Research Associate - School of Computer Science - CBD
Not Disclosed•Full-TimeOn-site
location_onLogan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States
About the University and Department
Carnegie Mellon University is a private, global research university that challenges the curious and hardworking to deliver work that matters. Our institution is marked by ambition and a deep, practical engagement with challenges facing society, emphasizing practical problem-solving, interdisciplinary learning, and collaboration.
The Ray and Stephanie Lane Computational Biology Department (CBD) is renowned for its interdisciplinary approach to studying biological systems using computational methods. Faculty and researchers collaborate across fields such as computer science, biology, and statistics to address complex biological questions. Their work spans diverse areas including genomics, bioinformatics, systems biology, and computational neuroscience, driving innovation at the intersection of computation and life sciences.
About the Role
We are searching for a Research Associate to join this creative, dedicated, and close-knit community. In this position, you will assist in the statistical modeling of single-cell multinome data and contribute to manuscript preparation. You will be part of a team where flexibility, excellence, and passion are vital, and where inclusion, collaboration, and cultural sensitivity are deeply valued.
Hiring Process and Application
Are you interested in an exciting opportunity with an exceptional organization? Apply today to join the CMU team. For a comprehensive overview of the benefits available, please explore our Benefits page. To learn more about becoming part of an institution inspiring innovations that change the world, visit "Why Carnegie Mellon."
Equal Opportunity
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. We value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring.
Work location
Work model: On-site
Logan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States
Pittsburgh, Pennsylvania
Key Responsibilities
- check_circleDevelop algorithms to link enhancers with their cis-regulatory gene targets
- check_circleConduct simulation studies and real-data benchmarking
- check_circleConduct literature reviews on biomolecular condensates methodologies
- check_circleAnalyze biological data and single-cell multinome data
- check_circleImplement experimental protocols and document research findings
- check_circleAssist in manuscript preparation for research publications
Requirements
- verifiedMaster's Degree in computational biology, computer science, or related quantitative field
- verifiedAt least one year of hands-on experience working with data
- verifiedExperience developing algorithms
- verifiedSuccessful pre-employment background check
Benefits & Perks
check_circleComprehensive medical, prescription, dental, and vision insurancecheck_circleGenerous retirement savings program with employer contributionscheck_circleTuition benefitscheck_circleAmple paid time off and observed holidaysLife and accidental death and disability insurance
Similar Job Opportunities
Skills, education and keywords
Skills: Statistical Modeling, Single-Cell Multinome Data, Algorithms, Simulation Studies, Data Analysis, Biological Data, Experimental Protocols, Literature Reviews, Computational Biology, Computer Science.
Education: Master's Degree in a related quantitative field.
Frequently asked questions about Research Associate - School of Computer Science - CBD at Software Engineering Institute | Carnegie Mellon University
What does a Research Associate - School of Computer Science - CBD at Software Engineering Institute | Carnegie Mellon University do?expand_more
A Research Associate - School of Computer Science - CBD at Software Engineering Institute | Carnegie Mellon University is responsible for the following: Develop algorithms to link enhancers with their cis-regulatory gene targets; Conduct simulation studies and real-data benchmarking; Conduct literature reviews on biomolecular condensates methodologies; and Analyze biological data and single-cell multinome data.
What are the requirements for this Research Associate - School of Computer Science - CBD role?expand_more
To qualify for the Research Associate - School of Computer Science - CBD at Software Engineering Institute | Carnegie Mellon University position, applicants should have: Master's Degree in computational biology, computer science, or related quantitative field; At least one year of hands-on experience working with data; Experience developing algorithms; and Successful pre-employment background check.
Where is the Research Associate - School of Computer Science - CBD role at Software Engineering Institute | Carnegie Mellon University located?expand_more
Research Associate - School of Computer Science - CBD at Software Engineering Institute | Carnegie Mellon University is based in Logan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States. This is a on-site role.
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Software Engineering Institute | Carnegie Mellon University has listed this Research Associate - School of Computer Science - CBD role as on-site.
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Candidates for Research Associate - School of Computer Science - CBD at Software Engineering Institute | Carnegie Mellon University should have mid level.
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Key skills for Research Associate - School of Computer Science - CBD at Software Engineering Institute | Carnegie Mellon University include Statistical Modeling; Single-Cell Multinome Data; Algorithms; Simulation Studies; Data Analysis; Biological Data; Experimental Protocols; and Literature Reviews.
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Educational requirements for this role: Master's Degree in a related quantitative field.
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Research Associate - School of Computer Science - CBD at Software Engineering Institute | Carnegie Mellon University is part of the scientific & qa job category on Recrutus.