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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 209+ Green Card Data Science Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Data Science Analyst Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Data Science Analyst
Align your degree field to the role
PERM requires your degree to match the job's stated requirements. A data science role citing a computer science or statistics requirement means a business administration degree may not satisfy USCIS, even with years of relevant work experience.
Target employers with PERM filing history
Search DOL PERM disclosure data to confirm an employer has certified labor applications for data science or analyst roles before. Companies with existing PERM infrastructure move faster and make fewer filing errors than first-time sponsors.
Request your prevailing wage tier upfront
Your employer's PERM filing locks in a wage level using OFLC Wage Search data. A Level I or II wage tied to your title can create compliance issues later if your responsibilities are senior-level. Clarify this before the offer letter is finalized.
Use Migrate Mate to filter sponsoring employers
Search for Data Science Analyst positions with active green card sponsorship history directly on Migrate Mate. Filtering by employers who have filed PERM applications for this role saves weeks of manual research.
Distinguish EB-2 and EB-3 with your credentials
EB-2 requires a master's degree or a bachelor's plus five years of progressive experience in data science. If your background qualifies under both categories, discuss dual filing with your employer's immigration team before the I-140 is submitted.
Anticipate the recruitment documentation window
PERM requires your employer to complete DOL-mandated recruitment steps, including job postings and internal notices, before filing. This window typically runs 60 to 180 days and cannot begin until after you have accepted the offer.
Green Card Data Science Analyst: Frequently Asked Questions
Does a Data Science Analyst role qualify for EB-2 or EB-3 sponsorship?
Most Data Science Analyst positions qualify under EB-3 as skilled workers requiring a bachelor's degree. If the role requires a master's degree or you hold a bachelor's plus at least five years of progressive experience in the field, your employer may file under EB-2 instead. Some employers file under both categories simultaneously to give you the fastest path to an approved I-140.
How does PERM green card sponsorship differ from H-1B for this role?
H-1B visa is a temporary, nonimmigrant status capped at 85,000 slots annually with a lottery for most applicants. PERM-based green card sponsorship has no annual cap at the petition level and results in permanent residency rather than a renewable work authorization. The tradeoff is timeline: PERM labor certification alone takes six months to over a year before the I-140 is even filed, and priority date backlogs apply for some nationalities after approval.
Which employers typically sponsor Data Science Analyst green cards?
Technology companies, financial services firms, healthcare systems, and management consulting groups are consistent sponsors for data science roles. The strongest signal is a company's existing PERM filing history for analyst-level positions, which you can verify through DOL's public disclosure data. Employers with dedicated immigration support teams process PERM applications more reliably than those using outside counsel on an ad-hoc basis.
How can I find Data Science Analyst jobs that include green card sponsorship?
Migrate Mate lets you filter job listings specifically by employers with a documented history of PERM and EB-2 or EB-3 filings for data science roles. This removes the guesswork of asking each employer whether they sponsor and surfaces companies that have already navigated the PERM process for comparable positions.
What documents should I prepare before approaching a sponsor employer?
Gather official transcripts showing your degree field and level, a detailed employment history that maps your titles and responsibilities to O*NET's Data Science Analyst occupation profile, and any certifications relevant to the role such as cloud platform credentials. If your degree is from outside the U.S., a credential evaluation from a NACES-member organization strengthens your PERM record and reduces the risk of a USCIS Request for Evidence on the I-140.