Bioinformatics Expert - Single-Cell Genomics

Mercor; San Francisco (CA); Hybrid; GBP 72,000 - 103,000; Part time

Job summary

Mercor is seeking a Bioinformatics & Computational Single-Cell Genomics Expert for a remote, contract role. You will design and test AI-related genomics problems using leading software, working 15–20 hours per week.

Ideal candidates hold MS/PhD, have publications or research experience with Python, Linux, and scientific tools like scanpy, scvelo, squidpy, gudhi, and can work independently in remote compute sandboxes.

Qualifications

• Graduate-level training in a relevant STEM field (MS, PhD, or equivalent).
• Publications or professional work demonstrating proficiency with scientific software libraries.
• 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

Linux/Terminal

Independent work

Education

MS/PhD in STEM

Tools

Scanpy

scvelo

squidpy

Gudhi

Job description

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
Commitment: 15–20 hours/week

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.

Qualifications

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.

Resources & Support

• 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: [e-mail]