Biomedical Digital Twin Factory Lead Technologist

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 analyses Ability to remain focused and consistent in analyzing images / data with standardized procedures Motivated to produce high-quality work and perform with prolonged focus Strong computer skills 3D computer skills Excellent written and verbal communication Proficiency in spreadsheet, slide, word processing and other tools Relevant education and experience may be substituted as appropriate. Preferred Qualifications Experience with medical imaging Experience with DICOM images Salary Range 60,000+ depending on qualifications Working Conditions Image inspection and analysis, requiring high visual acuity and ability to distinguish subtle grayscale changes in images and good color perception for data representation Repetitive use of a mouse and keyboard at a workstation Occasional weekend, overtime and evening work to meet deadlines Other working conditions: Includes work in a light-controlled radiological reading room Office environment with prolonged hours of computer use Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor. Letter of interest Finalists will be invited for in-person interviews that include a brief overview and test analysis Important   for applicants who are NOT current university employees or contingent workers:  You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded.  Once your job application has been submitted, you cannot make changes. Important for Current university employe