Bioinformatics Phd - Genomics Specialist

Mercor; San Francisco (CA); Hybrid; GBP 73.000 - 104.000; Vollzeit

Zusammenfassung

Mercor is seeking a Bioinformatics & Computational Single-Cell Genomics Expert for a remote contract role. The position requires graduate training in a STEM field, strong Python skills, and proficiency with single-cell software libraries.

The work is 15–20 hours per week, with compensation of $70–$100 per hour, and independence in designing and refining AI evaluation problems. Ideal candidates will be comfortable in Linux/terminal environments and have experience with tools like scanpy, scvelo,

Qualifikationen

• Graduate-level training in a 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.

Aufgaben

• Design challenging computational problems to evaluate AI capabilities in scientific research.
• Create problems requiring skilled use of 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.

Jobbeschreibung

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 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

Must-Have

• 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.

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [e-mail]