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Carnegie Mellon University is a private, global research university that challenges the curious and hardworking to deliver work that matters. Our extraordinary institution has distinctive areas of excellence and a culture marked by ambition and a deep, practical engagement with challenges facing society. We continue to produce talented alumni and draw faculty and staff eager to be a part of the university's creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, 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.

We are searching for a Research Associate. The position will assist in statistical modeling of single-cell multinome data as well as manuscript preparation.

• 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

Flexibility, excellence, and passion are vital qualities within CMU. Inclusion, collaboration and cultural sensitivity are valued proficiencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

• 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

• A combination of education and meaningful experience from which comparable knowledge is demonstrated may be considered.

• Successful pre-employment background check.

Joining the CMU team opens the door to an array of exceptional benefits.

employees enjoy a wide array of benefits including as well as a generous with employer contributions. Unlock your potential with , take well-deserved breaks with ample and observed , and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our to help navigate childcare needs, , and much more!

For a comprehensive overview of the benefits available, explore our .

At Carnegie Mellon, 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. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

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