarkers, digital markers, and real-world data (RWD).

Your primary responsibilities will include:

• Performing advanced statistical analyses for clinical and biomarker studies
• Executing exploratory and confirmatory biomarker analyses across clinical trial data, omics data, and real-world data sources
• Evaluating and prototyping advanced analytical methods
• Supporting statistical evaluation strategies and analysis plans
• Developing and implementing standard processes for the analysis of routine biomarker assessments
• Creating and contributing to training materials on statistical and machine learning methods

To be successful in this role, you should possess:

• A Master's or Ph.D. degree in statistics, biostatistics, computer science, bioinformatics, or a related field
• Strong programming skills in R and/or Python
• Experience working with large and complex datasets
• Solid clinical data domain expertise
• Familiarity with real-world data sources and methodologies
• Good understanding of software design principles

The salary range for this position is $104,480.00 - $156,720.00 per year, with additional compensation and benefits.