Computational Immunology Postdoc: Dynamic Modeling & ML

Cincinnati Children's Hospital Medical Center; Cincinnati (OH); On-site; USD 65,000 - 100,000; Full time

Job summary

Cincinnati Children's Hospital Medical Center seeks a computational research fellow to build mathematical models of the immune system in vivo, using high‑dimensional measurements (single‑cell genomics, chromatin state, proteomics). You will collaborate with immunologists and clinicians to test models and derive insights that guide new therapies.

The position spans mechanistic modeling and deep learning, with an emphasis on interdisciplinary design, rigorous data analysis, and communicating

Qualifications

• Ph.D. in related discipline, MD, or equivalent degree.
• Preferred: PhD in Computer Science, Physics, Biomedical Informatics, Bioinformatics, Epidemiology, Biostatistics or other similar quantitative disciplines.
• Preferred: Experience in a related discipline.

Responsibilities

• Perform analysis and experiments - design, execute, and record analysis and experiments; apply standard scientific protocols to research, and improve current methods and evaluate innovative techniques.
• Communicate results/findings - draft, write, and edit scientific reports, papers, journal articles, and abstracts; present information at meetings, clubs and seminars.
• Innovate and advance departmental capabilities - reproduce, evaluate, research, and improve techniques; maintain records; develop new protocols; troubleshoot and repair software/equipment.

Skills

Mathematical modeling

Computational biology

Data analysis

Python

R

Machine learning

Deep learning

Statistics

High-dimensional data

Education

Ph.D. in related discipline

Preferred: PhD in Computer Science/ Physics/ Biomedical Informatics/ Bioinformatics/ Epidemiology/ Biostatistics

Experience in a related discipline

Tools

Python

R

MATLAB

Jupyter

High-performance computing

Git

Job description

Cincinnati Children's Hospital Medical Center seeks a computational research fellow to build mathematical models of the immune system in vivo, using high‑dimensional measurements (single‑cell genomics, chromatin state, proteomics). You will collaborate with immunologists and clinicians to test models and derive insights that guide new therapies.

The position spans mechanistic modeling and deep learning, with an emphasis on interdisciplinary design, rigorous data analysis, and communicating