Postdoctoral Infectious Jobs in Texas (NOW HIRING)

Dr. Miraldi'sImmuno-EngineeringLaboratoryseeks 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.

Qualifications - External

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.

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At Cincinnati Children's, we come to work with one goal: to make children's health better. We believe in a holistic team approach, both in caring for patients and their families, and in advancing science and discovery. We strive to do better and find energy and inspiration in our shared purpose. If you want to be the best you can be, you can do it at Cincinnati Children's.

Cincinnati Children's is:

• Recognized by U.S. News & World Report as atop 10 best Children's Hospitals in the nation for more than 15 years

• Consistently among the top 3 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 (2025)

• One of the nation'sAmerica's Most Innovative Companiesas noted by Fortune

• Consistently certified as great place to work

• A Leading Disability Employeras noted by theNational Organization on Disability

• Magnet designated for the fourth consecutive time by theAmerican Nurses Credentialing Center (ANCC)

We Embrace Innovation-Together. We believe in empowering our teams with the tools that help us work smarter and care better. That's why we support the responsible use of artificial intelligence. By encouraging innovation, we're creating space for new ideas, better outcomes, and a stronger future-for all of us.

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