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General Dynamics - IT (GDIT) is seeking a Junior Biostatistician to support data engineering, analytics, and decision-support activities across programs. You will prepare datasets, develop data pipelines, and contribute to dashboards and reporting tools used in readiness analytics.
The role requires a Bachelor's in a quantitative field with 1–2 years' experience, strong SQL Server and Databricks skills, and proficiency in Python or R. Security clearance is required or obtainable.
We are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that's important. GDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being rusted to deliver your best every day. We think. We act. We deliver. There is no challenge we can't turn into opportunity. And our work depends on a Junior Biostatistician joining our team to support customer activities. The Junior Biostatistician supports data engineering, statistical analysis, and analytics functions that inform readiness, performance, and decision-support activities. This role processes, curates, and analyzes structured and unstructured data to create actionable insights, dashboards, and foundational data products. The Junior Biostatistician assists senior analysts and enterprise data teams by preparing datasets, developing pipelines, and supporting reporting tools used across programs and operational environments.
Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support. Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark (PySpark) for scalable batch processing and data transformation. Develop and maintain curated, analysis-ready datasets (e.g., dimensional models, governed reporting tables) with attention to data quality, lineage, and repeatability. Optimize data processing performance (partitioning strategies, efficient joins, job tuning) and contribute to reliable scheduling/orchestration and monitoring of recurring workloads. Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness. Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting. Support low-code solutions by integrating data products into Power Apps (Canvas and Model-Driven) and automations using Power Automate. Contribute to text and language-focused use cases by preparing and analyzing unstructured data (basic NLP preprocessing, labeling/curation, feature creation). Demonstrate familiarity with LLMs and agent concepts (prompting patterns, retrieval-style workflows, evaluation considerations) and assist senior team members in implementing these capabilities where appropriate. Document data sources, transformations, assumptions, and analytical methodologies to ensure transparency and operational continuity.
Secret or Top-Secret Clearance, or the ability to obtain clearance.
Various OCONUS & CONUS SITES
This is a contingent posting, expected to start in 2027.