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.
Biomarker Data Scientist (all gender)
YOUR TASKS AND RESPONSIBILITIES
1. You apply advanced statistical methods to clinical and biomarker studies, including causal, Bayesian, time-series, and high-dimensional approaches, to generate meaningful scientific insights
2. You drive exploratory and confirmatory biomarker analyses across clinical trial, omics, and real-world data, helping to translate complex data into impactful outcomes
3. You explore, prototype, and validate innovative analytical methods by combining scientific literature with practical application
4. You shape statistical strategy by contributing to analysis plans, study protocols, sample size calculations, and methodological justification
5. You streamline and automate biomarker analyses and reporting outputs for reports, presentations, and publications, increasing efficiency and consistency
6. You develop and maintain analytical code, pipelines, tools, and prototype applications that enable study execution and advance digital statistical solutions
7. You create training materials on statistical and machine learning methods, helping others build confidence in clinical data analysis
8. You take ownership of both routine and complex quantitative tasks while working closely with cross-functional, external, and academic partners
9. You ensure the accurate and timely delivery of outsourced quantitative work, maintaining high quality standards throughout
WHO YOU ARE
10. You hold an MSc or PhD in statistics, biostatistics, computer science, bioinformatics, or a related field
11. You bring several years of hands-on data science experience, including some years in pharma, biotech, or a comparable highly regulated environment
12. You 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
13. You have a strong track record of working with large, complex datasets, from extraction and transformation to feature engineering and version-controlled delivery
14. You bring strong expertise in clinical data and a sound understanding of standards such as CDISC, randomized clinical trials, study design, and real-world data approaches in life sciences
15. You understand software design principles and know how to build reproducible analysis workflows and model pipelines while collaborating effectively with data and ML engineers
16. You confidently use AI-assisted coding tools and ideally know how to make models or analyses accessible through APIs or existing applications
17. You have experience developing and validating GxP-compliant analytical code and contributing to regulatory-relevant documentation, including protocols and SAPs
18. You are an independent, collaborative, and solution-oriented professional with strong communication, interpersonal, and problem-solving skills, paired with excellent English proficiency
WHAT WE OFFER
Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!
19. We ensure your financial stability with a competitive salary between 77.300€ and 93.800€ per year (full-time) plus a variable component. Your compensation is based on your qualifications, skills, and professional experience.
20. Hybrid work models: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
21. 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.
22. 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.
23. We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor.
24. We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.
This is a fixed-term position for 24 months.
Be You. Be Bayer.
#LI-AMSEMEA
Location:
Germany : Berlin : Berlin || Germany : North Rhine Westfalia : Bergkamen || Germany : North Rhine Westfalia : Leverkusen || Germany : North Rhine Westfalia : Wuppertal-Aprath || Germany : North Rhine Westfalia : Wuppertal-Elberfeld
Division:
Pharmaceuticals
Reference Code:
871159
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