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Cincinnati Children's is seeking a computational research fellow to develop mathematical models of the immune system through collaborative approaches with experimental immunologists. This full-time position involves designing experiments and analyzing complex data to drive new insights into immune-cell function.
The ideal candidate will hold a Ph.D. or equivalent in a relevant discipline and possess a strong background in computational biology or a related field. The role offers a unique opportunity to contribute to impactful research in pediatric health.
Dr. Miraldi’s Immuno-Engineering Laboratory seeks a computational research fellow to build mathematical models of the immune system in vivo. These models will be constructed from cutting‑edge, high‑dimensional, immune‑system measurements (e.g., single‑cell genomics, chromatin state, proteomics). Our mathematical modeling frameworks span mechanistic (e.g., dynamic gene regulatory networks) to deep learning (e.g., prediction of cellular epigenomes from DNA sequence). Situated at Cincinnati Children’s Hospital, we are dedicated to the design of computational methods and systems‑immunology studies that will ultimately improve the health of children. Through close collaboration with our physician and experimental colleagues, we iteratively test and refine our models, so that the models yield novel insights into immune‑cell function and ultimately guide new therapeutic strategies in the context of autoimmunity, infectious disease and cancer. The ideal candidate will collaborate closely with experimental immunologists, physicians and other computational biologists. The team will design and execute hybrid computational‑experimental strategies that push the boundaries of both immunology and computational biology.
Primary Location: Location S
Schedule: Full time
Shift: Day (United States of America)
Department: Immunobiology
Employee Status: Regular
FTE: 1
Weekly Hours: 40
Cincinnati Children’s is proud to be an Equal Opportunity Employer committed to creating an environment of dignity and respect for all our employees, patients, and families. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, genetic information, national origin, sexual orientation, gender identity, disability or protected veteran status. EEO/Veteran/Disability