COMPUTATIONAL GENOMICS PHD - BIOINFORMATICS - AI TRAINER

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Computational Genomics, Statistical Bioinformatics Expert (PhD) Type: Contract Compensation: $120/hour Location: Remote Role Responsibilities • Complete realistic, multi-step scientific data-analysis tasks in computational genomics , quantitative biology , and translational biomedicine . • Independently inspect datasets, perform quality control, and execute analyses in R and Python . • Navigate ambiguous research workflows by identifying key analytical decisions and potential confounders. • Use scientific software, code, and command-line tools to generate reproducible analyses and structured outputs. • Interpret results in the context of biological or translational questions, communicating assumptions and conclusions. • Collaborate with a multidisciplinary team of scientists and AI research specialists . Qualifications Must-Have • PhD in computational biology, bioinformatics, statistical genetics, quantitative biology, biostatistics, genomics, or related field. • Deep experience analyzing biological or biomedical data, especially genomics and related omics datasets. • Professional fluency in R and Python . • Strong foundation in statistical modeling and experimental design. • Experience with multi-step computational research workflows. • Clear scientific writing and documentation skills. Preferred • Familiarity with reproducible research practices, including notebooks, scripts, and version control. Compensation & Legal • Project-based engagement • Competitive, expertise-based pay Application Process (Takes 20–30 mins to complete) • Upload resume • AI interview based on your resume • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor