GSK
Healthcare
ResearchScientist–ProteomicsWorkflowInnovation(m/f/d)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“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.
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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