Research Associate School of Computer Science CBD (Zhang Lab)

Carnegie Mellon University is a private global research university that stands among the worlds most renowned education institutions. With ground-breaking brain science path-breaking performances creative start-ups big data big ambitions hands-on learning and a whole lot of robots CMU doesnt imagine the future we invent it. If youre passionate about joining a community that challenges the curious to deliver work that matters your journey starts here!

The Ray and Stephanie Lane Computational Biology Department (CBD) at Carnegie Mellon University 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 tackle 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.

CBD is seeking a Research Associate to assist with statistical modeling of single-cell multiome data development of algorithms to link enhancers with their cis-regulatory gene targets simulation studies and real-data benchmarking and manuscript preparation.

Core Responsibilities:

• Lead an independent project on modeling enhancer-gene relationships using single-cell multiome data including:
  • Conducting literature review
  • Designing experiments
  • Developing algorithms
  • Conducting real-data analysis
  • Presenting results in one-on-one and group meetings.
• Summarizes statistical information for analysis examination or presentation; writes technical reports. May build and validate quantitative models.
• Identifies problems and obstacles to progress; develops strategies to solve problems.
• May program software in support of job functions. Attends project meetings.
• Performs related duties as assigned

Adaptability excellence and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can 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.

Qualifications:

• Bachelors Degree required. Masters Degree in a related quantitative field such as computational biology computer science or a related discipline highly desired.
• 1-3 years of relevant work experience required.
• Research data collection and analysis experience.
• Strong problem solving reasoning analytical and communication skills.
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Requirements:

• Successful background check

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

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical prescription dental and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits take well-deserved breaks with ample paid time off and observed holidays and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass access to our Family Concierge Team to help navigate childcare needs fitness center access and much more!

For a comprehensive overview of the benefits available explore our Benefits page.

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; its 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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