Research Associate - School of Computer Science - CBD

Carnegie Mellon UniversityPittsburgh, PA
Onsite

About The Position

Carnegie Mellon University's Ray and Stephanie Lane Computational Biology Department (CBD) is seeking a Research Associate to assist in the statistical modeling of single-cell multinome data and manuscript preparation. The department is renowned for its interdisciplinary approach, combining computer science, biology, and statistics to tackle complex biological questions in areas like genomics, bioinformatics, systems biology, and computational neuroscience. We are looking for a team member who embodies flexibility, excellence, and passion, and who values inclusion, collaboration, and cultural sensitivity. This role requires effective interaction with a diverse range of internal and external partners with a high level of integrity, supporting the university's mission through their work.

Requirements

  • Master's Degree in a related quantitative field such as computational biology, computer science or a related discipline
  • At least one year of hands-on experience working with data
  • Experience developing algorithms
  • Successful pre-employment background check

Responsibilities

  • Developing algorithms to link enhancers with their cis-regulatory gene targets
  • Simulation studies and real-data benchmarking
  • Working with and analyzing biological data
  • Developing data
  • Implementing experimental protocols and documenting research
  • Conducting literature reviews to stay updated on the latest methodologies in biomolecular condensates

Benefits

  • Comprehensive medical insurance
  • Prescription insurance
  • Dental insurance
  • Vision insurance
  • Generous retirement savings program with employer contributions
  • Tuition benefits
  • Ample paid time off
  • Observed holidays
  • Life insurance
  • Accidental death and disability insurance
  • Free Pittsburgh Regional Transit bus pass
  • Access to Family Concierge Team
  • Fitness center access

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

501-1,000 employees

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