The Role
Develop and scale high-throughput automated assay workflows for antibody and drug discovery. Program laboratory automation instruments and robotic systems, design integrated workcells, troubleshoot bottlenecks, improve reliability and capacity, and collaborate with software engineering and LIMS teams on integrated workflows. Support equipment validation, qualification, documentation, and workflow data analysis while contributing to the growth of the automation team.
Summary Generated by Built In
The role: BigHat Biosciences is seeking a highly motivated Automation Engineer II to join our growing team. This position will support the development and scaling of automated workflows within BigHat’s state-of-the-art antibody engineering platform.
Key Responsibilities
- Lead and contribute to the end-to-end development of high-throughput automated assay processes, spanning a variety of technologies within drug and antibody discovery.
- Program a variety of laboratory automation instruments and robotic systems.
- Contribute to the design and development of BigHat’s integrated workcells, with an eye for orders-of-magnitude capacity increase, cost reduction, and increased reliability.
- Lead troubleshooting efforts, analyze existing workflows, identify bottlenecks, and develop innovative solutions geared for robustness and capacity.
- Collaborate with software engineering and LIMS teams on building and implementing end-to-end integrated workflows leveraging BigHat’s cutting-edge software stack.
- Support equipment validation and qualification efforts, including design, execution, and documentation.
- Contribute to the growth of the automation team, know-how, and expertise at BigHat.
Skills Knowledge and Expertise
- BS or MS degree in engineering or science in engineering, biochemistry, or related scientific field, with 2+ years of relevant industry experience.
- Experience programming or operating automated liquid handling systems, from conception through all phases of development and implementation. Experience with Hamilton and/or OpenTrons platforms preferred but not required.
- Experience with standard molecular biology and cell biology techniques and/or experience automating drug discovery processes preferred.
- Functional knowledge in experimental design, bench execution, process documentation, and data analysis.
- Strong communication skills, and ability to work with people of diverse backgrounds (protein scientists, research associates, data scientists, software engineers, etc.) to scope, develop, and implement solutions.
- Thrives in a fluid, dynamic start-up environment and enjoys building capabilities from the ground up.
Total Rewards
The salary estimated for this position is $150,000 - $168,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.
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
- BS or MS degree in engineering, biochemistry, or a related scientific field
- 2+ years of relevant industry experience
- Experience programming or operating automated liquid handling systems through development and implementation
- Experience with Hamilton and/or OpenTrons platforms
- Experience with standard molecular biology and cell biology techniques
- Experience automating drug discovery processes
- Functional knowledge of experimental design, bench execution, process documentation, and data analysis
- Strong communication and cross-functional collaboration skills
- Ability to work in a fluid, dynamic startup environment
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The Company
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.
