Data Science Consultant - Precision Medicine

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Genedata, one of Danaher’s 15+ operating companies, our work saves lives – and we’re all united by a shared commitment to innovate for tangible impact.

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

The biopharmaceutical industry is undergoing a digitalization revolution, adopting data-driven R&D approaches to develop innovative therapies quicker. Genedata’s market-leading enterprise software is fueling this revolution, enabling leading biopharma, biotech, and CRDMO companies worldwide to automate processes and leverage biopharma R&D data analytics so they can find breakthrough therapies faster. Join this digital transformation and help scientists around the world accelerate the pace of biopharma R&D.

Learn about the Danaher Business System which makes everything possible.

Data Science Consultant – Precision Medicine you will be a key member of our dynamic team, empowered to have a significant impact on the continuous growth of our business. You will work with our partners in biopharma across the entire drug R&D value chain, achieving their vision of precision medicine through leveraging the full power of clinical, phenotype, molecular, and imaging data. This includes using your scientific and technical knowledge to solve real-world scientific challenges.

This position reports to the head of Customer Success Team and is part of Genedata Profiler, located in Basel.

In this role, you will have the opportunity to:

• Play a key role in Genedata Profiler Implementation projects, as a scientific expert providing consulting, business process analysis, and solution design.
• Scope and execute customer Data Science projects delivering results and presentations that meet the high standards our clients expect.
• Build and maintain strong relationships with customers, serving as their primary contact for scientific and technical matters.
• Collaborate with Sales to identify new opportunities and contribute to business growth.
• Share insights from customer interactions with internal teams including Sales, SW-Development, and Product Management.

The essential requirements of the job include:

• PhD or MS in bioinformatics, data sciences, health sciences, or related discipline, with strong foundations in both computational and life sciences.
• Excellent communication and presentation skills, with the ability to engage diverse audiences and simplify complex scientific concepts.
• Proficiency in scripting languages such as Python or R, and extensive experience analyzing multi-omics, biomarker, imaging, and clinical data — ideally within biopharma research.
• Strong project management abilities, with a track record of delivering high-quality within agreed timelines.
• Exceptional interpersonal skills and the ability to collaborate effectively within interdisciplinary teams, both internally and externally.

Travel, Motor Vehicle Record & Physical/Environment Requirements

• Regular travel within Europe (approximately once or twice per month).
• Occasional travel to the United States.

It would be a plus if you also possess previous experience in:

• Experience with biopharma R&D processes.
• Familiarity with interactive data visualization tools such as R Shiny or Python Dash.
• Experience identifying and developing new business opportunities in collaboration with commercial teams.

Genedata, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

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