Research Scientist in Spatial and Single Cell Data Analysis
Biberach, Germany, Baden-Württemberg
Boehringer Ingelheim
The Position
We are looking for an outstanding computational biologist in spatial and single cell transcriptomics to join our mission to identify novel therapies for our patients through computational analysis of highly complex data. As a Scientist in the Computational Innovation (CI) department, you will work on projects reaching across several of our therapeutic areas. You will work in a team focusing on Cardio-Renal-Metabolic diseases including regulatory circuits in the brain, and initial projects will be in this setting. Our internal facilities utilize the VisiumHD platform as well as imaging-based platforms and you will be working closely with teams generating new data, and with external and collaborator data. You will use state-of-the-art computational methods to analyse spatio-cellular data, supporting the understanding of disease biology and innovative target identification. Embedded in Boehringer Ingelheim’s growing CI department, you will have an impact on Research & Development, actively contributing to the discovery of breakthrough therapies that will improve patient lives.
This position can be filled in Biberach.
Tasks & responsibilities
- In your new role, you will apply state-of-the-art methods to analyse and integrate spatial and single cell transcriptomics data with the aim to identify relevant disease processes and answer research questions in different settings.
- With a group of experts and in close collaboration with our Data & Infrastructure team you will contribute to processing, quality control and annotation workflows for spatio-cellular data to ensure the highest quality standards in our FAIR data foundations.
- Moreover, you will present analysis results to your project team members and to stakeholders.
- Additionally, you will support our capability development by testing, documenting and discussing new methods and workflows in our scientific community.
Requirements
- Ph.D. in computational biology or a related field (bioinformatics, data science, computer science, mathematics/physics, molecular biology) and first post-PhD experience in an academic or industry setting
- Extensive hands-on experience spatial and single cell transcriptomics, ideally including exposure to both sequencing and imaging based spatial platforms
- Experience in statistical data analysis and machine-learning methods relevant to spatio-cellular molecular data
- Proficiency in R or Python, experience with version control systems, github/bitbucket, pipelines, and FAIR data principles
- Excellent communication skills, clear presentation of technical topics
- Fluency in English, both written and spoken
Ready to contact us?
If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com
Recruitment process:
Step 1: Online application - application deadline is April 7, 2025
Step 2: Virtual meeting in the beginning to mid of April 2025
Step 3: On-site interviews in end of April / beginning of May 2025
Please include the following documents when applying for this position: CV, Cover Letter and other relevant Documents.
Please submit your application documents in English.
Discover our Biberach site: xplorebiberach.com
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bioinformatics Biology Bitbucket Computer Science Data analysis GitHub Mathematics PhD Physics Pipelines Python R R&D Research Statistics Testing
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