• Job Description

  Req#: 87879

  At Moffitt Cancer Center, we strive to be the leader in understanding the complexity of cancer and applying these insights to contribute to the prevention and cure of cancer. Our diverse team of over 9,000 are dedicated to serving our patients and creating a workspace where every individual is recognized and appreciated. For this reason, Moffitt has been recognized on the 2023 Forbes list of America’s Best Large Employers and America’s Best Employers for Women, Computerworld magazine’s list of 100 Best Places to Work in Information Technology, DiversityInc Top Hospitals & Health Systems and continually named one of the Tampa Bay Time’s Top Workplace. Additionally, Moffitt is proud to have earned the prestigious Magnet® designation in recognition of its nursing excellence. Moffitt is a National Cancer Institute-designated Comprehensive Cancer Center based in Florida, and the leading cancer hospital in both Florida and the Southeast. We are a top 10 nationally ranked cancer center by Newsweek and have been nationally ranked by U.S. News & World Report since 1999.
  Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. Join our committed team and help shape the future we envision.

  Summary

  Comprehensive Benefit Package | Relocation Assistance | Start-Up Package & Research Incentive Plan

  The Department of Machine Learning (ML) at Moffitt Cancer Center, a National Cancer Institute-designated Comprehensive Cancer Center, is seeking a new faculty member in the tenure-earning rank of Assistant Member with research interests in artificial intelligence, decision support systems, machine and deep learning, federated learning, and their application in cancer discovery and clinical care.

  The new faculty will join an expanding ML Department. We currently have faculty initiating a wide range of machine learning research and its application in oncology in collaboration with other members of the Quantitative Science Division, including the Biostatistics and Bioinformatics Department and the Integrated Mathematical Oncology Department, as well as with other research and clinical departments within the cancer center.

  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 tenet of Moffitt culture and an essential part of this department’s philosophy to develop future leaders in the emerging field of machine learning in oncology.

  Position Highlights:

  • Access to extensive retrospective and prospective data for real-world predictive analytics, and other clinical research resources, including an integrated repository of clinical, genomic, imaging, and patient-reported information as well as biospecimens from a large cohort of patients.
  • Collaboration with implementation scientists offers the opportunity to integrate machine learning algorithms into the electronic medical record and clinic workflows to improve clinical care.
  • Access to Moffitt’s extensive computational and rich data resources such as the ML Department features state-of-the-art DGX-A100/DGX-H100/DGX-H200 cluster and machine learning engineers for advanced machine learning applications with retrospective and prospective comprehensive clinical datasets, with a focus on data integration and personalized cancer care.

  The Ideal Candidate:

  • Expertise in artificial intelligence, decision support systems, machine and, deep learning, federated learning, who are interested in applying this expertise to cancer research and translational oncology.
  • Preference will be given to applicants with an outstanding record conducting team science or collaborative research with an emphasis on machine learning in healthcare. Areas of interest include: the applications of deep learning, federated learning, explainability and interpretability of machine learning in outcome modeling, human-machine interaction, clinical decision support, and information retrieval.
  • Demonstrate experience (or potential) as a collaborative or independent researcher with extramurally funded research studies, presentations at national and international conferences, and a record of high-quality peer-reviewed publications.

  Responsibilities:

  • Maintain a productive integrated and/or independent research program in machine learning in oncology.
  • Collaborate on a variety of machine learning research projects both within Moffitt and externally.
  • Engage in educational (e.g., mentorship) and service activities across Moffitt and its affiliates (AI in cancer with USF).
  • Contribute to current and initiate future machine learning applications at Moffitt, as evidenced by a history of peer-reviewed publications and involvement in grant-supported research projects. Ongoing research includes but is not limited to outcome modeling, human-machine interaction, clinical decision support, information retrieval, quantitative imaging (radiomics), digital pathology (pathomics), and computational biology, among others, where machine learning can accelerate cancer discovery and improve care delivery.

  Credentials and Qualifications:

  • Doctorate degree in computer science, engineering, Physics, mathematics, statistics or a relevant field with appropriate research training and experience.

  Academic rank beyond Assistant Member will be commensurate with experience and qualifications. Moffitt is affiliated with the University of South Florida, and a University appointment is available in the rank of Assistant/Associate Professor as applicable in the appropriate departments. Moffitt-based faculty members focus their efforts on research, with minimal expectations for formal teaching.

  Tampa is a thriving metropolitan city that provides its residents with a high quality of life. The Tampa Bay area has become a hub for groundbreaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine, and so much more.

  Questions regarding the position should be directed to: Issam El Naqa, PhD, FIEEE, Search Committee Chair, Department of Machine Learning ([email protected] ).

• About the company

  H. Lee Moffitt Cancer Center & Research Institute is a nonprofit cancer treatment and research center located in Tampa, Florida.

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