Biotechnology Research Scientist - Genomics

mercor; Deutschland; Remote; EUR 1,413,000 - 1,782,000; Full time

Job summary

Mercor seeks a Biotechnology Research Expert for a remote engagement to evaluate AI-generated biotech outputs and translate complex workflows into structured evaluation tasks. The role emphasizes genomics, proteomics, and molecular biology contexts with strict attention to detail.

The position involves annotating data, providing feedback on AI accuracy, and working asynchronously with research teams to refine biotech AI evaluation frameworks in a flexible remote setting.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Analytical thinking

Written communication

Data analysis

Genomics

Proteomics

Education

MS/PhD in life sciences

Job description

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: Biotechnology Research Expert Type: Contract Compensation: $1,150–$1,450 per completed task Location: Remote

Role Responsibilities

• 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 .

Qualifications Must-Have

• 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.

Compensation & Legal

• 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.

Resources & Support

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