Scientific Coding: Biology and Python

What you'll do

This is the SciCode variant whose ad says the dataset is built in partnership with NVIDIA, the only one in the family to say so. You write a main biology problem with at least three connected sub-problems, then implement a verified Python golden solution with complete unit tests and discriminative test cases.

Work is validated on Turing's Central Task Platform (Tier 1 structure, Tier 2 rubrics) and revised until it meets Pass@K targets across GPT, Gemini and Nemotron judges. The goal is approval on first submission. You join sync calls for reviews and standups in overlap hours.

Who qualifies

• Master's or PhD in Biology or similar fields
• Strong Python with scientific computing experience
• Ability to write rigorous, well-posed problems with clear expected outputs
• Care over well-posedness, discriminativeness, correctness and determinism
• Prior AI data annotation, research or scientific writing
• Familiarity with LLM evaluation frameworks or coding benchmarks; NumPy, SciPy, SymPy or domain tools
• Published research or academic project experience in a STEM domain

What it pays

The ad does not publish a rate. Turing sets rates per project, see Turing.

Worth knowing

Good:

• Combines bioinformatics-style coding with a science degree
• Named partner on the project, which hints at a well-resourced program

Less good:

• 40 hours a week, 4 hours of Pacific-time overlap, 8 weeks
• Contractor assignment, no medical or paid leave
• Location restricted to Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey and Vietnam
• Programming strength matters as much as biology

About this listing

Posted on Turing's job board and read on 18 October 2026. Terms are Turing's; commentary is ours. See Turing.