AI Data Scientist Precision Oncology

Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer.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. Join a dedicated team of nearly 11,000 who are shaping the future we envision. Moffitt has been recognized as a Best and Brightest Company to Work For in the Nation and is continually named one of the Tampa Bay Times’ Top Workplaces.SummaryThe AI Data Scientist - Precision Oncology develops and applies advanced analytics, machine learning, and artificial intelligence methodologies to support precision oncology research and AI-enabled clinical outcome optimization initiatives. This role works with large-scale clinical, imaging, pathology, molecular, genomic, and outcomes datasets to generate actionable insights, develop predictive models, and support the evaluation and implementation of AI technologies across cancer research and healthcare applications. The AI Data Scientist works at the intersection of data science, machine learning, biomedical data science, and cancer research.This position collaborates closely with other AI Data Scientists, AI/ML Engineers, clinicians, and informaticians to develop high-quality datasets, conduct statistical and predictive analyses, evaluate AI models, and support institutionally scalable oncology AI initiatives.Other related duties as assigned by appropriate Leadership.Job Title: AI Data Scientist Precision OncologyMinimum Education Level: Bachelor's DegreeMinimum Field of Study: Computer Science, Data Science, Statistics, Biostatistics, Mathematics, Bioinformatics, Biomedical Engineering, Computer Engineering, Electrical Engineering, Informatics, or a related quantitative disciplineMinimum Education Notes:Preferred Education Level: Master's DegreePreferred Field of Study: Computer Science, Data Science, Statistics, Biostatistics, Mathematics, Bioinformatics, Biomedical Engineering, Computer Engineering, Electrical Engineering, Informatics, or a related quantitative disciplinePreferred Education Notes:Licensure Certification Needed: NoMinimum Licensure:Minimum Licensure (Other):Training Required: • Strong programming skills in Python.• Experience with data analysis, statistical modeling, and machine learning techniques.• Experience using data science libraries such as Pandas, NumPy, Scikit-learn, or equivalent tools.• Experience working with structured and unstructured datasets.• Experience with SQL and database technologies.• Experience performing data cleaning, preprocessing, feature engineering, and quality assessment.• Experience creating analytical reports, visualizations, and dashboards.• Experience working in Linux-based analytical environments.• Experience using Git and collaborative software development tools.• Experience using modern AI-assisted coding and analytical tools.• Experience conducting exploratory data analysis, hypothesis testing, statistical inference, and outcomes-focused analytical studies.Salary Range$77,022.40 - $117,582.40Salary ranges posted for this position represent the expected base pay range for the role. Actual compensation may vary based on location and a variety of job-related factors, including experience, skills, education, and internal equity among Team Members in similar positions.We are committed to maintaining fair and equitable pay practices and regularly review compensation to ensure alignment across our workforce.Moffitt Career SiteIf you have the vision, passion, and dedication to contribute to our mission,then we have a place for you!1. Equal Employment OpportunityMoffitt Cancer Center is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran or disabled status. We seek candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.2. 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