
Job Overview
Compensation
Salary
Range $63,312.00 - $85,658.00
Benefits
401K with company match
Comprehensive health and wellness packages
Internal mobility team
Professional growth opportunities including paid education and certifications
Cutting-edge technology
Paid vacation
Paid holidays
Job Description
GDIT (General Dynamics Information Technology) is a global technology and professional services company dedicated to delivering advanced mission services and technology solutions to federal civilian agencies, defense, and intelligence communities. With a workforce of over 26,000 experts operating in more than 50 countries worldwide, GDIT leverages cutting-edge technologies such as AI, cloud computing, cybersecurity, and software development to create impactful solutions. The company is committed to securing complex government and defense projects, ensuring the safety of today and the innovation of tomorrow. GDIT fosters a culture of autonomy, opportunity, and relentless pursuit of excellence, encouraging employees to own their work and contribute meaningfully to national security and citizen welfare.
This role is for a Biostatistician who will play a critical role in supporting federal government operations through advanced statistical and analytical efforts. The Biostatistician will lead initiatives involving readiness, human performance, and enterprise decision-making by designing and deploying analytic solutions including predictive modeling, machine learning, and complex data integration workflows. Responsibilities include transforming complex varied data types into actionable insights that inform mission-critical intelligence. This specialist will collaborate with interdisciplinary teams across intelligence, technology, operations, and human performance domains to produce high-quality analytical products and support program evaluation with data-driven approaches.
The Biostatistician’s duties extend from leading end-to-end analytics projects, architecting scalable data pipelines using tools such as SQL Server, Databricks, and Apache Spark, to developing predictive models and leveraging natural language processing for unstructured data analysis. Delivering decision-support products through Power BI and Power Platform technologies is included, alongside providing technical leadership in analytics methodology, code review, and documentation standards. This position offers the opportunity to influence operational workflows while working with highly sensitive and classified data, requiring security clearance.
The ideal candidate will have a master’s or doctoral degree in quantitative or social sciences, plus at least five years of relevant research experience in academic, government, social services, healthcare, or laboratory settings. Strong programming skills in Python or R coupled with advanced SQL and hands-on experience deploying scalable data pipelines with Spark and Databricks are essential. Familiarity with NLP, large language models, Power Apps, web technologies, and operationalizing analytical models will also be critical. This role is based at various locations across continental and outside continental United States sites with a contingent start date in 2027. The position offers a competitive salary range of $63,312 to $85,658 depending on experience and location. Employees benefit from comprehensive healthcare packages, 401K company match, paid vacations, and other professional growth opportunities. GDIT is proud to be an equal opportunity employer committed to diversity, inclusion, and supporting veterans and individuals with disabilities.
This role is for a Biostatistician who will play a critical role in supporting federal government operations through advanced statistical and analytical efforts. The Biostatistician will lead initiatives involving readiness, human performance, and enterprise decision-making by designing and deploying analytic solutions including predictive modeling, machine learning, and complex data integration workflows. Responsibilities include transforming complex varied data types into actionable insights that inform mission-critical intelligence. This specialist will collaborate with interdisciplinary teams across intelligence, technology, operations, and human performance domains to produce high-quality analytical products and support program evaluation with data-driven approaches.
The Biostatistician’s duties extend from leading end-to-end analytics projects, architecting scalable data pipelines using tools such as SQL Server, Databricks, and Apache Spark, to developing predictive models and leveraging natural language processing for unstructured data analysis. Delivering decision-support products through Power BI and Power Platform technologies is included, alongside providing technical leadership in analytics methodology, code review, and documentation standards. This position offers the opportunity to influence operational workflows while working with highly sensitive and classified data, requiring security clearance.
The ideal candidate will have a master’s or doctoral degree in quantitative or social sciences, plus at least five years of relevant research experience in academic, government, social services, healthcare, or laboratory settings. Strong programming skills in Python or R coupled with advanced SQL and hands-on experience deploying scalable data pipelines with Spark and Databricks are essential. Familiarity with NLP, large language models, Power Apps, web technologies, and operationalizing analytical models will also be critical. This role is based at various locations across continental and outside continental United States sites with a contingent start date in 2027. The position offers a competitive salary range of $63,312 to $85,658 depending on experience and location. Employees benefit from comprehensive healthcare packages, 401K company match, paid vacations, and other professional growth opportunities. GDIT is proud to be an equal opportunity employer committed to diversity, inclusion, and supporting veterans and individuals with disabilities.
Job Requirements
- Master’s or doctoral degree in quantitative science, social science, or related discipline
- At least five years of related experience
- Strong proficiency in Python or R
- Advanced SQL skills and hands-on experience with SQL Server
- Experience with Databricks and Apache Spark (PySpark) or comparable
- Solid understanding of data engineering concepts
- Experience with Power BI and Power Platform
- Familiarity with NLP and large language models
- Experience with web application development technologies
- Proficiency with Microsoft Office
- Ability to obtain Secret or Top-Secret Clearance
- U.S. citizenship required
- Willingness to travel less than 10%
- Position contingent with a 2027 start date
Job Qualifications
- Master’s or doctoral degree in quantitative science, social science, or related discipline
- At least three years of research experience in academic, social services, government, healthcare, or laboratory settings
- Strong proficiency in Python or R for analytics, machine learning, and data manipulation with disciplined software practices (modular code, testing mindset, version control)
- Advanced SQL skills and hands-on experience with SQL Server in applied analytics and data preparation contexts
- Demonstrated experience using Databricks and Apache Spark (PySpark) or comparable technologies to build scalable data pipelines and large-scale transformations
- Solid understanding of data engineering concepts: ETL/ELT design, data modeling fundamentals, data quality and validation, repeatable pipeline design, and performance optimization
- Experience producing decision-quality visualization and reporting, preferably with Power BI (including semantic modeling and DAX familiarity)
- Familiarity with NLP, large language models, and agent concepts, including data preparation and governance for these workflows and outcome evaluation
- Experience integrating analytics into applications and automations using Power Apps (Canvas/Model-Driven) and Power Automate beyond basic usage
- Experience with web application development technologies: HTML, CSS, JavaScript, React, and backend frameworks like Django or ASP.NET Core
- Exposure to operationalizing models and pipelines (scheduling/orchestration, monitoring/alerting, CI/CD concepts, logging and traceability)
- Proficiency with Microsoft Office programs including Word, Excel, and Access
- Advanced proficiency evidenced by employment history in research-heavy environments
- Demonstrated scientific publication record
Job Duties
- Lead end-to-end analytics initiatives from problem framing and experimental design through production delivery, measurement, and iterative improvement
- Architect and implement scalable data solutions by building and maintaining ETL/ELT pipelines and curated datasets using SQL Server, Databricks, and Apache Spark (PySpark) or comparable structures
- Fuse disparate structured, semi-structured, and unstructured data sources
- establish data preparation standards, reusable transformations, and documented assumptions to ensure mission defensibility and reproducibility
- Implement data quality controls (validation rules, anomaly detection, reconciliation checks), manage schema changes, and optimize Spark workloads for performance, reliability, and cost (e.g., efficient joins, partitioning strategies, job tuning)
- Develop, evaluate, and deploy predictive models and optimization approaches
- communicate model behavior, limitations, and expected impact to both technical teams and operational stakeholders
- Support text-heavy and unstructured-data use cases with NLP methods (cleaning, normalization, entity extraction/labeling as applicable) and demonstrate working familiarity with Large Language Models and agent-style workflows (prompting patterns, retrieval-style approaches, evaluation datasets, and feedback loops)
- Deliver decision-support products through Power BI, including semantic modeling and consistent metric definitions, and enable operational workflows and user-facing tools using the Power Platform (Power Apps—Canvas and Model-Driven—and Power Automate)
- Provide technical leadership and consultation: guide analytic methodology, review code and results, ensure documentation standards, and collaborate with intelligence, operations, and engineering teams to uncover novel solutions to complex command challenges
- Responsible for entering, cleaning, and conducting advanced data manipulation and statistical analysis
- Operate in consultation with POTFF program staff, Junior and Senior Biostatisticians, and USSOCOM Enterprise Data Team, providing subject matter expertise in program evaluation, research methodologies, and data analysis
- Provide consultation and assistance to supported units and POTFF staff to identify opportunities and methods for capturing data relating to POTFF programs and initiatives
- Prepare reports and presentations that accurately convey data trends and associated analyses
- Will be granted access to Government systems to enter and analyze data
Job Criteria
Experience
Mid Level (3-7 years)
Job Location
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