Research Associate , Platform Reagents & Assay
Listed on 2026-07-16
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Research/Development
Research Scientist
Research Associate I, Platform Reagents & Assay Support
Big Hat Biosciences is seeking a self-motivated individual for a Research Associate I, Platform Reagents & Assay Support (PRAS), role to power our in-house reagent manufacturing and QC efforts supporting our Milliner platform.
Key Responsibilities- Execute automated and manual high-throughput reagent manufacturing and QC workflows to support data generation across Big Hat's production assay suite.
- Keep detailed records of all reagent lot manufacturing and QC events using Big Hat's documentation tools, and clearly communicate results and challenges.
- Contribute to reagent lot performance monitoring, and assist with troubleshooting efforts as needed.
- Collaborate on the creation of laboratory standard operating procedures (SOPs) for reagent manufacturing and QC.
- Collaborate closely with Big Hat team members to identify, design, and implement critical process and operational improvements to workflows and laboratory systems.
- Operate automated liquid handlers and analytical instruments to ensure all lab and platform operations run efficiently.
- BS in Biology or Chemistry, with 1+ year(s) of industry experience.
- Experience in reagent manufacturing and quality control, process execution, and troubleshooting.
- Hands-on experience with, or interest in, automated liquid handlers (e.g. Hamilton, Open Trons, 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 and automated tube/plate labelers, inventory tracking, and experience with Google Workspace tools (Docs, Sheets, Slides, etc.)
The salary estimated for this position is $75,000 - $88,000 + 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.
What Big Hat Offers:
- Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
- Dental, and vision coverage through Guardian
- Additional well-being benefits through Nayya, One Medical, Wagmo, Rula, and more
- 401(k) with company match
- DTO, two weeks of company-wide shutdown, and 12 company holidays
- Paid parental leave
Big Hat Biosciences designs safer, more effective biologic therapies for patients using machine learning and synthetic biology.
Big Hat 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. Big Hat 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.
Big Hat has raised >$100M from top investors, including Section 32, a16z, and 8VC.
Stage 8:
Offer (Pending References)
Stage 9:
References
Stage 10:
Hired
Stage 1:
Applied
Stage 2:
Initial Recruiter Screen
Stage 3:
Initial Conversation | Head of Talent
Stage 4:
Initial Conversation | Hiring Manager
Stage 5: 1st Technical Screen
Stage 6: 2nd Technical Screen
Stage 7:
Full Panel Interview
Stage 8:
Offer (Pending References)
Stage 9:
References
Stage 10:
Hired
Stage 1:
Applied
Stage 2:
Initial Recruiter Screen
Stage 3:
Initial Conversation | Head of Talent
Stage 4:
Initial Conversation | Hiring Manager
Stage 5: 1st Technical Screen
Stage 6: 2nd Technical Screen
Stage 7:
Full Panel Interview
Stage 8:
Offer (Pending References)
Stage 9:
References
Stage 10:
Hired
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