Hiring: Biostatistician Company: General Dynamics Information Technology Location: Fort Liberty, NC Job Posted Time: 2026-09-10 13:32:31 Employment Type: On-site Target Skills & Keywords : AI, ASP.NET Core, CI/CD, CSS, Data Pipeline, Databricks, Django, ELT, ETL, HTML, JavaScript, LLM, Machine Learning, Microsoft Excel, Microsoft Office, NLP, PySpark, Python, REST, React, SQL, SQL Server, Secret Clearance, Spark About the job Experience: •5 + years of related experience •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 Biostatistician joining our team to support customer activities. •Lead end-to-end analytics initiatives from problem framing and experimental design through production delivery, measurement, and iterative improvement. Required Skills: •Data Science and Data Engineering •Analytics, Datasource, Data Transformation, Structured Query Language (SQL) Qualifications: •Master’s or doctoral degree with (5) years’ experience in quantitative science, social science or related discipline. •Have at least three (3) years of research experience in academic, social services, government, healthcare or laboratory setting. •Strong proficiency in Python or R for analytics, ML, 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 experience, 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. •Operational familiarity with NLP, LLMs, and agent concepts, including how to prepare and govern data for these workflows and how to evaluate outcomes. •Exposure to operationalizing models and pipelines (scheduling/orchestration, monitoring/alerting, CI/CD concepts, logging and traceability). Proficient with the suite of Microsoft Office programs, including Word, Excel and Access. •Advanced proficiency may be demonstrated through an employment history in academia or other setting where the conduct of research is routine. •Proficiency shall be further demonstrated by a history of scientific publications. Compensation: •$63,312 - $85,658 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!