Research Scientist - Proteomics Workflow Innovation
Role details
Job location
Tech stack
Job description
- Design, develop, and benchmark innovative LC-MS-based proteomics and secretomics workflows across diverse biological systems.
- Evaluate and implement fit-for-purpose methods based on performance metrics such as data quality, reproducibility, and biological relevance.
- Establish robust, scalable, and reproducible workflows for high-quality data generation.
- Drive end-to-end understanding of proteomics datasets, from experiments to biological interpretation and hypothesis generation.
- Partner with computational and data science teams to ensure appropriate data processing, accessibility, and usability.
- Translate experiments into standardized and scalable workflows.
- Contribute to documentation (SOPs, reports) to ensure reproducibility and knowledge sharing.
- Collaborate across multidisciplinary matrix teams and communicate scientific findings effectively to both technical and non-technical stakeholders.
Requirements
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., * MSc or PhD in Biochemistry, Proteomics, Analytical Chemistry, or related discipline.
- Hands-on experience in LC-MS-based proteomics workflows.
- Experience working at the interface of wet-lab and computational analysis.
- Demonstrated experience in data analysis and interpretation of proteomics datasets.
- Strong ability to connect experimental data to biological context and hypothesis generation.
- Excellent problem-solving and communication skills.
- Programming and data analysis skills (e.g., Python, R) and familiarity with AI/ML are desirable.
- Experience with secretomics or extracellular proteomics workflows is preferred.
- 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.
Benefits & conditions
- Opportunity to work in a cutting-edge scientific environment with access to state-of-the-art technologies.
- Collaborative and inclusive culture that values innovation and scientific excellence.
- Competitive compensation and benefits package.
- Commitment to professional development and career growth.