This role pays less than
99%
of similar roles. Most pay
$126,800–$185,550
— the shaded band above.
At the midpoint, this role pays about
$74k
versus about
$156k
for comparable roles.
Based on 240 similar postings.
Employer
About General Dynamics
General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.
General Dynamics currently has
1123 open roles
on FindRole.
Listed pay typically runs
$124,093–$150,385
across 984 roles with salary data.
The Biostatistician joins a specialized team to lead analytical, statistical, and data engineering efforts supporting readiness, human performance, and enterprise decision-making. This role involves designing and deploying advanced analytics solutions, including predictive modeling, machine learning, and complex data integration workflows. The professional will transform structured and unstructured data into actionable intelligence while building scalable ETL/ELT pipelines. Key technical requirements include proficiency in Python or R for data manipulation, advanced SQL skills using SQL Server, and experience with Databricks and Apache Spark (PySpark). Additionally, the role requires expertise in Power BI for decision-support reporting, familiarity with NLP and Large Language Models, and knowledge of web technologies like HTML, CSS, and JavaScript. The work focuses on solving complex command challenges through program evaluation, research methodologies, and advanced statistical analysis to support critical defense and intelligence initiatives.
Biostatistics
Statistical Modeling
Data Analytics
Multivariate Statistics
Database Mining
Research Design
Quantitative Methods
Data Cleansing
Program Evaluation
Behavioral Science
Data Compilation
Power Automate
Microsoft Power Platform
Python
Pandas
NumPy
SQL
Databricks
PySpark
ETL
ELT
Dataverse
Excel
SharePoint
Data Visualization
Predictive Modeling
Machine Learning
API Integration
KPIs
R
SAS
Python
Biostatistics
Data Analytics
Artificial Intelligence
Experimental Design
Sample Size Calculation
Data Wrangling
GxP
Data Integrity
Interactive Graphical Tools
Simulation
Statistics
Mathematics
Machine Learning
Artificial Intelligence
Data Science
Probability Modeling
Data Mining
Data Engineering
Data Warehousing
TEVV
Multi-INT Analytics
IoT
Information Science
Statistical Modeling
Machine Learning
Deep Learning
R
Python
Julia
SAS
R-Shiny
Simulation
Bayesian Methods
Predictive Modeling
Scientific Computing
FACTS
EAST