What are the responsibilities and job description for the Senior Scientist, Protemics position at SciPro?
We are seeking a Senior Scientist, Proteomics to help advance a next-generation chemical proteomics platform supporting drug discovery and target validation efforts. This individual will play a key role in developing and applying mass spectrometry-based proteomics workflows to generate biological insights, characterize compounds, and support biomarker discovery across multidisciplinary research programs.
Key Responsibilities
- Develop, optimize, and execute targeted chemoproteomics and quantitative proteomics workflows.
- Operate, maintain, and troubleshoot advanced LC-MS instrumentation, including Orbitrap-based platforms.
- Design scalable sample preparation and experimental workflows to support high-throughput applications.
- Analyze and interpret complex proteomics datasets using quantitative and statistical approaches.
- Collaborate closely with biology, chemistry, computational, and platform teams to design experiments and guide project strategy.
- Drive innovation in chemical proteomics technologies and methodologies to expand platform capabilities.
- Present findings and recommendations to cross-functional stakeholders.
Qualifications
- PhD in Analytical Chemistry, Chemical Biology, Biochemistry, or a related discipline with 4 years of industry experience, or MS with 6 years of relevant industry experience.
- Deep expertise in mass spectrometry-based proteomics and LC-MS instrumentation.
- Experience with quantitative proteomics approaches such as TMT, DIA, PRM, or related methods.
- Strong background in targeted chemoproteomics and compound profiling applications.
- Experience analyzing large-scale proteomics datasets using tools such as Proteome Discoverer, Spectronaut, MaxQuant, or MSFragger.
- Proficiency with data analysis and scripting in Python and/or R.
- Strong understanding of experimental design, assay development, and quantitative data interpretation.
- Experience with peptide mapping, intact mass analysis, or laboratory automation platforms is a plus.
- Demonstrated ability to work independently while collaborating effectively in a fast-paced discovery environment.
Preferred Expertise
- Chemical proteomics
- Quantitative proteomics
- Mass spectrometry (LC-MS/MS)
- Drug discovery and target validation
- Biomarker discovery
- Data analysis (Python, R)
- Cross-functional scientific leadership