Postdoctoral Research Fellow - McWilliams School of Biomedical Informatics

UTHealth Houston • Houston, TX

4d

About The Position

The Postdoctoral Research Fellow position at the McWilliams School of Biomedical Informatics provides an opportunity for an early-career researcher to gain experience, develop independent research skills, and contribute to scientific knowledge in biomedical informatics. The role focuses on applying artificial intelligence, data science, and informatics to patient care, disease prevention, and biomedical discovery.

The fellow develops and validates deep-learning models for CT, MRI, and PET images, including segmentation, detection, and prognostic or risk models. The position also explores multimodal integration of imaging with EHR data, clinical notes, laboratory results, and omics data, and develops interpretable models with calibrated uncertainty. The fellow maintains reproducible experiment practices, collaborates with clinicians on study design and validation, contributes to manuscripts and grant applications, and mentors students.

The position requires a doctoral or terminal degree. Employees must permanently reside and work in Texas. The position may be security-sensitive and may require the ability to maintain the security or integrity of critical infrastructure, with routine reviews of relevant security considerations.

Requirements

• Doctoral or terminal degree.
• Strong written and oral communication skills.
• Interpersonal skills to collaborate and communicate effectively with individuals at all levels.
• Must permanently reside and work in the State of Texas.
• For roles requiring research, work on, or access to critical infrastructure, ability to maintain the infrastructure's security or integrity.

Responsibilities

• Develop and validate deep-learning models for medical images, including segmentation, detection, and prognostic or risk models.
• Explore multimodal fusion of imaging with EHR and clinical notes, laboratory data, and omics data; design interpretable models with calibrated uncertainty.
• Maintain experiment hygiene, including Git and Docker, unit tests, experiment tracking with MLflow or W&B, and data versioning with DVC.
• Collaborate with clinicians and help design IRB protocols, prospective validations, and real-world deployment.
• Write and submit manuscripts and assist with grants.
• Mentor students.
• Plan and conduct experiments, analyze data, and prepare publications describing results.
• Assist in training and mentoring lab personnel, including graduate students and other trainees.
• Read and evaluate literature.
• Collaborate and communicate effectively with individuals at all levels.
• Perform other duties as assigned.

Benefits

• 100% paid medical premiums for full-time employees.
• Around 37–38 days per year of time off, including holidays, a preventative leave day, vacation, and sick time.
• Vacation accrual increases with length of service.
• Retirement/pension plan.
• Free financial and legal counseling.
• Free mental health counseling services.
• Gym membership discounts and access to wellness programs.
• Employee discounts, including entertainment, car rentals, and cell phones.
• Resources for child and elder care.

What This Job Offers

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