Bioinformatics PhD - Genomics Specialist

mercor; Deutschland; Remote; EUR 86,000 - 123,000; Part time

Job summary

Mercor seeks a Bioinformatics & Computational Single-Cell Genomics Expert for remote work with a commitment of 15–20 hours per week. You will design challenging computational problems, leveraging Scanpy, scvelo, squidpy, and gudhi. Strong Python skills and graduate-level STEM training are required, with independence in problem design and a Linux environment.

Qualifications

• Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
• Proven proficiency with at least one of the listed scientific software libraries.
• Strong Python skills.
• Ability to work independently and refine problem designs.
• Comfortable working in a Linux/terminal environment.

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

Education

MS/PhD in STEM or equivalent

Tools

scanpy

scvelo

squidpy

gudhi

Job description

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 & Type

Bioinformatics & Computational Single-Cell Genomics Expert

Contract

Compensation

$70–$100/hour

Location

Remote

Commitment

15–20 hours/week

Role 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.

Qualifications

• Graduate-level training in a relevant STEM field ( MS, PhD, or equivalent research experience ).
• Proven proficiency with at least one of the listed scientific software libraries.
• Strong Python skills.
• Ability to work independently and refine problem designs.
• Comfortable working in a Linux/terminal environment .

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.