Scientific Data Analyst

Seize your opportunity to make a personal impact as a Scientific Data Analyst on a team delivering administrative, scientific, technical and logistical support to the National Institutes of Health (NIH) Division of Program Coordination, Planning, and Strategic Initiatives (DPCPSI). Your team will stand up a new NIH DPCPSI Office of Research Innovation, Validation and Application (ORIVA). Responsibilities include leveraging disciplines or methods such as bioinformatics, mathematics, statistics, computational linguistics, computer science, data science for analysis of data in support of New Approach Methodologies (NAMs) research.

GDIT is your place to contribute to challenging health science projects and advance your career. You will support and promote NAMs research across NIH and extramural programs. Success requires proven experience in a dynamic, detail-oriented research environment and the ability to provide responsive, flexible support services. Work will be performed in the Durham, North Carolina area.

HOW YOU WILL MAKE AN IMPACT

• Be an integral part of a scientific team including researchers, data analysts, programmers, and technologists
• 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
• Ensure customer satisfaction by providing high quality deliverables and anticipating needs

WHAT YOU’LL NEED TO SUCCEED:

Required:

• 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.
• Capable of fundamental programming for data analysis, survey data analysis, and data management
• Providing quality assurance on deliverables and timely delivery
• Excellent verbal and written communications skills

Preferred:

• Experience in NAMs or a related scientific field
• 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

Location: Onsite, Located in Durham, NC

GDIT IS YOUR PLACE:

• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional scientific growth opportunities, including journal subscriptions, conference attendance, and supporting publication journey
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays