Research Associate II, Production
BigHat Biosciences
Summary
BigHat Biosciences is seeking a self-motivated individual for a Research Associate II, Production role to power our high-throughput, automated platform for antibody production and deep molecular characterization.
Job description
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.)
Requirements
- BS in Biology or Chemistry
- 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 molecular biology techniques and general lab practices
- Efficient time management and ability to work on several projects simultaneously
- 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: experience with barcoding systems, inventory tracking, and Google Workspace tools
Benefits
- Bonus
- Stock Options
- Benefits
Company overview
BigHat Biosciences is a pioneering biotechnology company that leverages artificial intelligence and machine learning to design next-generation antibody therapeutics. Founded in 2019 and headquartered in San Mateo, California, the company has developed its proprietary Milliner platform, which integrates a high-speed, automated wet lab with advanced machine learning technologies to accelerate antibody discovery and engineering. This innovative approach enables the rapid synthesis, purification, and characterization of hundreds of recombinant antibodies weekly, significantly speeding up the therapeutic development process. BigHat focuses on creating safer and more effective antibody therapies for challenging diseases, with applications ranging from infectious diseases to cancers. The company has raised over $100 million in Series B funding from prominent investors including Section 32, Andreessen Horowitz, Amgen Ventures, and Bristol Myers Squibb. BigHat maintains strategic collaborations with major pharmaceutical companies like Johnson & Johnson to advance novel antibody designs, particularly in neuroscience therapeutics. With a team of 51-200 employees, the company combines expertise in synthetic biology, protein engineering, and computational sciences to transform antibody drug discovery.