Translational Data Scientist (m/f/d)

nemensis AG; Basel; Vor Ort; CHF 110.000 - 170.000; Teilzeit

Zusammenfassung

nemensis AG is seeking a Translational Data Scientist (m/f/d) to bridge computational methods and translational research in Basel. You will work at the intersection of multi-omics data and AI to translate biological insights into decisions for drug discovery and early development.

The assignment lasts about 6 months as maternity cover, with a temporary placement. You will collaborate with interdisciplinary teams, handle clinical data in an industry setting, and apply statistics and data modeling

Qualifikationen

• Experience in the life sciences industry modeling biomedical research data.
• Proven application of statistics and data modeling to large-scale life-sciences datasets.
• Hands-on experience integrating multi-omics data (genomics, transcriptomics, proteomics, metabolomics) to answer key scientific questions.
• Responsible, hands-on handling of clinical data in an industry setting.
• Applied experience with AI, machine learning, large language models and agentic workflows for analysis and decision-making.
• Proficiency in R/Python and confidence in a Linux environment.
• Nice to have: experience with foundation models in biology, chemistry or clinical data.

Aufgaben

• Collaborate within interdisciplinary teams to translate biological insights into decisions across drug discovery and early-stage development.
• Build and apply pre-clinical models derived from internal and public data for departmental research projects.
• Model multi-modal clinical data using established and emerging approaches to uncover biomarkers of disease progression and treatment response, and shape new therapeutic target hypotheses.
• Partner with a core team of translational research and data science experts across wet-lab and dry-lab practices.
• Contribute to projects with external partners at renowned healthcare institutions, including opportunities to publish.

Kenntnisse

Life sciences

Statistics

Data modeling

Multi-omics

AI

ML

R/Python

Linux

Foundation models

Jobbeschreibung

Shape the Future of Drug Discovery Through Data

Ready to turn complex biomedical data into breakthroughs that matter? As Translational Data Scientist (m/f/d), you'll bridge computational methods and translational research working at the intersection of multi-omics data and AI.

• Assignment duration: approx. 6 months (maternity cover)
• Location: Basel
• Employment type: Temporary placement

About Our Client

For our client, an internationally active company in the pharmaceutical and life sciences sector based in Basel, we are looking for a Translational Data Scientist (m/f/d). Our client is known for its strong position in biomedical research and advances translational science through data-driven innovation.

Your Responsibilities

• Collaborate within interdisciplinary teams to translate biological insights into decisions across drug discovery and early-stage development
• Build and apply pre-clinical models derived from internal and public data for departmental research projects
• Model multi-modal clinical data using established and emerging approaches to uncover biomarkers of disease progression and treatment response, and shape new therapeutic target hypotheses
• Partner with a core team of translational research and data science experts across wet-lab and dry-lab practices
• Contribute to projects with external partners at renowned healthcare institutions, including opportunities to publish

Your Profile

• Experience in the life sciences industry modeling biomedical research data
• Proven application of statistics and data modeling to large-scale life-sciences datasets
• Hands-on experience integrating multi-omics data (genomics, transcriptomics, proteomics, metabolomics) to answer key scientific questions
• Responsible, hands-on handling of clinical data in an industry setting
• Applied experience with AI, machine learning, large language models and agentic workflows for analysis and decision-making
• Proficiency in R/Python and confidence in a Linux environment
• Nice to have: experience working with or fine-tuning foundation models, e.g. in biology, chemistry or clinical data