Postdoctoral Research Fellow (Miraldi) Computational Systems Biology

CO00 Children's Hospital Medical Center

United States

On-site

USD 80,000 - 100,000

Full time

14 days+
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Job summary

CO00 Children's Hospital Medical Center in Cincinnati, Ohio is seeking a computational research fellow to develop mathematical models of the immune system using advanced techniques. The role involves collaboration with physicians and experimental colleagues to improve pediatric health through innovative research.

The ideal candidate will possess a Ph.D. in a relevant field and have experience in computational biology and data analysis. A full-time position with a focus on both research and mentorship is offered.

Qualifications

  • Ph.D. in a related discipline, MD, or equivalent degree.
  • Experience in related disciplines and ability to collaborate.

Responsibilities

  • Perform design and execution of experiments.
  • Draft and edit scientific reports and papers.
  • Innovate and improve departmental techniques.
  • Assist in grant applications and budgeting.
  • Manage and train support staff and students.

Skills

Collaboration with experimental immunologists
Data analysis and interpretation
Mathematical modeling

Education

Ph.D. in Computer Science, Physics, Biomedical Informatics, or related field

Job description

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 (dynamic gene regulatory networks) to deeplearning (prediction of cellular epigenomes from DNA sequence). Situated at Cincinnati Children’s Hospital, we are dedicated to designing computational methods and systems‑immunology studies that will ultimately improve the health of children. Through close collaboration with physicians and experimental colleagues, we iteratively test and refine our models to yield novel insights into immune‑cell function and guide new therapeutic strategies in autoimmunity, infectious disease, and cancer.

Responsibilities
  • Perform analysis and experiments: design, execute, record analysis and experiments; apply standard scientific protocols; develop and implement human‑subject and vertebrate animal research protocols; prepare, clean, and analyze data; conduct regular quality and reproducibility checks; maintain accurate records.
  • Communicate results/findings: draft, write, and edit scientific reports, papers, journal articles, and abstracts; present research at meetings, journal clubs, and seminars; discuss insights with faculty and provide recommendations.
  • Innovate and advance departmental capabilities: reproduce, evaluate, and improve existing techniques; adapt new methods to existing procedures; develop and verify new procedures; standardize published procedures; troubleshoot and correct erroneous results; maintain and repair software and equipment.
  • Financial/Budgeting: assist in preparing grant applications; prepare, write, and maintain fiscal budget; monitor expenditures; prepare capital expenditure requests.
  • Staff leadership and training: provide functional leadership for a team; manage support staff; guide work assignments; serve as mentor and provide training to employees.
  • Education and training: serve as course master and develop new courses; deliver lectures; evaluate student performance; assist in training new employees.
Qualifications
  • Ph.D. in a related discipline, MD, or equivalent degree; preferred: Ph.D. in Computer Science, Physics, Biomedical Informatics, Bioinformatics, Epidemiology, Biostatistics, or other quantitative disciplines.
  • Experience in a related discipline and ability to collaborate closely with experimental immunologists, physicians, and computational biologists.

Primary Location: Cincinnati, Ohio
Schedule: Full time, Day
Department: Immunobiology

We are committed to equal employment opportunity. 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.

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