Translational Bioinformatics Scientist: Multi-Omics & AI

K-Recruiting Life Sciences; Basel; On-site; CHF 110,000 - 180,000; Full time

Job summary

K-Recruiting Life Sciences seeks a data science specialist to advance translational research in Basel. You will apply statistical and computational methods to multimodal clinical datasets, integrate multi-omics, and develop preclinical models to generate actionable insights.

The role requires strong R/Python, Linux, and ML experience, with a track record in biomedical data and collaboration across interdisciplinary teams.

Qualifications

• Degree in Data Science, Bioinformatics, Computational Biology, Biostatistics, Life Sciences, Biomedical Sciences, or related discipline.
• Practical knowledge of statistics and data modeling on large-scale biomedical datasets.
• Experience integrating multi-omics datasets (genomics, transcriptomics, proteomics, metabolomics).
• Proven experience applying AI/ML to biomedical/R&D datasets.
• Experience with clinical data in industry or translational research with responsible data handling.
• Excellent English written and spoken communication.
• Experience fine-tuning foundation models for biological/clinical applications.
• Familiarity with deep-learning methods and foundation models in biology/clinical data.
• Strong collaboration and cross-functional teamwork.

Responsibilities

• Apply statistical and computational approaches to model large-scale biomedical datasets to identify biomarkers.
• Integrate multi-omics datasets to investigate disease mechanisms and support translational research.
• Develop computational models using internal/public data to generate actionable biological insights.
• Apply AI/ML to scientific, biomedical, or R&D data to support early drug development.
• Leverage AI tools, including LLMs and agentic workflows, to accelerate data analysis.
• Collaborate with Translational Research and Data Science teams to translate complex datasets into insights.
• Contribute to cross-functional drug discovery projects with data-driven strategies.
• Handle clinical datasets with responsible data governance and reproducibility.
• Communicate findings through high-quality visualizations, reports, and presentations.
• Disseminate findings via publications in collaboration with external partners.

Skills

R / Python

Linux

Machine learning

AI tools (LLMs)

Foundation models

Single-cell RNA-seq

Spatial transcriptomics

Data integration

English communication

Team collaboration

Education

Degree in Data Science, Bioinformatics, Computational Biology, Biostatistics, Life Sciences, Biomedical Sciences or related discipline

Tools

R

Python

Linux

Git

Jupyter

Docker

Kubernetes

Job description

K-Recruiting Life Sciences seeks a data science specialist to advance translational research in Basel. You will apply statistical and computational methods to multimodal clinical datasets, integrate multi-omics, and develop preclinical models to generate actionable insights.

The role requires strong R/Python, Linux, and ML experience, with a track record in biomedical data and collaboration across interdisciplinary teams.