Postdoc Fellow – Machine learning for Cancer Diagnosis and Response Prediction

Key Skills

Aartificial intelligence, Algorithms, C Programming, C++, Deep Learning, Machine learning techniques, MATLAB Programming, Python Programming, R Programming

Job Description

Dr. Issam El Naqa’s lab seeks to hire a post-doctoral fellow to join the tremendous opportunities to do cutting-edge research in his lab and develop a stellar career in the emerging domain of machine learning in cancer. The specific project will be related to developing machine learning algorithms for cancer diagnosis and response modeling using molecular and imaging data (pan-omics) with new deep, generative AI, and reinforcement learning approaches. To learn more about the projects in Dr. El Naqa’s Lab, visit https://lab.moffitt.org/elnaqa/research/.

Position Highlights:

• The position offers a unique opportunity to work in a world-class research environment, with state-of-the-art facilities and with strong collaboration with many researchers and clinicians from diverse fields.
• It also offers exciting opportunities that include but not limited to developing new algorithms for molecular data (genomics, transcriptomics, etc), medical image analysis (radiomics, pathomics), image-guidance and adaptation, generative AI, foundation models, federated machine learning, dynamic decision support, and computational modeling of treatment outcomes.
• Moffitt integrates excellent patient care with cutting-edge clinical and basic research and wealth data for advanced machine learning applications. Having a cancer hospital on-site provides unique opportunities for clinical translational research.
• Outstanding mentorship from expert faculty with wide-ranging funded research programs from NIH and DoD including T32 Training Grants.
• You will be encouraged and supported to apply for training grants and pursue IP applications. 

The Ideal Candidate:

• Genomics, Medical image analysis and/or pattern recognition knowledge.
• Familiarity with conventional machine, generative, and deep learning algorithms.
• Good computing and programming skills are important for this position preferably in Python Matlab, R, or C/C++. 

Responsibilities:

• Develop new algorithms for deep learning and generative AI with integrated genomics and imaging information for predicting and adapting decision making for diagnostic and prognostic applications in cancer.
• Collaborate with team members on developing new tools for optimal dynamic decision support applications, manuscript writing, and generating data for grant applications. 

Credentials and Qualifications:

• A PhD or equivalent degree in Computer Science, Medical Physics, Physics, Electrical or Biomedical Engineering, or related discipline is required.
• Should have at least one first Author publication.

Moffitt Postdocs are provided free employee-only Medical and eligible for Dental, Vision, Paid Time Off, Retirement, Parental Leave and more. With a move to Tampa, you may be eligible for relocation allowance per policy. Reason to relocate, aside from the sunshine, beaches and year-round outdoor recreation associated with the Gulf Coast of Florida, Tampa is a thriving metropolitan city with unique cultural attractions, low cost of living and a high quality of life. We strive for work/life balance.