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Data Scientist - Translational Research

Job in 4040, Basel, Kanton Basel-Landschaft, Switzerland
Listing for: CTC Resourcing Solutions
Full Time position
Listed on 2026-10-26
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 110000 CHF Yearly CHF 90000.00 110000.00 YEAR
Job Description & How to Apply Below

Our client is a leading global player in the Pharmaceutical industry with global headquarters in Basel, Switzerland. They are undergoing a transformation with respect to culture and outside perception. The organisation focuses on novel therapies in Oncology and Ophthalmology and is also currently developing a world-leading pipeline in Neuroscience and Dermatology with one of the strongest pipelines of Phase II/III studies in the world.

We are currently looking for a:

Data Scientist and Translational Research, 6-month contract, Basel Main Tasks:
  • Approaching model multi-modal clinical data to identify biomarkers predictive of disease progression and treatment response, and to nominate novel therapeutic target hypotheses
  • Developing and applying a portfolio of pre-clinical models derived from internal and public data to departmental projects
  • Working closely with a core team of Translational Research & Data Science scientists fluent in wet and dry lab practices
  • Actively participating on interdisciplinary teams to model biology and guide impactful decision-making
  • Build alliances with external partners at top healthcare institutions
Your Profile:
  • Relevant working/residency permit or Swiss/EU-Citizenship required
  • Demonstrated working knowledge and application of statistics and data modeling to large scale life-sciences data
  • Proficiency in R/Python and competency working in a Linux environment
  • Hands-on experience applying AI and machine learning methods to scientific or R&D data, including large language models and agentic workflows
  • Hands-on experience in integration of large multi-omics data (genomics, transcriptomics, proteomics and metabolomics) to answer key scientific questions related to understanding disease
  • Hands-on expertise across transcriptomics, genetics, and proteomics, including single-cell and bulk RNA-seq, spatial transcriptomics, CITE-seq, CyTOF, and imaging mass cytometry
  • Hands-on industry experience modeling biomedical research data
  • Experience working with or fine-tuning foundation models, for example in biology, chemistry or clinical data (Desirable)
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