Role Description
• 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
• 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.
Requirements
• Familiarity with reproducible research practices, including notebooks, scripts, and version control.
Benefits
• Project-based engagement.
• Competitive, expertise-based pay.
Application Process
• 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
• Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.