at The University of Texas at Austin
Full TimeJob Posting Title:
Clinical Research Fellowship in Artificial Intelligence & Machine Learning in Congenital Cardiac Care----
Hiring Department:
Department of Pediatrics----
Position Open To:
All Applicants----
Weekly Scheduled Hours:
40----
FLSA Status:
Exempt----
Earliest Start Date:
Immediately----
Position Duration:
Expected to Continue Until Jun 30, 2026----
Location:
UT MAIN CAMPUS----
Job Details:
General Notes
Co-sponsored by the Texas Center for Pediatric and Congenital Heart Disease (Dell Medical School at UT-Austin and Dell Children’s Medical Center) and AI Institute for Foundations of Machine Learning (IFML) at UT-Austin
Purpose
To facilitate the integration of artificial intelligence (AI) and machine learning (ML) by clinicians and researchers to advance the care of patients and the field of congenital heart disease (CHD).
Length: 2 years
Responsibilities
Support the design and execution of research studies that apply AI/ML techniques to answer foundational problems in congenital cardiac care under the mentorship of clinician faculty from the Heart Center and computer science researchers at the Machine Learning Laboratory
Participate in clinical, quality, and research conferences at the Heart Center
Participate in a smaller clinical research projects with Heart Center faculty (to allow fellows to gain a broader understanding of clinical research and have significant academic productivity to allow them to be competitive for residency/fellowship)
Option: Complete the Master’s of Artificial Intelligence Program at UT Austin (https://cdso.utexas.edu/msai)
Potential for limited clinical work to maintain clinical skills (contingent upon eligibility and hospital system clearance.)
Examples of types of projects:
Development of ML algorithms to predict clinical outcomes
Diagnosis and screening of diseases or complications using high-fidelity data
Use of large-language models to analyze qualitative data
Analysis and identification of patterns from complex clinical data
Creation of expected clinical trajectories based on large clinical datasets
MD, MD/PhD degree or equivalent. Passion and drive to advance the care of children and adults with congenital heart disease through technology and research. Working knowledge or experience with computer science, modeling, complex statistical analysisAbility to make a 2-year commitment to the program
Relevant education and experience may be substituted as appropriate.
2 years of clinical experience as part of a residency program. Undergraduate or graduate degree in computer sciences, mathematics, statistics, electrical engineering, computer engineering, artificial intelligence, or related sciences. Research experience in the medical field, ideally in fields related to computer science and complex statistical analysis. Strong interest in congenital heart disease and cardiovascular health.
$75,000 + depending on qualifications
Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
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 employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
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Employment Eligibility:
Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.----
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.----
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
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Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
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Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
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Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
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Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.
Yearly based
UT MAIN CAMPUS
