Assistant Scientist/Engineer (Ma Lab) - CBD - School of Computer Science

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) 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.

We are seeking an Assistant Scientist/Engineer that will aid in research and leading a range of machine learning projects related to genomic data.

Core Responsibilities

• Design, implement, and test machine learning algorithms to analyze high-dimensional genomic datasets.
• Collaborate with genomic researchers to interpret results and refine computational methods.
• Develop reproducible pipelines for data preprocessing, feature extraction, and model evaluation.
• Maintain and document codebases, ensuring scalability and accessibility for the broader team.
• Develop code for LLM tailor toward genomic data.
• Present research findings at internal meetings and external conferences.

Flexibility, excellence, and passion are vital qualities within CMU. Inclusion, collaboration and cultural sensitivity are valued competencies 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.

Qualifications

• Master’s Degree in Computer Science, Bioinformatics, Computational Biology, or a related field.
• 1 to 3 years experience in a relevant field associated with the required degree
• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and LLM development.
• Familiarity with genomic data types (e.g., sequencing data, epigenomic data). Proficiency in programming languages such as Python, R, or C .
• A combination of education and meaningful experience from which comparable knowledge is demonstrated may be considered.

Requirements

• Successful background investigation may be required.

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

Those employees who are benefits eligible have the opportunity to experience the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also unlock your potential with tuition benefits and take well-deserved breaks with ample paid time off and observed holidays. Finally, rest easy knowing you are covered by life and accidental death and disability insurance. 

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

For a comprehensive overview of the benefits that may be awaiting you, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role and responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique skills and the diverse 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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Full Time/Part time

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