The Role: Generate: Biomedicines is seeking an experienced and highly motivated Senior Scientist, Proteomics Platform to join our team at the interface of proteomics, molecular biology, ML, and biopharmaceutical discovery.
Requirements
- PhD in Analytical Chemistry, Proteomics, Biochemistry, Molecular Biology, or a related field, with 4+ years relevant postdoctoral and/or industry experience; or MS with 8+ years industry experience
- Significant hands-on experience establishing and advancing mass spectrometry-based proteomics platforms, preferably in a biotech, pharmaceutical, or applied research environment
- Deep expertise across the full proteomics workflow, including sample preparation, chromatographic separation, mass spectrometry data acquisition, data processing, and downstream comparative analysis across experiments or datasets
- Strong experience designing, building, and improving proteomics workflows, analytical methods, or data pipelines rather than solely executing established assays
- Deep expertise with modern proteomics instrumentation, especially Bruker timsTOF and Thermo Orbitrap platforms
- Strong understanding of proteomics acquisition methods, including DDA, DIA, and PRM, and the ability to select, adapt, and optimize these approaches based on experimental goals
- Extensive experience with liquid chromatography for proteomics, including nano-ESI workflows, direct inject, and trap-and-elute
- Strong proficiency in proteomics data analysis tools, including PEAKS, Spectronaut, Skyline, Protein Metrics, and/or custom or open-source analysis workflows
- Extensive knowledge of proteomics sample preparation techniques, including SP3, S-Trap, StageTips, immunoprecipitation, single-cell proteomics, and low-input proteomics, with demonstrated experience developing and applying workflows across diverse sample types including purified proteins, cell lysates, tissues, and in vivo samples
- Demonstrated programming and computational problem-solving ability for scientific data analysis, workflow development, pipeline construction, and/or automation
- Strong experimental design, troubleshooting, and systems-thinking skills, with the ability to understand and improve proteomics workflows end to end
- Excellent communication and collaboration skills, with the ability to work effectively across proteomics, molecular biology, automation, machine learning, and data science teams
Benefits
- Annual bonus
- Equity compensation
- Competitive benefits package
