Tenure-Earning Vice Chair for Clinical Machine Learning

Key Skills

Aartificial intelligence, Effective communication skills, Machine learning techniques

Job Description

At Moffitt Cancer Center, we come face-to-face with cancer every day, but we also see courage. And it inspires us to be the safest and best place for cancer care – to bring greater hope to every patient we serve. It’s why we’ve been continually named One of the Top Places to Work in the Tampa Bay Area. As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Moffitt is the leading cancer hospital in both Florida and the Southeast and has been nationally ranked by U.S. News & World Report since 1999. Because working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. Join a dedicated, diverse and inclusive team of over 7,000 to be a part of the Courageous future we envision.

Summary

Whole Person Benefit Packages | Relocation Assistance |Start-Up Packages & Research Incentive Plans

The Department of Machine Learning (ML) at Moffitt Cancer Center, a National Cancer Institute-designated Comprehensive Cancer Center, is seeking a faculty member in the tenure-earning rank of Senior Member to become the Vice Chair to join an expanding ML Department, which is a first of its kind in oncology.

Moffitt Cancer Center is characterized by a culture of collegiality and team science, facilitating cross-disciplinary collaborations for cancer research and mentoring. Faculty development is a tenant of Moffitt culture and an essential part of the Vice Chair to assist with developing future leaders in the emerging field of machine learning in oncology.

Position Highlights:

The Vice Chair for Clinical Machine Learning (VC - CML) develops and operationalizes Moffitt’s strategic roadmap for the utilization of Artificial Intelligence/Machine Learning (AI/ML) in clinical settings, including the assessment and prioritization of commercial products and research prototypes of developed machine learning algorithms for oncology (e.g., EHR, radiology, pathology, clinical trials, or radiation oncology). The VC-CML also assists the Chair of Machine Learning with academic leadership activities (e.g., recruitment, mentoring, retention, budgeting, strategic planning).

Local Resources Include:

• Clinical and scientific expertise across a spectrum of oncology-related disciplines.
• A large health data warehouse of clinical and outcome information on over 600,000 patients.
• An institutional biobank with over 130,000 consented patients.
• The ML Department features state of the art DGX-A100 cluster.

Ideal Candidates Should Have:

• PhD and/or MD with expertise in the application of AI/ML to clinical workflows and processes.
• Technical AI/ML knowledge and skills ideally obtained through formal training in AI and ML, with demonstrated track record in the field.
• Experience optimizing clinical workflow and/or implementing clinical decision support tools that leverage AI/ML; documented examples of significant work in this area is preferred.
• Excellent interpersonal communication skills; ability to build team consensus with diverse groups of stakeholders; leads through positive influence.
• Experience obtaining NIH-grants funding as an independent PI.

Moffitt is affiliated with University of South Florida and a University appointment is encouraged.

Please do attach a cover letter and CV. Review of applications will begin immediately and continue until the position is filled. Start date is flexible.