Bioinformatics Expert - Single-Cell Genomics - AI Trainer

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: Bioinformatics & Computational Single-Cell Genomics Expert

Type: Contract

Compensation: $70–$100/hour

Location: Remote

Role Responsibilities: Design challenging computational problems to test AI systems using real scientific software. Create problems requiring skilled use of specialized software like scanpy, scvelo, squidpy, and gudhi. Evaluate and refine problems through testing loops against state-of-the-art AI models. Develop problems that require strategic planning for experiments and queries to uncover hidden data. Work independently to refine problem designs based on feedback and improve AI model performance.

Must-Have: Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).Proven proficiency with scientific software libraries through research publications or professional work. Strong Python skills for writing problem setups and solution validators. Ability to work independently and refine designs based on feedback. Comfortable in a Linux/terminal environment with remote compute sandboxes.

Preferred: Experience across multiple listed domains or tools. Familiarity with benchmark or evaluation design. Background in scientific teaching or exam/problem-set design. Experience with computational reproducibility and containerized environments.