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Get Access To All JobsINTRODUCTION
Huntsman Cancer Institute (HCI) at the University of Utah is seeking an Assistant Director of Data Science & AI to join its growing Office of Data Science & AI. This position will work in close partnership with the Senior Director of Data Science & AI, representing the office in institutional and cross-functional meetings, advancing key program initiatives, and helping to build the office’s capacity to deliver AI- and data-driven solutions across HCI’s research and clinical enterprise. This is an excellent opportunity for a computational cancer biologist or data scientist with hands-on experience applying large language models (LLMs) and AI tools to real-world oncology and genomic data, who is ready to take on a leadership role helping to shape the strategic direction and growth of a new institutional data science function.
Huntsman Cancer Institute is committed to cancer prevention, care, and survivorship for all communities within the area we serve – which includes Idaho, Montana, Nevada, Utah, and Wyoming – with impact worldwide.
In your cover letter or during your interview process, we invite you to share how your professional experiences have prepared you to serve as a member of our team as we work to reduce the cancer burden experienced by all people and communities. This may include description of your prior experiences related to research, prevention, clinical care, community engagement/outreach, training, administration, or other areas relevant to Huntsman Cancer Institute’s mission and this position.
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
- Serve as a close partner to the Senior Director of Data Science & AI, representing the office and its initiatives at internal and external meetings, and reporting back on outcomes and action items.
- Assist in the day-to-day leadership and growth of the Office of Data Science & AI, including contributing to program strategy, staffing plans, and onboarding of future team members.
- Design, develop, and deploy LLM-driven and other AI-powered analytical systems that enable natural-language interaction with complex biomedical, genomic, and clinical datasets.
- Develop and apply evaluation frameworks to assess the reliability, safety, and performance of AI-generated outputs for research and clinical use.
- Lead and support analysis of real-world oncology data, including applications related to clinical safety monitoring and translational research.
- Translate research and clinical questions into working analytical pipelines, tools, and dashboards, using languages and platforms such as Python, R, and Streamlit.
- Partner with clinical, translational, and computational research teams across HCI to identify, scope, and deliver high-value data science and AI applications.
- Communicate technical findings and program updates clearly to cross-functional scientific, clinical, and executive audiences, including through presentations, reports, and manuscripts.
- Contribute to grant applications, publications, and conference presentations that showcase the Office of Data Science & AI’s work.
- Coordinate annual symposium, workshops, seminars for the Office of Data Science & AI.
- Mentor rotation students, trainees, and junior staff engaged in data science and AI projects within the office.
MINIMUM QUALIFICATIONS
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).
Department may hire employee at one of the following job levels:
Associate Director, Data Science Management: Requires a bachelor’s (or equivalency) + 10 years or a master’s (or equivalency) + 8 years of directly related work experience.
PREFERENCES
- PhD in oncological sciences, computational biology, bioinformatics, genetics, or a closely related field.
- Demonstrated experience integrating genomic, real-world, and/or clinical data using computational approaches.
- Hands-on experience developing and deploying LLM-based or other AI-driven analytical tools, including prompt engineering and/or evaluation of AI-generated outputs.
- Proficiency in Python, R, and/or Bash, with experience building reproducible computational pipelines.
- Experience with high-throughput genomic data types (e.g., RNA-seq, scRNA-seq, ChIP-seq, epigenomics).
- Strong record of first-author scientific publication and experience presenting research to varied scientific audiences, especially evidence of publication as first-author in implementing LLM/AI for cancer research.
- Excellent written and verbal communication skills, with demonstrated ability to translate technical work for cross-functional and non-technical stakeholders.
- Postdoctoral research experience in an academic cancer center or comparable biomedical research setting.
- Experience with retrieval-augmented generation (RAG), agentic AI frameworks, or other applied LLM architectures.
- Familiarity with Docker, Streamlit, and high-performance computing (HPC) environments.
- Experience mentoring students or junior researchers, and/or prior teaching experience.
- Experience as a scientific writer or communicator (e.g., research summaries, science journalism, or public-facing scientific content).
- Recognition through fellowships, awards, or competitive funding reflecting leadership and excellence in computational or translational cancer research.
Type Benefited Staff
SPECIAL INSTRUCTIONS SUMMARY
ADDITIONAL INFORMATION
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at the: University of Utah Non‑Discrimination page.
Online reports may be submitted at https://oeo.utah.edu
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.
LOCATION
Location: Campus
City: Salt Lake City, UT
PAY RATE RANGE
Pay Rate Range: 140,000 - 175,000
TYPE OF RECRUITMENT
Type of Recruitment: External Posting
CLOSE DATE
Close Date: 11/30/2026
OPEN DATE
Open Date: 10/29/2026
JOB TITLE
Job Title: Data Science Management
WORKING TITLE
Working Title: Assistant Director of Data Science & AI
CAREER PROGRESSION TRACK
Career Progression Track: M00
Track Level: M5 - Associate Director
FLSA CODE
FLSA Code: Computer Employee
PATIENT SENSITIVE JOB CODE?
Patient Sensitive Job Code? No
STANDARD HOURS PER WEEK
Standard Hours per Week: 40
FULL TIME OR PART TIME?
Full Time or Part Time? Full Time
SHIFT
Shift: Day
WORK SCHEDULE SUMMARY
Work Schedule Summary:
VP AREA
VP Area: President
DEPARTMENT
Department: 02274 - HCI Aik Choon Tan Resrch Prog
SPECIAL INSTRUCTIONS SUMMARY
POSTING SPECIFIC QUESTIONS
Required fields are indicated with an asterisk (*).
- What is your highest level of completed education?
- None
- High School Diploma or Equivalent
- Associate Degree
- Bachelor's Degree
- Master's Degree
- Doctorate Degree
- How many years of related work experience do you have?
- Less than 2 years
- 2 years or more, but less than 4 years
- 4 years or more, but less than 6 years
- 6 years or more, but less than 8 years
- 8 years or more, but less than 10 years
- 10 years or more, but less than 12 years
- 12 years or more, but less than 14 years
- 14 years or more
- Do you have any current relatives working in HCI? (Open Ended Question)
APPLICANT DOCUMENTS
REQUIRED DOCUMENTS
- Resume
OPTIONAL DOCUMENTS
- Cover Letter
INTRODUCTION
Huntsman Cancer Institute (HCI) at the University of Utah is seeking an Assistant Director of Data Science & AI to join its growing Office of Data Science & AI. This position will work in close partnership with the Senior Director of Data Science & AI, representing the office in institutional and cross-functional meetings, advancing key program initiatives, and helping to build the office’s capacity to deliver AI- and data-driven solutions across HCI’s research and clinical enterprise. This is an excellent opportunity for a computational cancer biologist or data scientist with hands-on experience applying large language models (LLMs) and AI tools to real-world oncology and genomic data, who is ready to take on a leadership role helping to shape the strategic direction and growth of a new institutional data science function.
Huntsman Cancer Institute is committed to cancer prevention, care, and survivorship for all communities within the area we serve – which includes Idaho, Montana, Nevada, Utah, and Wyoming – with impact worldwide.
In your cover letter or during your interview process, we invite you to share how your professional experiences have prepared you to serve as a member of our team as we work to reduce the cancer burden experienced by all people and communities. This may include description of your prior experiences related to research, prevention, clinical care, community engagement/outreach, training, administration, or other areas relevant to Huntsman Cancer Institute’s mission and this position.
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
- Serve as a close partner to the Senior Director of Data Science & AI, representing the office and its initiatives at internal and external meetings, and reporting back on outcomes and action items.
- Assist in the day-to-day leadership and growth of the Office of Data Science & AI, including contributing to program strategy, staffing plans, and onboarding of future team members.
- Design, develop, and deploy LLM-driven and other AI-powered analytical systems that enable natural-language interaction with complex biomedical, genomic, and clinical datasets.
- Develop and apply evaluation frameworks to assess the reliability, safety, and performance of AI-generated outputs for research and clinical use.
- Lead and support analysis of real-world oncology data, including applications related to clinical safety monitoring and translational research.
- Translate research and clinical questions into working analytical pipelines, tools, and dashboards, using languages and platforms such as Python, R, and Streamlit.
- Partner with clinical, translational, and computational research teams across HCI to identify, scope, and deliver high-value data science and AI applications.
- Communicate technical findings and program updates clearly to cross-functional scientific, clinical, and executive audiences, including through presentations, reports, and manuscripts.
- Contribute to grant applications, publications, and conference presentations that showcase the Office of Data Science & AI’s work.
- Coordinate annual symposium, workshops, seminars for the Office of Data Science & AI.
- Mentor rotation students, trainees, and junior staff engaged in data science and AI projects within the office.
MINIMUM QUALIFICATIONS
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).
Department may hire employee at one of the following job levels:
Associate Director, Data Science Management: Requires a bachelor’s (or equivalency) + 10 years or a master’s (or equivalency) + 8 years of directly related work experience.
PREFERENCES
- PhD in oncological sciences, computational biology, bioinformatics, genetics, or a closely related field.
- Demonstrated experience integrating genomic, real-world, and/or clinical data using computational approaches.
- Hands-on experience developing and deploying LLM-based or other AI-driven analytical tools, including prompt engineering and/or evaluation of AI-generated outputs.
- Proficiency in Python, R, and/or Bash, with experience building reproducible computational pipelines.
- Experience with high-throughput genomic data types (e.g., RNA-seq, scRNA-seq, ChIP-seq, epigenomics).
- Strong record of first-author scientific publication and experience presenting research to varied scientific audiences, especially evidence of publication as first-author in implementing LLM/AI for cancer research.
- Excellent written and verbal communication skills, with demonstrated ability to translate technical work for cross-functional and non-technical stakeholders.
- Postdoctoral research experience in an academic cancer center or comparable biomedical research setting.
- Experience with retrieval-augmented generation (RAG), agentic AI frameworks, or other applied LLM architectures.
- Familiarity with Docker, Streamlit, and high-performance computing (HPC) environments.
- Experience mentoring students or junior researchers, and/or prior teaching experience.
- Experience as a scientific writer or communicator (e.g., research summaries, science journalism, or public-facing scientific content).
- Recognition through fellowships, awards, or competitive funding reflecting leadership and excellence in computational or translational cancer research.
Type Benefited Staff
SPECIAL INSTRUCTIONS SUMMARY
ADDITIONAL INFORMATION
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at the: University of Utah Non‑Discrimination page.
Online reports may be submitted at https://oeo.utah.edu
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.
LOCATION
Location: Campus
City: Salt Lake City, UT
PAY RATE RANGE
Pay Rate Range: 140,000 - 175,000
TYPE OF RECRUITMENT
Type of Recruitment: External Posting
CLOSE DATE
Close Date: 11/30/2026
OPEN DATE
Open Date: 10/29/2026
JOB TITLE
Job Title: Data Science Management
WORKING TITLE
Working Title: Assistant Director of Data Science & AI
CAREER PROGRESSION TRACK
Career Progression Track: M00
Track Level: M5 - Associate Director
FLSA CODE
FLSA Code: Computer Employee
PATIENT SENSITIVE JOB CODE?
Patient Sensitive Job Code? No
STANDARD HOURS PER WEEK
Standard Hours per Week: 40
FULL TIME OR PART TIME?
Full Time or Part Time? Full Time
SHIFT
Shift: Day
WORK SCHEDULE SUMMARY
Work Schedule Summary:
VP AREA
VP Area: President
DEPARTMENT
Department: 02274 - HCI Aik Choon Tan Resrch Prog
SPECIAL INSTRUCTIONS SUMMARY
POSTING SPECIFIC QUESTIONS
Required fields are indicated with an asterisk (*).
- What is your highest level of completed education?
- None
- High School Diploma or Equivalent
- Associate Degree
- Bachelor's Degree
- Master's Degree
- Doctorate Degree
- How many years of related work experience do you have?
- Less than 2 years
- 2 years or more, but less than 4 years
- 4 years or more, but less than 6 years
- 6 years or more, but less than 8 years
- 8 years or more, but less than 10 years
- 10 years or more, but less than 12 years
- 12 years or more, but less than 14 years
- 14 years or more
- Do you have any current relatives working in HCI? (Open Ended Question)
APPLICANT DOCUMENTS
REQUIRED DOCUMENTS
- Resume
OPTIONAL DOCUMENTS
- Cover Letter
See all 1,614+ Green Card AI Data Engineer Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Data Engineer
Document your specialized AI skill stack
PERM requires your employer to define minimum job requirements precisely. Compile proof of your proficiency in tools like TensorFlow, Apache Spark, or MLflow now, so your credentials align cleanly with the job description your employer files with the DOL.
Distinguish EB-2 from EB-3 eligibility early
If you hold a master's degree or can document a bachelor's plus five years of progressive AI data engineering experience, EB-2 may shorten your wait significantly. Confirm your category with your employer before PERM is filed, not after.
Target employers with PERM filing history
Search Migrate Mate to filter AI Data Engineer roles at companies that have previously sponsored PERM-based green cards, so you're targeting employers already familiar with the DOL recruitment and certification process.
Verify your role meets specialty occupation depth
PERM job requirements must reflect the actual complexity of the role. Review the O*NET profile for AI Data Engineer to confirm your duties align with the occupation's defined knowledge areas, which strengthens the DOL certification case.
Ask about PERM recruitment timing before accepting an offer
Employers must complete a mandatory DOL-supervised recruitment period before filing PERM. Ask your hiring manager when that process would start, since delays here push back your I-140 filing and your priority date by months.
Check prevailing wage before negotiating your offer
Your employer's PERM-certified wage must meet the DOL prevailing wage for your job zone and location. Use the OFLC Wage Search to look up the Level I through Level IV thresholds for AI Data Engineer roles in your metro area before finalizing compensation.
Green Card AI Data Engineer: Frequently Asked Questions
Does an AI Data Engineer role qualify for EB-2 or EB-3 green card sponsorship?
AI Data Engineer positions typically qualify for both categories. EB-3 covers roles requiring a bachelor's degree in computer science, data engineering, or a related field. EB-2 applies when the position requires an advanced degree or when you can demonstrate a bachelor's degree plus at least five years of progressive, specialized experience in AI data pipelines or machine learning infrastructure.
How does green card sponsorship differ from H-1B sponsorship for AI Data Engineers?
H-1B visa is a temporary status with a three-year initial period, subject to the annual lottery. Green card sponsorship through PERM and I-140 leads to permanent residency with no recurring renewal. There's no annual cap at the EB-3 level for most countries, though EB-2 and EB-3 backlogs vary significantly by nationality. The PERM process also locks in a priority date, which determines your place in the visa queue.
What does the PERM labor certification process look like for an AI Data Engineer?
Your employer files a labor certification application with the DOL after completing a supervised recruitment process to confirm no qualified U.S. workers are available. For AI Data Engineer roles, the job requirements in the PERM application must match your actual duties and your credentials precisely. USCIS then reviews the I-140 immigrant petition once DOL certifies the application, and your priority date determines when you can file for adjustment of status.
How do I find AI Data Engineer employers who sponsor green cards?
Use Migrate Mate to search for AI Data Engineer roles filtered by employers with green card sponsorship history. Many companies sponsor H-1B workers but haven't filed PERM applications, so filtering specifically for employment-based green card experience narrows your list to employers already familiar with the DOL certification and I-140 filing requirements.
Can my employer start the PERM process while I'm on H-1B or OPT?
Yes. Employers can file PERM regardless of your current immigration status. Starting while you're on H-1B or OPT is common and strategically useful because it establishes your priority date earlier. USCIS allows H-1B holders with an approved I-140 to extend their H-1B beyond the standard six-year limit under AC21 portability rules, which protects your work authorization while the green card process runs.