GDIT · USA NC Raleigh, US · 4 months ago
Type of Requisition:
Regular
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able to Obtain:
None
Public Trust/Other Required:
MBI (T2)
Job Family:
Software Engineering
Job Qualifications:
Skills:
Data Development, Data Management, Data Science
Certifications:
None
Experience:
8 + years of related experience
US Citizenship Required:
No
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 The likely salary range for this position is $112,200 - $151,800. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Scheduled Weekly Hours:
40
Travel Required:
None
T elecommuting Options:
Onsite
Work Location:
USA NC Raleigh
Additional Work Locations:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Headquarters
USA NC Raleigh
Work Location
on-site
Job Category
C
Application Deadline
Not specified
Job Type
Full_Time
Experience Level
Entry Level
Application Method
Apply via Website
Salary
112200
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