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

The Rasool Lab at Moffitt Cancer Center, within the Department of Machine Learning, advances cancer care through AI-driven innovation. This position provides an opportunity to lead research in multimodal learning and large language models (LLMs) for medical data, driving breakthroughs in cancer diagnostics, prognostics, and treatments.

Position Highlights: 
•    Work in a premier research environment with cutting-edge facilities and collaborations with clinicians, researchers, and industry partners.
•    Develop and optimize multimodal machine learning and LLMs for cancer-related data.
•    Address diverse applications, including medical imaging, natural language processing, predictive modeling, genomics, and clinical data integration.
•    Enhance patient outcomes by analyzing complex datasets using advanced AI tools.
•    Collaborate with domain experts to coordinate workflows, benchmark tools, and support novel AI methodologies in cancer research.

The Ideal Candidate:
•    Proficient in advanced Python programming and deep learning frameworks with PyTorch expertise.
•    Skilled in developing LLMs, Transformer architectures, and multimodal learning techniques.
•    Experienced in integrating diverse medical datasets, including imaging, genomics, and clinical data.
•    Familiar with high-performance computing and cloud environments for training large-scale models.
•    Competent in deploying scalable, reliable AI models while ensuring data privacy compliance.
•    Strong communicator with the ability to collaborate across multidisciplinary teams.
•    Dedicated to advancing foundation models and multimodal AI applications in healthcare.
•    Skilled in data preprocessing, model evaluation, and advanced AI techniques like multimodal data fusion.
•    Experience with Git, Docker, and task management tools.
•    Effective communicator with a track record of collaboration in multidisciplinary teams.
•    Committed to ethical AI practices and safeguarding sensitive data.

Responsibilities: 
•    Design and optimize multimodal AI models using radiology, pathology, genomic, and clinical datasets.
•    Fine-tune LLMs and Transformer-based architectures for healthcare, ensuring accuracy and interpretability.
•    Build scalable pipelines for data processing, model training, and deployment using advanced frameworks.
•    Collaborate with clinicians and data architects to integrate AI models into clinical workflows.
•    Benchmark and evaluate cutting-edge AI tools for innovative cancer care solutions.
•    Manage large medical datasets, ensuring quality, efficiency, and compliance with privacy regulations.
•    Deploy high-performance computational solutions in research clusters or cloud environments.
•    Prepare technical documentation and data visualizations to communicate findings effectively.

Credentials and Qualifications: 
•    Minimum of bachelor’s degree in computer science, data science, biomedical Engineering, or a related field.
o    PhD is preferred. 
•    A minimum of two (2) years’ experience in machine learning with expertise in ML, DL, or NLP.

How to Apply: Interested applicants should attach a cover letter summarizing their research training and accomplishments, research interests and goals, and a current resume. 

Moffitt Cancer Center is the only NCI-designated comprehensive Cancer Center in Tampa, Florida. Aside from the sunshine, beaches, and year-round outdoor recreation associated with the Gulf Coast of Florida, Tampa is a thriving metropolitan city that has become a hub for ground-breaking research and welcomes individuals from around the globe. This diverse city is engulfed with rich culture, amazing cuisine, and so much more. We strive for work/life balance.
 
If you have the vision, passion, and dedication to contribute to our mission,
then we have a place for you.