We are partnering with an innovative, well-funded stealth-mode biotech startup in the San Francisco Bay Area that is redefining the future of precision medicine. Backed by top-tier investors and founded by leading scientists in the field, this company is leveraging cutting-edge proteomics and machine learning to unlock new insights into disease biology and therapeutic discovery.
The Role
Our client is seeking a Head of Proteomics to lead the strategy, development, and execution of their proteomics platform. This is a high-impact, leadership role where you will work closely with world-class computational biologists, engineers, and translational scientists to drive discoveries that will shape the next generation of therapeutics.
Key Responsibilities:
Define and execute the company's proteomics strategy, integrating mass spectrometry, high-throughput screening, and computational methods to generate deep biological insights.
Build and lead a best-in-class proteomics team, fostering a culture of scientific rigor and innovation.
Collaborate cross-functionally with computational biologists, data scientists, and drug discovery teams to translate proteomics data into actionable therapeutic hypotheses.
Identify and implement emerging technologies in the proteomics space to enhance discovery capabilities.
Oversee external partnerships with CROs, academic collaborators, and technology providers.
Drive publication and IP strategy in proteomics and related disciplines.
Qualifications:
Ph.D. in Proteomics, Biochemistry, Molecular Biology, or a related field, with 10+ years of industry or academic experience.
Expertise in mass spectrometry-based proteomics (LC-MS/MS), quantitative proteomics, and computational analysis of proteomic datasets.
Proven leadership experience, with a track record of building and managing high-performing scientific teams.
Strong knowledge of protein biochemistry, post-translational modifications, and biomarker discovery.
Ability to work in a fast-paced, entrepreneurial environment and translate complex data into meaningful biological insights.
Experience with AI/ML-driven approaches to proteomics is a plus.
The Benefits:
Based in the Bay Area, however open to hybrid candidates in the US
Competitive salary of $250-300,000 pa and extensive benefits package
Progression opportunities - Chance to get on the ground floor with a well-funded and rapidly expanding Biotech
If you are looking to take the next step in your career in the Biotech industry and you would like to know more about this role or the other opportunities we currently have on our books, please apply now with your CV to speak with our specialist Scientific Consultant William Ashbrook