Postdoctoral Scholar-Pediatrics Infectious Disease

UT Health Sciences; Memphis (TN); On-site; USD 52,000 - 62,000; Full time

Job summary

UT Health Sciences in Memphis, TN, invites applications for a Postdoctoral Scholar to develop and analyze mathematical models of immune response to infections. The Smith lab combines dry and wet lab work to generate datasets for model validation and hypothesis testing.

Responsibilities include building infection models, parameter estimation from experimental data, experimental design support, data interpretation, and manuscript preparation for journals and grant proposals.

Qualifications

• Ph.D. in a relevant discipline (e.g., Mathematics, Physics, Computer Science, Software Engineering, etc.).
• Prior experience in modeling viral infections, bacterial infections, and/or immune response dynamics.
• Experience with parameter estimation techniques and data-driven modeling.

Responsibilities

• Develops and analyzes dynamical infection models.
• Utilizes parameter estimation to investigate experimental and clinical data.
• Helps design new experiments.
• Conducts mechanistic and computational modeling of within-host infectious disease dynamics in support of R01.
• Generates new hypotheses about respiratory infection biology.
• Presents findings at lab meetings, seminars, and conferences.
• Maintains accurate records and ensures reproducibility of results.
• Prepares manuscripts for peer-reviewed journals and contributes to grant proposals.
• Performs other duties as assigned.

Skills

Python

Matlab

Communication

Education

Ph.D. in relevant discipline

Tools

Python

Matlab

Job description

THIS IS A GRANT-FUNDED POSITION FUNDED UNTIL APRIL 30, 2031

THIS IS A GRANT-FUNDED POSITION FUNDED UNTIL APRIL 30, 2031

The Postdoctoral Scholar develops and analyzes mathematical models of the immune response to viral and bacterial infections. The Smith lab is a dual dry/wet laboratory and uniquely generates robust data sets to train and validate model predictions.

Responsibilities

• Develops and analyzes dynamical infection models.
• Utilizes parameter estimation to investigate experimental and clinical data.
• Helps design new experiments.
• Conducts mechanistic and computational modeling of within-host infectious disease dynamics in support of R01.
• Generates new hypotheses about respiratory infection biology.
• Presents findings at lab meetings, seminars, and conferences.
• Maintains accurate records and ensures reproducibility of results.
• Prepares manuscripts for peer-reviewed journals and contributes to grant proposals.
• Performs other duties as assigned.

Qualifications

Ph.D. in a relevant discipline (e.g., Mathematics, Physics, Computer Science, Software Engineering, etc.)

Prior experience in modeling viral infections, bacterial infections, and/or immune

response dynamics. Experience with parameter estimation techniques and data-driven modeling.

Knowledge, Skills, And Abilities

• Proficient programming skills in Python and/or Matlab.
• Excellent oral and written communication skills.

WORK SCHEDULE: This position may occasionally be required to work weekends and evenings.