BHL Guide: Who Should Apply & How
Who is this job for?
A senior industry role at GSK in Heidelberg, Germany, leading a team of computational scientists working on single-cell and spatial omics with AI. It suits experienced computational biologists with team or technical leadership experience looking for biotech jobs in Germany.
Eligibility at a glance
- PhD in computational biology, data science or a related discipline
- Demonstrated expertise in single-cell and/or spatial omics data
- Advanced Python and reproducible workflows (e.g. scverse); agentic scientific workflows
- Evidence of people or technical leadership
How to apply
- Apply online through GSK's official careers site
- The listing shows a German salary range of EUR 88,500 to 147,500 a year (gross base)
- Last date: no closing date stated in the listing; we show 11 November 2026 (posted + 15 days), so apply early
Tips for applicants
For candidates living outside Germany
- The listing says the role is open to applicants from multiple locations; check the location options on the GSK page
- Experience linking spatial data with histology or digital pathology is listed as preferred
Related on Jobs Bio Help Learning
Written by the Bio Help Learning team from the official listing. Always check the official page before applying.
Job Description
We are seeking an experienced computational scientist to shape our Spatial Omics and AI capabilities. You will lead a team developing scalable pipelines and innovative methods for complex single-cell and spatial omics data, enabling deeper insight into disease mechanisms, stronger target hypotheses, and more confident drug-discovery decisions.
Alongside hands-on technical development, you will set scientific direction, establish quality and reproducibility standards, and partner across disciplines to embed these capabilities in research programs and enable their effective use across studies.
Key Responsibilities
- Lead and develop a team of computational scientists, setting scientific priorities and ensuring high-quality delivery.
- Define the analytical strategy for Spatial Omics, establish scalable FAIR data-processing pipelines, and represent the group in cross-functional forums and discussions with senior stakeholders.
- Develop and apply advanced methods for diverse spatial omics (transcriptomics, proteomics, lipidomics, metabolomics) and digital pathology.
- Enable multimodal integration across single-cell, molecular, spatial, morphological and pathology data.
- Deploy and develop agentic AI workflows that automate processing and orchestrate analyses
- Partner with experimental scientists, disease biologists, pathologists and technology teams to infrom analytical and scientific strategy.
Qualifications
- PhD in computational biology, data science, or related discipline
- Strong grounding in disease biology, with the capacity to frame complex scientifc questions and interpret multidimensional data in a biologically meaningful context.
- Demonstrated expertise in single-cell and/or spatial omics, supported by practical experience integrating multiple molecular data types.
- Advanced Python proficiency and a record of building reproducible analytical workflows with open-source scientific ecosystems such as scverse.
- Experience developing and deploying agentic scientific workflows at scale.
- Evidence of successful people or technical leadership, including mentoring, capability building, and accountability for team outcomes.
- Strong communication and collaboration skills across computational and experimental disciplines.
Skills Required
- Advanced experience linking spatial molecular profiles with histology, imaging-derived features, or digital pathology outputs.
- Ability to create data visualizations that communicate complex spatial and multimodal findings to scientific and decision-making audiences.
- Knowledge of machine learning for image analysis, multimodal integration, or predictive modeling in biomedical research.
- Track record of moving methodological innovation into adopted solutions that influence biological insight and drug-discovery decisions.
Additional Information
| Company | GSK |
|---|---|
| Location | Heidelberg |
| Job Type | Full-time |
| Experience Level | Industry – Scientific Leader |
| Salary / Stipend | EUR 88,500 – 147,500 per year (Germany, gross base salary) |
| Application Deadline | 2026-11-11 |
| Posted Date | 2026-10-27 |
| Company Website | https://www.gsk.com/ ↗ |
| Source | Official Career Page ↗ |
| Requisition | 450507 |
| Location | Heidelberg – Office, Germany |
| Additional pay | may include an annual bonus and eligibility for the share-based long-term incentive programme, depending on the role level |
| Note | The listing states the role is available for applicants from multiple locations |
| Application deadline | No closing date stated in the listing – apply early |
Always verify vacancy details and availability on the employer’s official website. Jobs Bio Help Learning is an independent job-discovery platform and does not process applications.
