Computational Biologist - Fully Remote

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.

Duration: 2-week engagement

• Review representative problems from your assigned problem class to understand the data shape and expected output.
• Specify a complete toolkit including Python/R packages and system tools, each with a brief rationale.
• Validate the final toolkit to ensure it solves specific classes of computational biology problems.
• Shape how frontier models approach real scientific problems through your tool selections.
• Work independently and collaboratively to meet project deadlines.

Qualifications

• PhD or Master's degree in bioinformatics, computational biology, genomics, or a closely related field.
• Hands-on experience with at least 3 of the following: protein structure analysis, variant effect prediction, RNA-seq/expression analysis, ChIP-seq/epigenomics, single-cell analysis, CRISPR screen analysis, molecular docking, or cheminformatics.
• Deep familiarity with the standard tool ecosystem for your subdomain (e.g., Rosetta, FoldX, DESeq2, MAGeCK, AutoDock Vina, HOMER, scanpy).
• Proficiency in Python and/or R for bioinformatics workflows.
• Familiarity with command-line bioinformatics tools (e.g., samtools, BEDTools, BLAST).

• Short screening questionnaire to assess subdomain expertise and tool familiarity.

• Upload resume
• AI interview based on your resume
• Submit form

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.