We are seeking a scientifically curious, technically strong, and self-driven computational biologist to join our team. In this role, you will work at the intersection of data science and biology – driving target discovery and biomarker identification efforts through independent exploration of proprietary and public datasets, statistical modeling, and high-throughput analyses. You’ll contribute directly to our discovery efforts, supporting early-stage research and helping shape hypotheses that matter for patient outcomes.
This position is ideal for someone who thrives in a highly collaborative, mission-driven environment, with a strong foundation in biology and biomedical research, who brings complementary strong computational skills, and enjoys making sense of complex biological data.
WHAT YOU BRING TO THE TABLE
- Strong foundation in biology or biomedical sciences — you understand the context behind the data and can independently identify datasets or design analyses for target assessment, biomarker identification, and related applications.
- Proficiency in a programming language for data analysis — Python preferred, but R and others are acceptable – along with experience in navigating large-scale datasets using standard data science libraries such as NumPy, pandas, polars, scikit-learn, matplotlib/seaborn, or equivalent tools for statistical analysis, modeling, and data visualization.
- Relevant post-graduate experience in drug discovery or applied biomedical research, ideally in a biotech or industry setting is strongly preferred.
- Experience working in Linux environments, and with high-performance computing (HPC)or cloud platforms.
- Comfort with version control tools like GitHub/GitLab, and collaborative coding practices
- A solid background in statistics and a track record of applying statistical methods to biological or biomedical data.
WHAT YOUR MAIN TASKS WILL BE
- Analyze high-dimensional biological and biomedical datasets — including but not limited to transcriptomic, proteomic, imaging, and clinical data — to uncover and validate novel targets, biomarkers, or biological insights using statistical and machine learning approaches in close collaboration with interdisciplinary project teams.
- Independently identify, access, and integrate relevant public datasets (e.g., TCGA, GEO, Depmap) with proprietary data to support programs from target selection to early discovery.
- Develop and maintain reproducible pipelines for data processing and statistical analysis using best practices.
- Support research teams with robust, well-documented analysis workflows; contribute to the development of internal tools and infrastructure.
- Run large-scale analyses on high-performance computing clusters and cloud environments.
- Communicate findings clearly through visualizations, presentations, and collaborative discussions with wet-lab scientists and leadership.
APPLICATION DETAILS
Please submit your application including a letter of motivation and curriculum vitae with contact details of two referees by clicking the apply button below.
The minimum monthly gross salary for this position is EUR 4.285,71 based on a full-time position, which can be adjusted based on the candidate’s qualifications and experience.
