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Recognized by U.S. News & World Report as a top 10 best children's hospitals in the nation for more than 15 years
Second Among All Children's Hospitals for National Institutes of Health (NIH) Funding
Recognized as one of America's Best Large Employers (2025) , America's Best Employers for New Grads (2024)
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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.
MAJOR DUTIES AND RESPONSIBILITIES:
Design, execute, and record laboratory experiments, and analyze the data.
Research and improve current methods and evaluate innovative techniques. Implement this knowledge in the Division/Department.
Present research at laboratory meetings, journal clubs, seminars, and meetings.
Draft, write, and edit scientific reports, papers, journal articles, abstracts, and grants.
Maintain currency in field through continuing education, literature, and seminars.
Attend required Cincinnati Children's training sessions and ensure regulatory compliance with all policies and procedures.
Perform other duties as assigned.
Required:
•Ph.D. in related discipline, MD, or equivalent degree
Preferred:
The ideal candidate will have a quantitative background in computational/systems biology, engineering, computer science, statistics, math, or a related field. He or she will also (1) be a fluent programmer in at least one language (e.g., Python, R, MATLAB) and be willing to develop fluency in other languages, as needed, (2) have research experience in machine learning, bioinformatics and/or mathematical modeling, and (3) a trackable publication record. An enthusiasm and willingness to develop immunology expertise on the job is also necessary.
Market Leading Benefits Including*:
Medical coverage starting day 1 of employment. View employee benefits here.
Competitive retirement plans
Tuition reimbursement for continuing education
Expansive employee discount programs through our many community partners
Shift Differential, Weekend Differential, and Weekend Option Pay Programs
Referral bonus program for current staff!
Support through Employee Resource Groups such as African American Professionals Advisory Council, Asian Cultural and Professional Group, EQUAL - LGBTQA Resource Group, Juntos - Hispanic/Latin Resource Group, Veterans and Military Family Advocacy Network, and Young Professionals (YP) Resource Group
Physical and mental health wellness programs
Relocation assistance available for qualified positions
*Benefits may vary based on FTE Status and Position Type
Primary Location
Location S
Schedule
Full time
Shift
Day (United States of America)
Department
Immunobiology
Employee Status
Regular
FTE
1
Weekly Hours
40
Comprehensive job description provided upon request.
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