Data Scientist

We're hiring on behalf of a Haystack partner!

The Role

• Provide technical leadership to advance data-driven and AI-based approaches for cell line development, upstream process development, and genetic combination analysis.

• Develop and operationalize predictive models and scalable MLOps workflows using a scientific data platform.

• Lead cross-functional projects in partnership with R&D, IT, Quality, and Regulatory teams to enable compliant, data-driven decision making.

• Develop and apply advanced ML and statistical models to support mammalian cell line and upstream process R&D.

• Design scalable data engineering pipelines connecting lab instruments, electronic lab notebooks, and analytics layers.

What You'll Need

• PhD or Master’s degree in Bioinformatics, Computational Biology, Data Science, Biotechnology, or a related field with several years of hands-on experience applying machine learning and data analytics in life sciences or biopharma.

• Strong programming skills in Python, experience with SQL, and modern ML frameworks.

• Experience in building data pipelines (Linux, Docker, CI/CD).

• Ability to work across disciplines and build strong working relationships with IT, scientists, and engineers.

• Demonstrated ability to shape ways of working and technical standards.

• Proficient English language, German is a plus.

What's On Offer

• Competitive salary

• Opportunity to work on cutting-edge challenges in the life sciences industry.

• Collaborative and innovative work environment.

• Professional development and continuous improvement opportunities.

Apply via Haystack today!