Postdoctoral Associate - Pulmonary

Pulmonary • Gainesville, FL

2d

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 postdoctoral associate will carry out research tasks aligned with project goals and deliverables, lead development of academic journal submissions, and assist with scoping future projects and identifying follow-up opportunities based on research findings. The associate will contribute to subsequent research questions, proposals, and related deliverables supporting continued scholarly activity.

The position is in the Laboratory for Systems Medicine at the University of Florida in Gainesville, Florida, where quantitative, clinical, and experimental research are closely integrated. Dr. Sego’s research focuses on computational biological models, simulation methods and software, and applications to critical care, respiratory disease, and immune response. The appointment is available immediately for one year and is subject to annual renewal based on performance and availability of funds. Expected salary is $65,000 annually.

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.
• Strong communication skills, including effective public speaking and clear, concise writing.

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.

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 for scholarly publication.
• Assist with scoping future projects and identifying follow-up work based on project findings.
• Contribute to subsequent research questions, proposals, and related deliverables supporting continued scholarly activity.

What This Job Offers

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