GSK

Healthcare

ResearchScientistProteomicsWorkflowInnovation(m/f/d)

€75–105k ~AI est. Heidelberg, Germany FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Research Scientist – Proteomics Workflow Innovation (m/f/d) at GSK. Skills: Proteomics workflow innovation, LC-MS-based proteomics, Data analysis, Biological interpretation. Design innovative LC-MS-based proteomics workflows. Develop innovative LC-MS-based proteomics workflows”

What You'll Achieve.

Generate high-quality data; Enable biologically meaningful insights

Industry & Context.

Healthcare
Problems you'll solve

Problem-solving

What They're Looking For.

Must Have

MSc or PhD in Biochemistry, MSc or PhD in Proteomics, MSc or PhD in Analytical Chemistry, MSc or PhD in 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, Demonstrated experience in interpretation of proteomics datasets, Ability to connect experimental data to biological context, Ability to connect experimental data to hypothesis generation, Excellent problem-solving skills, Excellent communication skills

Nice to Have

Programming and data analysis skills, Familiarity with AI/ML, Experience with secretomics workflows, Experience with extracellular proteomics workflows, Exposure to metabolomics workflows, Exposure to multi-omics data integration

What You'll Do.

Design innovative LC-MS-based proteomics workflows

Develop innovative LC-MS-based proteomics workflows

Benchmark innovative LC-MS-based proteomics workflows

Design innovative secretomics workflows

Develop innovative secretomics workflows

Benchmark innovative secretomics workflows

Evaluate fit-for-purpose methods

Implement fit-for-purpose methods

Establish robust workflows

Establish scalable workflows

Establish reproducible workflows

Drive end-to-end understanding of proteomics datasets

Partner with computational teams

Partner with data science teams

Ensure appropriate data processing

Ensure appropriate data accessibility

Ensure appropriate data usability

Translate experiments into standardized workflows

Translate experiments into scalable workflows

Contribute to documentation

Collaborate across multidisciplinary teams

Communicate scientific findings

How You'll Work.

Team & Collaboration

Multidisciplinary matrix teams; Computational teams; Data science teams

Communication Scope

Scientific findings; Technical stakeholders; Non-technical stakeholders

Full Job Description

# _**Research Scientist – Proteomics Workflow Innovation (m/f/d)**_ 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:** * 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. **Qualifications:** * MSc or PhD in Bioche

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