Bioinformatics Expert

Help shape the future of AI by designing challenging genetics problems that test and improve reasoning in cutting-edge models.

Location: Remote

Type: Contract / Part-time

Commitment: 20 hours per week

Compensation: Up to 40 USD / hr

Project duration: 2 months, with potential extension

Availability: Immediate start

About the role

We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.

We are looking for experts in Genetics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution.

What you’ll do

Design advanced genetics problems for frontier AI training and evaluation

Create deterministic problems with exactly one correct answer

Write complete, verified solutions and clearly document the reasoning process

Develop problems involving Mendelian genetics, population genetics, molecular genetics, quantitative genetics, genomics, or genetic variation

Create problems requiring multi-step interpretation of inheritance patterns, experimental data, pedigrees, or genomic information

Where relevant, use Python, R, statistical software, or genetics-specific computational tools to validate solutions

Ensure all outputs are technically precise, reproducible, and well-written in English

What we’re looking for

Master’s or PhD in Genetics, Genomics, Molecular Biology, Computational Biology, or a closely related field

Strong research or industry experience involving genetics, genomics, molecular biology, or quantitative genetic analysis

Strong quantitative reasoning and data-analysis skills

Solid understanding of inheritance, genetic variation, experimental design, probability, and statistical genetics

Ability to design original, difficult problems that mirror real genetics research workflows

Excellent attention to detail and technical writing skills in English

Nice to have

Experience with R, Python, PLINK, GATK, bcftools, Bioconductor, or other genomics and genetics tools

Background in population genetics, GWAS, quantitative genetics, functional genomics, or molecular genetics

Experience designing scientific assessments, analyzing research datasets, or evaluating AI reasoning in life-science domains