The Life Science Career Network

CTC are specialised industry experts who can help companies source the best talent and provide reliable HR and consulting services, support varied candidates in finding promising career opportunities and offer the latest in skill development training programmes.

Our client, an innovative Swiss bio-pharmaceutical company, is seeking an Genomics Data Scientist for a 12-month contract in the Basel area.

Main Responsibilities:

  • Implements and applies cutting-edge bioinformatics approaches, staying up to date with new genomics data analysis methodologies published in the field.
  • Develops novel genomics data processing pipelines for RNAseq, scRNAseq, Spatial Transcriptomics, and other genomics technologies.
  • Analyzes genomics data and contextualizes results to advance understanding of drug mechanism of action and pharmacodynamics in clinical trials and pre-clinical models.
  • Mines and re-analyzes published and publicly available data to support genomics study design and interpretation.
  • Contributes to genomics experiment design to ensure feasibility of the analysis.
  • Collaborates with Translational Data Science, Scientific Computing teams, and members of the Genomics Biomarker Lab.
  • Supports Genomics Biomarker Lab with genomics data analysis and reporting.
  • Analyzes and documents human genomics biomarker data in line with best practices, GDPR, and regulatory requirements.
  • Presents and publishes genomics data analysis to internal and external parties.

Qualifications and Experience:

  • MSc or PhD in a relevant computational science discipline (genomics, bioinformatics, systems biology, or similar).
  • A minimum of 3 years (post PhD) to 6 years (post MSc) of experience in the role focused on genomics data processing and analysis using diverse tools/methods to answer scientific questions.
  • Experience in the pharmaceutical industry setting, particularly in the field of CNS, Immunology, and Fibrosis, would be advantageous.
  • Proven expertise (e.g., publications, software packages, public repositories) in data analysis and interpretation in at least two of the following: RNAseq, scRNAseq, spatial transcriptomics, and other genomics technologies.
  • Extensive knowledge of programming languages R, Bash, and experience with documentation platforms such as GitLab. Working knowledge of Python, AWS cloud infrastructure, Nextflow, nf-core, and Docker would be advantageous.
  • Demonstrated ability to work independently as well as part of a team. Efficient interaction with wet-lab colleagues is essential.
  • Excellent communication, documentation skills, and attention to detail are key to this position.

If you'd like to learn more about CTC and the outlined opportunity, please contact us using the 'apply now' button or by emailing