Remote Single-Cell Genomics Problem Designer (Contract)

Mercor; United Kingdom; Remote; GBP 73,000 - 104,000; Part time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract is for a Bioinformatics & Computational Single-Cell Genomics Expert.

Work 15–20 hours/week at $70–$100/hour, with MS/PhD or equivalent, Python and Linux proficiency, and a track record in scientific software. You will design problems, evaluate AI models, and work independently to advance benchmarks. Familiarity with scanpy, scvelo, squidpy, and gudhi is highly preferred.

Qualifications

• 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.

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.

Skills

Python

Independent work

Linux

Education

MS/PhD or equivalent

Tools

scanpy

scvelo

squidpy

gudhi

Job description

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract is for a Bioinformatics & Computational Single-Cell Genomics Expert.

Work 15–20 hours/week at $70–$100/hour, with MS/PhD or equivalent, Python and Linux proficiency, and a track record in scientific software. You will design problems, evaluate AI models, and work independently to advance benchmarks. Familiarity with scanpy, scvelo, squidpy, and gudhi is highly preferred.