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Faculty Position in AI & Informatics

Job ID 326161 Date posted 02/06/2024
  • Rochester, MN
  • Full Time
  • Artificial Intelligence & Informatics
  • Remote: No
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Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.


Responsibilities

Mayo Clinic's Department of Artificial Intelligence and Informatics is searching for new faculty members to join our team!  Positions are available at all Mayo Clinic locations (Jacksonville, FL; Rochester, MN; and Scottsdale, AZ). The ideal candidate will have a demonstrated history of extramural funding including NIH or NIH-equivalent and a strong promise for meritorious, competitive extramural funding. They will also value collaborative team science endeavors and will be an active participant in the Department of AI&I. Candidates are expected to have extensive experience in cutting edge AI technologies and their applications in healthcare.  Success will be measured by securing extramural funding as PI; providing team-science leadership on impactful studies; building collaborative networks with researchers across the Mayo Clinic enterprise and the communities we serve; mentoring team members that include junior faculty, postdoctoral fellows, and allied health staff; leading national efforts such as scientific committees or national societies; and providing educational contributions within and outside of Mayo Clinic.

The Department of Artificial Intelligence and Informatics 

Mayo Clinic's Department of Artificial Intelligence and Informatics includes clinical and research faculty, as well as operational staff who engage in the development and use of informatics and digital technology to improve human health.

The department promotes research for advancing the methods, applications and infrastructure in digital medicine with the emphasis on the synergy of people, processes and technology, representing a multidisciplinary unification based on biomedical, computational and social sciences. Research in the department is focused on topics including artificial intelligence modeling, clinical research informatics, knowledge induction and dissemination for clinical practice, precision medicine informatics, consumer informatics, quantitative medicine and many more.

Mayo Clinic

Mayo Clinic was recently named as the No. 1 hospital leading in artificial intelligence readiness, according to CB Insights. With a 73,000-person workforce, Mayo Clinic cares for more than 1.3 million people each year with serious or complex illnesses from all 50 U.S. states and 130 countries. Mayo Clinic is the largest not-for-profit, multidisciplinary academic medical center in the world with over 4,000 physicians and scientists in an integrated multi-campus system spanning the globe. The unified mission at Mayo Clinic is to provide the best patient care, backed by our expertise and supported by innovation in education, research and practice, to bring hope and healing in times of need. We embrace collegial relationships among campuses (Arizona, Florida and Minnesota) allowing for best practices and innovation to help solve the most serious complex medical challenges-one patient at a time.  

We support a vibrant and diverse research enterprise, with programs in basic, translational, clinical, population, and data sciences. In 2023, the institution received over $689 million in extramural research awards, supplemented with over $445 million of institutional support. Laboratories and shared resource facilities are state-of-the-art, including those for biomolecular analysis, molecular development, data analytics, specimen processing, and structural testing and imaging. Mayo Clinic supports innovation and has a wealth of resources available – including an integrated health record and collaboration with top specialists.



Qualifications

Candidates must have a PhD, MD or equivalent degree in their respective disciplines with a strong quantitative science background. We are recruiting for doctorally-prepared early-, mid-stage, or established investigators with expertise in natural language processing, biomedical data processing, and data analysis.  Early stage candidates should have demonstrated scientific productivity and evidence of successful external funding (e.g. R21, R00). Middle or senior level candidates should have national leadership and strong extramural funding records.

Applications should include a full CV/Bibliography, statement of research interests, statement of contributions to equity/inclusion/diversity, and the names/contact information of five references. 

As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.



Exemption Status

Exempt

Compensation Detail

The minimum starting salary for research specialties may range from $109,500 to $266,500. This range reflects full-time total base compensation prior to consideration of additional experience or duties. Pay for the selected candidate will vary based on specialty, experience, FTE, internal equity, or external market data.

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

80

International Assignment

No

Recruiter

Jennifer Schilbe
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