Dr. Yi Luo’s Lab is seeking a Research Data Analyst I to join the group and work on an exciting project. We are seeking a motivated candidate with background in machine learning or system informatics to join the team of Dr. Yi Luo. Our current research focuses on FAIR (findable, accessible, interoperable, and reusable) and explainable machine learning and their application for health outcomes, clinical decision support, and credible models in precision medicine, health equity, and healthcare quality. Our research areas mainly include: 1) bias control, causal inference, and contribution analysis; 2) individual cancer patients’ treatment outcomes prediction and clinical decision support before and during treatment; 3) human-in-the-loop approach for physician-machine interface design; 4) developing and using machine learning and system informatics approaches to study cancer prevention at both individual and community levels. If your background overlaps and you are interested in working on one or more of these areas, we encourage you to apply. We have exciting opportunities for you within our team at the institution that will strongly support your scientific growth and future successes.

The FAIR and explainable machine learning group in the Machine Learning Department at Moffitt combines multidisciplinary and multiscale approaches from the fields of cancer biology, bioethics, computer science, decision science, medical physics, and health services research to improve cancer prevention and treatment. So far, we are collaborating with clinical and research investigators from the programs of Anesthesiology, Breast Oncology, Cancer Epidemiology, Malignant Hematology, Radiation Oncology, and Thoracic Oncology in Moffitt Cancer Center. Also, we actively collaborate with the extramural oncology centers and academic institutions.

To learn more about our exciting work being done visit: http://lab.moffitt.org/LUO

Position Highlights: 

• Moffitt integrates excellent patient care with cutting-edge clinical and basic research. Having a cancer hospital on-site provides unique opportunities for translational research.
• The position is essential for development of comprehensive tools benefiting basic to clinical research through exploring explainable biophysical pathways from retrospective datasets.
• The position offers vibrant and interactive work environment in the Quantitative Science Division and results will bring value beyond the community of Moffitt patients.

The Ideal Candidate:

• Knowledge of explainable/credible machine learning, probabilistic graphical models, reinforcement learning, and causal inference or system informatics, human-machine interface, sequential decision making, and agent-based modeling.
• High motivation and desire to be part of multidisciplinary group, good work ethic.
• Excellent interpersonal and communication skills (written and verbal).
• Proficiency with programming languages, applications, and optimization, simulation, statistical packages.
• Experience with extraction, handling, and processing of large electronic health record data.
• Preferable knowledge of cancer biology.

Responsibilities:

• Data preparation, organization, management, and analysis.
• Development of new and/or tuning of existing machine learning and analytical approaches.
• Presentation of data and results in a clear and concise manner.
• Active participation in the group meetings and meetings with the collaborating teams.
• Ability to work with the team and independently.
• Presentation of research studies in conferences.
• Preparation of conference and/or journal publications.
• Meeting project goals.

Credentials and Qualifications:

Required: Bachelor’s degree in Biostatistics, Bioinformatics, Computer Science, Electrical Engineering, Industry and Systems Engineering or related fields. Must have 5 years of relevant experience. Master’s Degree preferred.  

Moffitt Team Members are eligible for Medical, Dental, Vision, Paid Time Off, Retirement, Parental Leave and more. Tampa is a thriving metropolitan city that provides its residents a high quality of life.  The Tampa Bay area (https://www.visittampabay.com/) has become a hub for ground-breaking 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.

If you have the vision, passion, and dedication to contribute to our mission,

then we have a place for you.

How to Apply: Interested applicants should send a single PDF file that includes a cover letter summarizing their training and research accomplishments, current CV, and the contact information of three references to Dr. Yi Luo ([email protected]).