Postdoctoral Associate - Pulmonary

University of Florida • Gainesville, FL

4d • Onsite

About The Position

Dr. T.J. Sego is recruiting one Postdoctoral Associate to conduct research in computational biological modeling. The position will develop, implement, calibrate, and validate digital twin architectures and computational workflows for critical care applications. Work includes developing reusable scientific software, model-format libraries, evolutionary ensemble methods, workflow twin testbeds, and dual-timescale refinement frameworks.

The candidate will conduct research aligned with project goals and timelines, lead development of scholarly journal submissions, and help scope future projects and identify follow-up opportunities based on research findings. They will contribute to future research questions, proposals, and related deliverables. The role is in the University of Florida’s Laboratory for Systems Medicine, a collaborative research environment integrating quantitative, clinical, and experimental research. The position is available immediately for one year, with annual renewal subject to performance and funding availability.

Requirements

• Ph.D. in computer science, biomedical engineering, computational biology, systems biology, applied mathematics, or a closely related field.
• Experience in scientific software development, computational modeling, simulation, digital twins, or workflow modeling, demonstrated by peer-reviewed publications.
• Experience with the Python programming language.

Nice To Haves

• Experience with collaborative software development practices, including version control, automated testing, continuous integration and continuous delivery pipelines, and reproducible computational workflows.
• Experience with systems biology model formats, including SBML or Antimony.
• Experience with evolutionary or ensemble-based computational methods, model calibration and validation, or performance and risk assessment.
• Strong communication skills, including effective public speaking and clear, concise writing.
• Relevant peer-reviewed publications by the applicant are appreciated.

Responsibilities

• Develop, implement, calibrate, and validate digital twin architectures and computational workflows for critical care applications.
• Develop reusable scientific software, model-format libraries, evolutionary ensemble methods, workflow twin testbeds, and dual-timescale refinement frameworks.
• Carry out research tasks aligned with project goals and produce deliverables according to project timelines.
• Lead development of research submissions to academic journals.
• Assist with scoping future projects and identifying follow-up opportunities based on project findings.
• Contribute to subsequent research questions, proposals, and related deliverables.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree