Job Posting Title:
Biomedical Digital Twin Factory Lead Technologist ----
Hiring Department:
Oden Institute ----
Position Open To:
All Applicants ----
Weekly Scheduled Hours:
40 ----
FLSA Status:
Non-Exempt from FLSA ----
Earliest Start Date:
Oct 01, 2026 ----
Position Duration:
Expected to Continue ----
Location:
UT MAIN CAMPUS ----
Job Details:
General Notes
The Biomedical Digital Twins Factory is a new, state-of-the-art facility for image analysis and model construction for medical digital twins. It supports the clinical research and educational mission of the Center for Computational Medicine - a collaboration between the Oden Institute and the Dell Medical School at The University of Texas at Austin. This position reports to Prof. Charles Taylor, the W.A. “Tex” Moncrief, Jr., Chair in Computational Medicine.
The Oden Institute is an organized research unit that fosters interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and computational visualization.
The University of Texas at Austin is a nationally ranked, tier-one research institution and one of the largest employers in central Texas. UT is located in the heart of Austin, a vibrant city that frequently appears on lists of best cities to live and work. Committed to recruiting and retaining a varied and talented workforce, the university offers competitive salaries and benefits, an extensive support network, and above all, an enriching and highly collaborative community that is deeply passionate about our vision for higher education and public service.
UT Austin offers a competitive benefits package that includes:
100% employer-paid basic medical coverage
Retirement contributions
Paid vacation and sick time
Paid holidays
Please visit our Human Resources (HR) website to learn more about the total benefits offered.
Purpose
The Biomedical Digital Twin Factory Lead Technologist leads the core lab operations for developing and updating digital twins using 1) medical imaging (such as MRI and CT scans) and 2) multi-modal data (genomics and other physiological data). Digital twins are computer models based on anatomical and functional data, are updated in time with new information from imaging or physiologic data and can be used to predict risk for developing disease, response to potential therapies, or other physiological health and performance metrics.
In this role, you will work with the research team, software developers, analyst staff, and graduate students in the implementation, documentation, and management of image and data processing. You will analyze data, draft and review work instructions and standard operating procedures, train other staff at UT as well as collaborators, and provide feedback regarding image and data processing pipelines.
Responsibilities
Interact with medical imaging research workstation tools to extract anatomy and function data from 2D, 3D, and 4D data sets for the construction of personalized digital twins
Write instructions for as well as p erform standardized image and data quality checks to decode whether received image and other data match expected protocol and formats. Provide written testing and feedback using screenshots on newly developed image and data analysis and clinical support tools
Interact with researchers and clinicians to understand image and data quality impacts, and implement in educational responsibilities
Lead 1-1 and small group demonstrations and trainings of lab pipelines, image quality, and image analysis tools, and document and track qualification and re-qualification
Required Qualifications
Bachelor's degree in a relevant field
Degree or formal training in 3D Modeling, 3D Animation, Medical Visualization, Computer Graphics, or a related discipline.
Additional Required Skills:
Visual and detail inspection skills
Adaptive, open learner, open to corrective feedback in image…