Biostatistician

General Dynamics Information Technology

Biostatistician leading analytical efforts for government projects, delivering high-quality products and solutions. Collaborating with teams on data-driven program evaluation and decision support.

Posted 6/29/2026full-timeFort Bragg • California, Florida, Kentucky, North Carolina, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $63,312 - $85,658 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading analytics initiatives, developing predictive models, and implementing scalable data solutions. Proficient in Python, R, SQL, and Power BI, with a strong foundation in data engineering and NLP methods.

Highest-signal resume keywords

Python ProficiencyAdvanced SQL SkillsPower BI VisualizationNLP ExperienceData Engineering Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingData ManipulationExperimental DesignData Quality ControlSchema Management

Soft Skills

Technical LeadershipConsultation

Tools & Technologies

Power BIDatabricksApache SparkSQL ServerPower Apps

Certifications & Qualifications

Master’s DegreeDoctoral Degree

Industry Keywords

Analytics InitiativesData SolutionsDecision-Support ProductsUnstructured DataLLMs

Tech Stack

Tools & technologies

ApachePySparkPythonSparkSQL

About the role

Key responsibilities & impact

Lead end-to-end analytics initiatives from problem framing and experimental design through production delivery
Architect and implement scalable data solutions
Fuse disparate data sources and establish data preparation standards
Implement data quality controls and manage schema changes
Develop, evaluate, and deploy predictive models and optimization approaches
Support text-heavy and unstructured-data use cases with NLP methods
Deliver decision-support products through Power BI
Provide technical leadership and consultation

Requirements

What you’ll need

5+ years of related experience
Master’s or doctoral degree in quantitative science, social science or related discipline
Strong proficiency in Python or R for analytics, ML, and data manipulation
Advanced SQL skills and hands-on experience with SQL Server
Experience using Databricks and Apache Spark (PySpark)
Solid understanding of data engineering concepts
Experience producing decision-quality visualization and reporting, preferably with Power BI
Familiarity with NLP, LLMs, and agent concepts
Experience integrating analytics into applications using Power Apps

Benefits

Comp & perks

401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Cutting-edge technology you can learn from
Rest and recharge with paid vacation and holidays