Scientific Researcher

Seize your opportunity to make a personal impact as a Scientific Researcher 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).

Responsibilities include data development, analysis and evaluation, utilizing non-animal models including in vitro and computational approaches to development of New Approach Methodologies (NAMs).

GDIT is your place to contribute to challenging health science projects and advance your career. You will conduct, promote, and support 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
• Ensure customer satisfaction through on-time delivery of high-quality deliverables
• Gather, analyze, and interpret scientific data to provide actionable insights that support real-time decision-making
• Design and coordinate interlaboratory validation studies, collect and analyze various data types (e.g., bioactivity, exposure, in vitro and in silico models, transcriptomics, dose-response) and evaluate relevance and reliability of data used in regulatory and other human health contexts
• Perform literature searches into existing Government databases (e.g., ICE, NIH Real World Data Platform)
• Develop and monitor project tasks and schedules
• Ensure accuracy, integrity, and compliance in all research and analysis activities

WHAT YOU’LL NEED TO SUCCEED:

Required:

• Ph.D. in biomedical or other relevant field and 1+ years of experience OR masters + 4 years of experience.
• Demonstrated expertise in NAMs or a related scientific field
• Experience developing, evaluating, and validating in vitro or computational methods for human health safety and risk assessments
• Experience in data development, analysis, and evaluation, utilizing modeling methods
• Excellent verbal and written communications skills
• Strong critical thinking, problem-solving, and organizational skills

Preferred:

• Doctorate in a biomedical or other relevant field and 1+ years of professional experience
• Familiarity with biology/toxicology modeling and AI approaches (e.g., ML, expert systems, computer vision)
• Strong proficiency in Microsoft Excel, Power BI/Tableau, and statistical/analytical tools (e.g., SQL, Python, R) a plus

Location: Onsite, Located in Durham, NC

Timeline: This is a contingent posting, expected to start in September 2025

Work visa sponsorship will not be provided for this position.

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