Remote Single-Cell Genomics Benchmark Designer

Obsidian; San Francisco (CA); Remote; USD 83,000 - 165,000; Full time

Job summary

Obsidian is seeking a Bioinformatics & Computational Single-Cell Genomics Expert to craft graduate-level problems that challenge AI systems to solve real scientific workflows. You will design, run simulations, and interpret results at a research level.

Focus areas include bioinformatics and single-cell analyses using scanpy, scvelo, squidpy, and gudhi, with emphasis on problem design over brute-force computation. Flexible, research-oriented engagement.

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, shown through research publications, open-source contributions, or professional work.
• Strong Python skills — you'll be writing problem setups, oracle functions, and solution validators.
• Ability to work independently and refine problem designs based on feedback.
• Comfortable working in a Linux/terminal environment with remote compute sandboxes.
• Available for at least 15–20 hours per week.

Responsibilities

• Design original, graduate-level problems based on real scientific workflows.
• Create problems requiring skilled use of specialized scientific software and multi-step workflows.
• Test problems against state-of-the-art AI models and refine until the target difficulty is reached.
• Cover domains such as Bioinformatics & Single-Cell Genomics with tools like scanpy, scvelo, squidpy, gudhi.

Skills

Python

Bioinformatics

Single-Cell Genomics

Linux/Unix

Problem design

Education

MS or PhD in relevant STEM

Tools

scanpy

scvelo

squidpy

gudhi

Job description

Obsidian is seeking a Bioinformatics & Computational Single-Cell Genomics Expert to craft graduate-level problems that challenge AI systems to solve real scientific workflows. You will design, run simulations, and interpret results at a research level.

Focus areas include bioinformatics and single-cell analyses using scanpy, scvelo, squidpy, and gudhi, with emphasis on problem design over brute-force computation. Flexible, research-oriented engagement.