Remote Bioinformatics Scientist: Single-Cell Genomics

mercor; San Francisco (CA); Remote; GBP 73,000 - 104,000; Part time

Job summary

Mercor is seeking a Bioinformatics & Computational Single-Cell Genomics Expert for a remote contract, 15–20 hours per week. You will design computational challenges to test AI systems using real scientific software and collaborate on single-cell RNA-seq analyses with state-of-the-art tools.

Strong Python skills, Linux experience, and a track record of research software development are essential. You will work independently, refine problem designs, and contribute to reproducible workflows in

Qualifications

• 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.

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.

Skills

Python

Independent work

Education

MS/PhD or equivalent research experience

Tools

scanpy

scvelo

squidpy

gudhi

Linux/terminal

Docker

Job description

Mercor is seeking a Bioinformatics & Computational Single-Cell Genomics Expert for a remote contract, 15–20 hours per week. You will design computational challenges to test AI systems using real scientific software and collaborate on single-cell RNA-seq analyses with state-of-the-art tools.

Strong Python skills, Linux experience, and a track record of research software development are essential. You will work independently, refine problem designs, and contribute to reproducible workflows in