About the role
Scientist II, Developability Department: Lab Science Employment Type: Full Time Location: San Mateo, CA Description
The Role: BigHat Biosciences is looking for a hands-on, bench-driven scientist to drive antibody developability assessments that advance our Milliner Platform for AI-designed therapeutics. This is a primarily lab-based role where you'll spend the majority of your time at the bench executing and innovating on our developability workflows. *At BigHat we believe in titles that commensurate with skill set, relative organizational impact, and value contribution; more experienced candidates are encouraged to apply, with the understanding that r esponsibilities and title would adjust as appropriate. Key
Responsibilities Lead developability R&D projects: design, optimize, and execute high throughput developability assays to expand BigHat’s toolkit. Drive developability assessments (purity, stability, tolerability, biophysical properties) across programs, with strong attention to data interpretation and organization. Support late-stage characterization and IND-enabling studies, including formulation screening, stress testing, peptide mapping, and simulated administration studies, to rank and advance lead candidates. Serve as the Developability lead within project teams, guiding experimental strategy to address liabilities and hit program milestones. Work cross-functionally to automate and train colleagues on new and existing methods, build QC frameworks for monitoring assay performance, and adapt workflows to existing LIMS infrastructure. Proactively and independently analyze data, interpret scientific findings, propose next steps, and broadcast findings clearly across the organization. Skills Knowledge and Expertise PhD in Biochemistry or relevant discipline with 3+ year(s) of industry experience; exceptional non-PhD candidates with deep bench experience will be considered. Strong background in biophysical and analytical characterization of antibodies and antibody fragments: SEC, HIC, CE-SDS, DLS, DSF, ELISA, LC-MS, including method development and optimization. Track record of translating complex data into clear results and recommended actions. Experience with protein structures and antibody engineering. Enthusiastic about learning and onboarding new technologies to expand capabilities and improve work quality, timelines, throughput or cost. Nice-to-haves include prior experience working in a dynamic start-up environment, working as a project lead, and working with automation. Total Rewards The salary estimated for this position is $145,000 - $165,000 +