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Biotechnology Research Scientist - Genomics
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-01
Listing for:
Mercor
Full Time
position Listed on 2026-06-01
Job specializations:
-
Research/Development
Research Scientist, Clinical Research
Job Description & How to Apply Below
About The Job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position DetailsPosition:
Biotechnology Research Expert
Type:
Contract
Compensation: $1,150–$1,450 per completed task
Location:
Remote
- Review and evaluate AI-generated outputs related to experimental design, genomic data analysis, protein characterization, and biotech research methodologies.
- Create realistic scenarios based on laboratory and research workflows such as gene expression analysis, CRISPR experimental protocols, and proteomics data interpretation.
- Annotate, label, and validate data across biotech research use cases, including sequencing pipeline accuracy and molecular target identification.
- Provide structured feedback on AI accuracy in molecular biology techniques, genomics and proteomics standards, and regulatory guidelines.
- Collaborate asynchronously with research teams to refine evaluation frameworks for biotechnology research AI.
- 3+ years of professional or postdoctoral research experience in biotechnology, genomics, proteomics, or molecular biology.
- Background in genomics and next-generation sequencing (NGS), proteomics, molecular biology, or drug discovery.
- Advanced degree (MS, PhD) in a relevant life sciences field strongly preferred.
- Professional experience at a biotech company, CRO, academic research lab, or pharmaceutical R&D organization.
- Strong analytical thinking and ability to translate complex research workflows into structured evaluation tasks.
- Clear written communication and attention to detail.
- Task Completion Pay:
Competitive and based on task quality. - Performance Bonus:
Top performers receive a weekly bonus incentive. - Hourly Opportunity:
Top performers may transition to an hourly compensation model.
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