Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include BenchmarkGeneral CatalystPeter ThielAdam DAngeloLarry Summers and Jack Dorsey.
Author and review technical tasks to evaluate AI model performance on quantitative biology problems.
Produce original problem sets grounded in sequence alignmentsphylogenetic treesexpression heatmaps and pathway figures.
Write reference solutions and apply structured quality checks to ensure task accuracy.
Collaborate with AI research teams to improve training data quality and downstream performance.
Work independently and asynchronously with a flexible schedule to meet deadlines.
Qualifications
Must-Have
PhD in Computational BiologyBioinformatics or Quantitative Biology; or MS in Bioinformatics or Computational Biology with 3 years applied research or industry experience; or BS in BiologyCS or Math with 5 years applied quantitative biology or bioinformatics experience.
Working fluency in at least two of: sequence analysisphylogeneticssystems biologystatistical geneticscomputational modeling.
Comfortable reading and interpreting sequence alignmentsphylogenetic treesexpression heatmaps and pathway figures.
Clear technical writing; able to articulate reasoning step-by-step in written form.
Compensation & Legal
Hourly contractor
Paid weekly
Application Process (Takes 2030 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information please check:
For any help or support reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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 DAngelo Larry Summers and Jack Dorsey. Position: Quantitative Biology Expert Type: Contract Compensation: ...
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include BenchmarkGeneral CatalystPeter ThielAdam DAngeloLarry Summers and Jack Dorsey.
Author and review technical tasks to evaluate AI model performance on quantitative biology problems.
Produce original problem sets grounded in sequence alignmentsphylogenetic treesexpression heatmaps and pathway figures.
Write reference solutions and apply structured quality checks to ensure task accuracy.
Collaborate with AI research teams to improve training data quality and downstream performance.
Work independently and asynchronously with a flexible schedule to meet deadlines.
Qualifications
Must-Have
PhD in Computational BiologyBioinformatics or Quantitative Biology; or MS in Bioinformatics or Computational Biology with 3 years applied research or industry experience; or BS in BiologyCS or Math with 5 years applied quantitative biology or bioinformatics experience.
Working fluency in at least two of: sequence analysisphylogeneticssystems biologystatistical geneticscomputational modeling.
Comfortable reading and interpreting sequence alignmentsphylogenetic treesexpression heatmaps and pathway figures.
Clear technical writing; able to articulate reasoning step-by-step in written form.
Compensation & Legal
Hourly contractor
Paid weekly
Application Process (Takes 2030 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information please check:
For any help or support reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.