GDIT is looking to hire a Task Lead Data Science & AI to support the National Institutes of Health (NIH) Division of Program Coordination, Planning, and Strategic Initiatives (DPCPSI) in standing up a new Office of Research Innovation, Validation and Application (ORIVA). The role involves leveraging data science and AI techniques to support New Approach Methodologies (NAMs) research.
Requirements
- Capable of fundamental programming for data analysis, survey data analysis, and data management
- Experience with data development and analysis for modeling methods
- Familiarity with data analysis related to biology/toxicology modeling and AI approaches (e.g., ML, expert systems, computer vision)
- Experience using PowerBI or equivalent to maintain data dashboards
Responsibilities
- Data development, analysis and evaluation, including cleaning and analyzing data and utilizing methods (e.g., knowledge graphs to explore chemical-biological effect relationships)
- Routinely review, evaluate, curate, and integrate data from relevant databases (e.g, NCATS N3C, NCI CRDC, ToxRefDB, ToxCast, ExpoCast, DSSTox, CEBS, IUCLID, MassIVE and others)
- Ensure data integrity including preparing program guidelines, performing necessary data checks and managing datasets and data documentation
- Be an integral part of a scientific team including researchers, data analysts, programmers, and technologists
- Ensure customer satisfaction by providing high quality deliverables and anticipating needs
- Capable of fundamental programming for data analysis, survey data analysis, and data management
- Providing quality assurance on deliverables and timely delivery
Other
- 4 + years of related experience
- Ph.D. in bioinformatics, mathematics, statistics, computational linguistics, computer science, data science, or other relevant field and 4+ years of professional experience or a Master's degree, in an equivalent field and 8+ years of relevant experience.
- Excellent verbal and written communications skills
- Team leadership and/or people management experience
- Experience in NAMs or a related scientific field
