Translational Biomarker Data Scientist (80% Maternity)

Gi Life Sciences Basel; Basel; Vor Ort; CHF 90.000 - 130.000; Teilzeit

Zusammenfassung

Gi Life Sciences Basel invites applications for a Translational biomarker data scientist on a maternity cover basis (80% FTE) in Basel. You will join a cross-disciplinary team applying data-driven approaches to biomarker discovery and disease progression modeling.

By collaborating with Translational Research and Data Science experts, you will develop multi-omics data analyses, contribute to publications, and support drug discovery in early development.

Qualifikationen

• Experience modeling biomedical data in life sciences.
• Statistics and data modeling applied to large datasets.
• Integrating multi-omics data (genomics, transcriptomics, proteomics, metabolomics).
• Clinical data handling and privacy-aware processes.
• AI/ML methods in R&D datasets; use of AI tools incl. LLMs.
• Experience with agentic workflows to accelerate analysis.
• Proficiency in R and/or Linux environments.
• Reproducible research with visualization and reporting.
• Collaborative, team-oriented mindset with problem-solving approach.

Aufgaben

• Model multi-modal clinical data to identify biomarkers and targets.
• Develop pre-clinical models from internal/public datasets.
• Collaborate with Translational Research and Data Science teams.
• Partner on interdisciplinary teams to drive decision-making.
• Collaborate with external partners and publish findings.

Kenntnisse

Life sciences data

Statistics & modeling

Multi-omics data

Clinical data handling

AI/ML methods

LLMs & agentic workflows

R & Linux

Reproducible research

Team player

Tools

R

Linux

Jobbeschreibung

Gi Life Sciences Basel invites applications for a Translational biomarker data scientist on a maternity cover basis (80% FTE) in Basel. You will join a cross-disciplinary team applying data-driven approaches to biomarker discovery and disease progression modeling.

By collaborating with Translational Research and Data Science experts, you will develop multi-omics data analyses, contribute to publications, and support drug discovery in early development.