Single-Cell Genomics - Fully Remote | Upto $100/hr

๐Ÿข mercor ยท all mercor jobs
๐Ÿ“ United Kingdom
๐Ÿ’ฐ USD 70 - 100 / hourly
๐Ÿ“… Posted 2026-08-23 ยท via Himalayas
๐Ÿท Bioinformatics,Single-Cell-Genomics,Computational-Biology,Scientific-Computing,AI-Research-Evaluation,Remote-Senior-Single-Cell-Genomics-Scientist,Remote-Senior-Computational-Biologist
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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: $70โ€“$100/hour
Location: Remote
Commitment: 15โ€“20 hours/week
Role Responsibilities

- Design challenging computational problems to evaluate AI systems using real scientific software.

- Develop problems requiring strategic planning and multi-step workflows for AI model testing .

- Refine problem difficulty through iterative testing against state-of-the-art AI models .

- Collaborate on single-cell RNA-seq analysis , trajectory inference, and spatial transcriptomics using tools like scanpy , scvelo , squidpy , and gudhi .

- Work independently and asynchronously to meet deadlines and improve problem designs.

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, open-source contributions, or professional work.

- Strong Python skills for writing problem setups, oracle functions, and solution validators.

- Ability to work independently and refine problem 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.

Application Process (Takes 20โ€“30 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.

Originally posted on Himalayas

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