Computational Genomics, Statistical Bioinformatics Expert (PhD) - review AI outputs in your specialty

What you’ll do

• Complete realistic, multi-step scientific data-analysis tasks in computational genomics, quantitative biology, and translational biomedicine

• Independently inspect datasets, perform quality control and exploratory analysis, select appropriate statistical methods, and execute analyses in R and Python

• Navigate ambiguous research workflows by identifying key analytical decisions, potential confounders, and limitations in the available data

• Use scientific software, code, and command-line tools to generate reproducible analyses and structured final outputs

• Interpret results in the context of the underlying biological or translational question, clearly communicating assumptions, uncertainty, and conclusions

• Work with a multidisciplinary team of scientists and AI research specialists

Who we’re looking for

• PhD in computational biology, bioinformatics, statistical genetics, quantitative biology, biostatistics, genomics, or a closely related field

• Deep, hands-on experience analyzing biological or biomedical data, especially genomics, sequencing, single-cell, population-genetics, QTL/GWAS, or related omics datasets

• Professional fluency in R and Python, including the ability to write, debug, and explain analysis code

• Strong foundation in statistical modeling, experimental design, quality control, and scientific inference

• Experience independently carrying out multi-step computational research workflows from raw or messy data through final interpretation

• Clear scientific writing and the ability to document methods, assumptions, and results precisely

• Familiarity with reproducible research practices, including notebooks, scripts, version control, or workflow tools, is a plus

Details

• Project-based engagement with competitive, expertise-based pay

• Open to qualified experts globally