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

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 Commitment: 15–20 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 20–30 mins to complete)

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