Research Associate - School Of Computer Science - Cbd

Carnegie Mellon University

Pittsburgh, PA, US
Pyy basis: hourly; base: not specified; benefits: ...
Not specified (assumed full time on-site)
Master's degree in computational biology or related field
Experience developing algorithms for biological data
Hands-on experience working with large datasets
Carnegie Mellon University is seeking a Research Associate for its Ray and Stephanie Lane Computational Biology Department, located in Pittsburgh, PA. The ideal candidate will have a Master’s degree in a quantitative field and experience in statistical modeling and algorithm development, contributing to research in computational biology

Job Summary

  • The position involves developing algorithms to link enhancers with their cis-regulatory gene targets using single-cell multinome data.
  • Candidates will conduct simulation studies, real-data benchmarking, and implement experimental protocols within the Ray and Stephanie Lane Computational Biology Department.
  • Carnegie Mellon University offers comprehensive benefits including medical insurance, retirement savings, tuition benefits, and a free transit pass.

Matching Summary

Match Score: 85

Carnegie Mellon University is seeking a Research Associate for its Ray and Stephanie Lane Computational Biology Department, located in Pittsburgh, PA. The ideal candidate will have a Master’s degree in a quantitative field and experience in statistical modeling and algorithm development, contributing to research in computational biology.

Salary

Pay Basis: Hourly; Base: Not specified; Benefits: Comprehensive medical, dental, vision, retirement, tuition benefits

Skills & Requirements

Must-have

  • Master's Degree in computational biology or related field
  • Experience developing algorithms for biological data
  • Hands-on experience working with large datasets

Nice-to-have

  • Passion for interdisciplinary collaboration
  • Familiarity with biomolecular condensates research
  • Strong literature review skills

Key Requirements

  • Master's Degree in quantitative field
  • At least one year of hands-on data experience
  • Successful pre-employment background check

Work Rights

Not specified

Tailored Resume

Cover Letter