Junior Biostatistician

Location: Hurlburt Field

** Req :
** RQ223331

** Type of

Requisition :
** Regular

** Clearance Level Must Be Able to Obtain:
** Top Secret/SCI

** Public Trust/Other

Required:

** None

** Job Family:
** Data Science and Data Engineering

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* Skills:

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* Analytics,Datasource,Data Transformation,Structured Query Language (SQL)

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* Experience:

*
* 1 + years of related experience

** US Citizenship

Required:

*
* Yes

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* Job Description:

*
* 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.

** HOW A JUNIOR BIOSTATISTICIAN WILL MAKE AN IMPACT:*
* + 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.

** WHAT YOU'LL NEED TO SUCCEED:*
* *
* EDUCATION:

** Bachelor's degree with one to two (1-2) years' experience in quantitative science, social science or related discipline

+ Proficient with the suite of Microsoft Office programs, including Word, Excel and Access

+ Working knowledge of SQL Server (SQL/T-SQL), including querying, joins, indexing basics, and working with relational schemas.

+ Hands-on experience or strong exposure to Databricks and Apache Spark (preferably PySpark) or comparable systems for scalable data preparation.

+ Foundational programming skills in Python or R for analysis, data manipulation, and ML workflows.

+ Possess an understanding of data engineering concepts: ETL/ELT, data modeling basics, data quality checks, reproducible pipelines, and version control (Git).

+ Experience building visual analytics with Power BI (reports, datasets/semantic models, DAX fundamentals preferred).

+ Familiarity with the Power Platform:
Power Apps (Canvas and Model-Driven) and…