Remote Single-Cell Genomics & Bioinformatics Expert

mercor

San Francisco (CA)

Hybrid

GBP 73,000 - 104,000

Part time

14 days+
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Job summary

Mercor is seeking a Bioinformatics & Computational Single-Cell Genomics Expert on a remote, contract basis. The role involves designing computational challenges to assess AI capabilities in scientific research and crafting problems using tools such as Scanpy, Scvelo, Squidpy, and Gudhi.

Flexibility to work 15–20 hours weekly is expected. Ideal candidates have graduate-level STEM training, strong Python skills, and the ability to work independently in a Linux/terminal environment, with experience

Qualifications

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent).
  • Proficiency with at least one listed scientific software library.
  • Strong Python skills.
  • Ability to work independently and refine problem designs.
  • Experience in Linux/terminal environments.

Responsibilities

  • Design challenging computational problems to evaluate AI capabilities in scientific research.
  • Create problems requiring skilled use of specialized scientific software like scanpy, scvelo, squidpy, and gudhi.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Develop problems that require strategic planning and efficient narrowing of possibilities.
  • Work independently to refine problem designs based on feedback.

Skills

Python
Linux
Problem design

Education

MS/PhD in STEM

Tools

scanpy
scvelo
squidpy
gudhi

Job description

Mercor is seeking a Bioinformatics & Computational Single-Cell Genomics Expert on a remote, contract basis. The role involves designing computational challenges to assess AI capabilities in scientific research and crafting problems using tools such as Scanpy, Scvelo, Squidpy, and Gudhi.

Flexibility to work 15–20 hours weekly is expected. Ideal candidates have graduate-level STEM training, strong Python skills, and the ability to work independently in a Linux/terminal environment, with experience

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