Single-Cell Genomics Benchmark Architect

Obsidian; Greater London; On-site; GBP 40,000 - 70,000; Full time

Job summary

Obsidian is seeking a Bioinformatics & Computational Single-Cell Genomics Expert to design graduate-level problems leveraging tools like Scanpy, scvelo, and squidpy. You will craft research-grade computational challenges, run evaluation loops against state-of-the-art AI models, and refine tasks to achieve the desired difficulty.

You should have hands-on experience with the listed libraries, strong Python skills, and the ability to work independently in a Linux environment.

Qualifications

• Graduate-level training in a relevant STEM field (MS/PhD preferred).
• Proven proficiency with at least one listed scientific software library (Scanpy, scvelo, squidpy, Gudhi).
• Strong Python skills for problem setups, oracle functions, and 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 15–20 hours per week.

Responsibilities

• Design problems that require skilled use of specialized scientific software.
• Develop setups and workflows that require multi-step reasoning and planning.
• Test problems against AI models and refine until target difficulty is reached.
• Collaborate to ensure problems align with graduate-level scientific workflows.
• Contribute to benchmarking and evaluation design as needed.

Skills

Python programming

Problem design

Analytical reasoning

Independent work

Education

MS or PhD in a relevant STEM field

Tools

Scanpy

scvelo

squidpy

Gudhi

Job description

Obsidian is seeking a Bioinformatics & Computational Single-Cell Genomics Expert to design graduate-level problems leveraging tools like Scanpy, scvelo, and squidpy. You will craft research-grade computational challenges, run evaluation loops against state-of-the-art AI models, and refine tasks to achieve the desired difficulty.

You should have hands-on experience with the listed libraries, strong Python skills, and the ability to work independently in a Linux environment.