Scientific Programmer/ Computational Modeling
Public Trust: MBI (T2)
Requisition Type: Regular
Your Impact
Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being of U.S. citizens.
Job Description
Seize your opportunity to make a personal impact as a Scientific Programmer/ Computational Modeling 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 data curation, data wrangling, bioinformatics, and scientific computing to support utilizing modeling methods such as computational approaches and New Approach Methodologies (NAMs).
GDIT is your place to contribute to challenging health science projects and advance your career. This role sits at the intersection of programming, research, and applied science to enable researchers to model complex systems, process large datasets, and generate reproducible results that accelerate discovery 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.
HOW YOU WILL MAKE AN IMPACT
- Be an integral part of a scientific team including researchers, data analysts, and technologists
- Develop, optimize, and maintain software tools, algorithms, and computational workflows to support scientific research and data analysis
- Collaborate with researchers, scientists, and domain experts to translate research requirements into robust software solutions
- Write clean, efficient, and well-documented code in programming languages such as Python, R, C++, or Java
- Develop and maintain data analysis workflows for large-scale scientific datasets
- Ensure reproducibility and reliability of scientific computations by implementing best practices in version control, testing, and documentation.
- Optimize algorithms and computational methods for performance, scalability, and accuracy
WHAT YOU’LL NEED TO SUCCEED:
Required:
- BA/BS in computer science, computational linguistics, data science, or related field, and 8+ years of professional experience as a data curator, data-wrangler, bioinformatician and/or expert in scientific computing
- Experience developing, optimizing, and maintaining software tools, algorithms, and computational workflows to support scientific research and data analysis
- Capable of fundamental programming for data analysis, survey data analysis, and data management
- Provide quality assurance on deliverables and timely delivery
- Excellent verbal and written communications skills
Preferred:
- MA/MS in relevant field and 6+ years of professional experience
- Experience in NAMs or a related scientific field
- Familiarity with biology/toxicology modeling and AI approaches (e.g., ML, expert systems, computer vision)
- Experienced model and application developer with strong background in computational methods
- Knowledge of mathematical and statistical methods applied to modeling biological process and systems including adsorption, metabolism, toxicology, pharmacology, pharmacokinetics and/or clinical data analysis.
- Working knowledge of Real World Data and NAMs
Location: Onsite
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
Work Requirements
Years of Experience
8 + years of related experience
* may vary based on technical training, certification(s), or degree
Certification
Travel Required
None
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