*At BigHat we believe in titles that are commensurate with skill set, relative organizational impact, and value contribution; more or less experienced candidates are encouraged to apply, with the understanding that responsibilities and title would adjust as appropriate.
Key Responsibilities
- Perform automated and manual high-throughput processing on the BigHat platform, including DNA preparation, protein expression, and protein characterization.
- Contribute to the scaling up of BigHat’s platform and production-grade data generation.
- Support BigHat’s Platform Reagents & Assay Support (PRAS) function by contributing to in-house reagent manufacturing efforts.
- Execute experiments to optimize the performance efficiency of BigHat’s platform.
- Keep a detailed record of all experiments using BigHat’s documentation tools, and clearly communicate results and challenges.
- Collaborate on the creation of laboratory standard operating procedures (SOPs) for sample processing.
- Collaborate closely with BigHat team members to identify, design, and implement critical process and operational improvements to production workflows and laboratory systems.
- Operate automated liquid handlers and analytical instruments to ensure all lab and platform operations run efficiently.
Skills Knowledge and Expertise
- BS in Biology or Chemistry, with 1+ year(s) of industry experience
- Experience in process execution, laboratory method development, optimization, and troubleshooting.
- Hands-on experience with, or interest in, automated liquid handlers (e.g. Hamilton, OpenTrons, Tecan, Agilent systems). Experience with LIMS is a nice-to-have.
- Experience with molecular biology techniques and general lab practices.
- Efficient time management and ability to work on several projects simultaneously, in a dynamic start-up environment.
- Strong interpersonal skills and ability to effectively communicate with members of a multidisciplinary team.
- Excellent record keeping abilities to document experimental work and analytical data.
- Nice-to-haves include previous experience working with barcoding systems, inventory tracking, and experience with Google Workspace tools (Docs, Sheets, Slides, etc.)
Total Rewards
About
BigHat Biosciences designs safer, more effective biologic therapies for patients using machine learning and synthetic biology. BigHat integrates a wet lab for high-speed characterization with machine learning technologies to guide the search for better antibodies. We apply these design capabilities to develop new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases.BigHat is a Series B biotech outside San Francisco with a team-oriented, inclusive, and family-friendly culture. Our broad pipeline of wholly-owned and partnered therapeutic programs span many disparate indications with high unmet need, such as cancer, inflammation, and infectious disease. BigHat has raised >$100M from top investors, including Section 32, a16z, and 8VC.
Skills Required
- Bachelor’s degree in Biology or Chemistry
- At least one year of industry experience
- Experience in process execution, laboratory method development, optimization, and troubleshooting
- Hands-on experience with or interest in automated liquid handlers, such as Hamilton, OpenTrons, Tecan, or Agilent systems
- Experience with molecular biology techniques and general laboratory practices
- Ability to manage time effectively and work on multiple projects simultaneously
- Strong interpersonal and multidisciplinary communication skills
- Excellent experimental and analytical record-keeping abilities
- Experience with LIMS
- Experience with barcoding systems and inventory tracking
- Experience with Google Workspace tools, including Docs, Sheets, and Slides
What We Do
BigHat’s mission is to improve human health by making it far easier to design advanced, next-generation antibody therapeutics. Our AI-enabled experimental platform integrates a high-speed characterization or “wet” lab with machine learning technologies to speed the antibody engineering process. When applied, these design capabilities have the potential to drive the development of new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases. BigHat is backed by Section 32, Andreessen Horowitz, 8VC, Amgen Ventures, Bristol Myers Squibb, Quadrille, Grids Capital, AME Cloud Ventures, Innovation Endeavors and Gaingels.







