We are seeking a highly motivated Research Scientist – Proteomics Workflow Innovation (m/f/d) with strong practical expertise in LC–MS-based proteomics and a passion for data analysis, interpretation, and generation of biological insight. This role is ideal for a scientist who combines experimental expertise with the ability to translate complex data into meaningful conclusions and drive innovation in proteomics workflows.
The successful candidate will play a key role in designing, developing, and benchmarking next-generation proteomics and secretomics workflows across diverse biological systems, while leading the interpretation of complex datasets. This includes establishing robust, scalable, and reproducible workflows that deliver high-quality data and enable biologically meaningful insights. The role requires a strong data-first mindset, ensuring that workflows are optimized for downstream analysis and decision-making.
Responsibilities:
1. Design, develop, and benchmark innovative LC–MS-based proteomics and secretomics workflows across diverse biological systems.
2. Evaluate and implement fit-for-purpose methods based on performance metrics such as data quality, reproducibility, and biological relevance.
3. Establish robust, scalable, and reproducible workflows for high-quality data generation.
4. Drive end-to-end understanding of proteomics datasets, from experiments to biological interpretation and hypothesis generation.
5. Partner with computational and data science teams to ensure appropriate data processing, accessibility, and usability.
6. Translate experiments into standardized and scalable workflows.
7. Contribute to documentation (SOPs, reports) to ensure reproducibility and knowledge sharing.
8. Collaborate across multidisciplinary matrix teams and communicate scientific findings effectively to both technical and non-technical stakeholders.
Qualifications:
9. MSc or PhD in Biochemistry, Proteomics, Analytical Chemistry, or related discipline.
10. Hands-on experience in LC–MS-based proteomics workflows.
11. Experience working at the interface of wet-lab and computational analysis.
12. Demonstrated experience in data analysis and interpretation of proteomics datasets.
13. Strong ability to connect experimental data to biological context and hypothesis generation.
14. Excellent problem-solving and communication skills.
15. Programming and data analysis skills (e.g., Python, R) and familiarity with AI/ML are desirable.
16. Experience with secretomics or extracellular proteomics workflows is preferred.
17. Exposure to metabolomics workflows and multi-omics data integration is advantageous.
This is an on-site role based in Heidelberg, Germany, which is fully integrated into GSK's Research and Development (R&D) and located on the campus of the European Molecular Biology Laboratory (EMBL). This diverse and stimulating environment offers a unique blend of backgrounds and expertise, fostering innovative and impactful research.
18. Opportunity to work in a cutting-edge scientific environment with access to state-of-the-art technologies.
19. Collaborative and inclusive culture that values innovation and scientific excellence.
20. Competitive compensation and benefits package.
21. Commitment to professional development and career growth.
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GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.