Research Scientist Computational Biology

Research Scientist Computational Biology The Position

We are looking for an outstanding computational biologist to join our mission to identify novel therapies for patients through computational analysis of multi-omics data. As a Research Scientist in the Cardio‑Renal‑Metabolic (CRM) computational biology team, you will work closely with experts across cardiovascular, liver, and other metabolic diseases. You will apply state‑of‑the‑art computational approaches to explore disease biology, identify novel therapeutic opportunities, and support drug discovery and translational research across the R&D pipeline.

Embedded in Boehringer Ingelheim's growing Computational Innovation department, you will help shape our future portfolio by generating data‑driven insights and enabling key decisions across the drug discovery pipeline.

Discover our Biberach site:

This position has a hybrid setup with approximately 2–3 days per week on site.

This position is part time eligible with 80 %.

• Apply state‑of‑the‑art in‑silico methods to omics data to identify and validate novel drug targets for CRM diseases and contribute computational analyses to our CRM research portfolio projects.
• Integrate diverse omics, genetics, phenotypic and clinical data to uncover disease biology and new therapeutic opportunities.
• Collaborate with therapeutic area scientists and cross‑functional teams.
• Present and discuss analysis results with project teams and stakeholders, including laboratory leads and scientists from partnering functions.
• Support the development of new computational methods and workflows.

• PhD in Computational Biology or a related field (e.g., Bioinformatics or Data Science), with first post‑PhD experience in an academic or industry setting.
• Extensive hands‑on experience with omics data analysis, statistical analysis and machine‑learning methods relevant to drug discovery.
• Proficiency in R or Python, with experience in version control systems (e.g., Git Hub or Bitbucket), and the application of FAIR data principles.
• Domain knowledge of cardio‑renal‑metabolic diseases is a plus.
• Excellent communication skills, including the clear presentation of technical topics.
• Fluency in English, both written and spoken.

As part of our commitment to transparency and fairness, salary information will be shared during the recruitment process. We also offer a comprehensive benefits and wellbeing package.

Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process.