Anyone Ai
Bioinformatics Expert
Argentina - Fully Remote. Posted 2 months ago
The role
Design advanced genetics problems to test and improve reasoning in frontier AI models. Create deterministic problems with one correct answer and write verified solutions.
What you will 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
- 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
Required qualifications
- 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
About the company
anyone-ai creates high-quality STEM training data for frontier AI models used in training and evaluation pipelines at leading AI labs.