Jobs at BigHat Biosciences

Support R&D to advance phage and yeast display technologies for antibody discovery. Construct and QC display libraries, perform selections, express/purify/characterize molecules (ELISA, flow cytometry, BLI/SPR, CE-SDS), analyze results, collaborate with Data Science/ML on library design and model training, present results, and maintain records in LIMS and electronic notebooks.

Hands-on, bench-driven role to design, optimize, and execute high-throughput antibody developability assays. Drive developability assessments, support late-stage characterization and IND-enabling studies, lead project experimental strategy, automate and integrate methods with LIMS, analyze data, and communicate findings across teams.

Lead end-to-end development and ownership of major areas of an internal cloud-based platform supporting antibody discovery. Translate lab workflows into reliable software, design system-level architecture, implement front-end and back-end features, improve testing and engineering practices, and collaborate with scientists and product owners to deliver validated production systems.

Manufacture and validate CFPS reagents, maintain reagent production equipment, design and run experiments to optimize CFPS extracts, perform QC, document results, coordinate supplies, and present findings to science and management teams.

Contract SharePoint consultant to design and build program management SharePoint sites, integrate Smartsheet feeds, configure document control workflows and Power Automate automations for IND/regulatory submissions, manage permissions, provide admin support, and hand off to internal teams. Work is remote and US-based with optional Microsoft 365 Copilot/SharePoint AI assessment.

Lead cross-functional teams to drive antibody discovery, design, optimization, and characterization. Apply structure-guided and computational engineering to generate therapeutics, design assays, analyze cycle data, and communicate results to internal and external stakeholders to advance candidate selection.

Lead and execute clinical operations for early- to late-phase biologics trials in oncology and inflammatory diseases. Develop strategy, manage CROs and vendors, oversee site sample and biomarker logistics, ensure regulatory compliance (ICH-GCP, FDA/EMA), supervise data quality and clinical document generation, manage budgets and risks, and collaborate cross-functionally to accelerate development timelines.

Lead and grow BigHat's antibody discovery and display team; set scientific and technical strategy; oversee display-based selection campaigns, library design, screening, and early optimization; collaborate with protein sciences, data science/ML, and platform teams to advance antibody candidates through characterization and developability assessment.

Lead development of state-of-the-art generative and predictive ML models for antibody sequence and structure. Mentor ML staff, set research strategy, develop de novo and multi-objective optimization methods, deploy models to wet-lab pipelines, collaborate with interdisciplinary teams, and publish/communicate scientific advances.