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Statistical Programmer Contract Jobs in Virginia

TOMORROW HIRE

Programmer Analyst 3

Richmond, VA · On-site

$46 - $66/hr

Information Technology / Government Employment Type : 1099 Contract Requisition ID : 808187 ... Support data modernization initiatives related to vital statistics and vital records. * Collaborate ...

TOMORROW HIRE

Programmer Analyst 3

Richmond, VA · On-site

$46 - $66/hr

Information Technology / Government Employment Type : 1099 Contract Requisition ID : 808187 ... Support data modernization initiatives related to vital statistics and vital records. * Collaborate ...

TOMORROW HIRE

Programmer Analyst 3

Richmond, VA · On-site

$46 - $66/hr

Information Technology / Government Employment Type : 1099 Contract Requisition ID : 808187 ... Support data modernization initiatives related to vital statistics and vital records. * Collaborate ...

ManTech International

Data Analyst

Arlington, VA · On-site

$83K - $139K/yr

... statistics, engineering, management information systems, decision science, or related fields ... Contract Wage Determination, relevant work experience, skills and competencies that align to the ...

ManTech

Data Analyst

Arlington, VA · Hybrid

$83K - $139K/yr

... statistics, engineering, management information systems, decision science, or related fields ... Contract Wage Determination, relevant work experience, skills and competencies that align to the ...

ManTech International

Data Analyst

Arlington, VA · On-site

$83K - $139K/yr

... statistics, engineering, management information systems, decision science, or related fields ... Contract Wage Determination, relevant work experience, skills and competencies that align to the ...

ManTech

Data Analyst

Arlington, VA · Hybrid

$83K - $139K/yr

... statistics, engineering, management information systems, decision science, or related fields ... Contract Wage Determination, relevant work experience, skills and competencies that align to the ...

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Showing results 21-40

All JobsStatistical Programmer Contract JobsStatistical Programmer Contract Jobs in Virginia

Statistical Programmer Contract information

What is a statistical programmer contract?

A Statistical Programmer Contract refers to a temporary or project-based role where a professional specializes in programming and data analysis, often within clinical research or pharmaceutical industries. These programmers use statistical software like SAS, R, or Python to manage, analyze, and report clinical trial data. Contract positions typically focus on ensuring data integrity, generating tables, listings, and figures, and supporting regulatory submissions. The contract nature means the engagement is for a defined period or project, offering flexibility for both the programmer and the employer.

What are the key skills and qualifications needed to thrive as a statistical programmer contract?

To thrive as a Statistical Programmer Contract, you need a solid background in statistics, programming (especially SAS or R), and a relevant degree in mathematics, statistics, or computer science. Familiarity with statistical software (such as SAS, R, or Python), CDISC standards, and experience with clinical trial datasets are typically required, and certification in SAS programming can be advantageous. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for ensuring the accuracy, integrity, and regulatory compliance of statistical analyses in research or clinical environments.

What are some common challenges faced by statistical programmers working on a contract basis, and how can they be addressed?

Statistical Programmers working on a contract often face challenges such as quickly adapting to new team environments, learning proprietary systems, and managing tight project deadlines. Since contractors may work with multiple clients or projects, strong organizational and communication skills are essential to align with varying expectations and workflows. Building rapport with permanent team members and proactively seeking clarification on project requirements can help smooth the transition and ensure project success.

What are the most commonly searched types of Statistical Programmer jobs in Virginia?

The most popular types of Statistical Programmer jobs in Virginia are:

What are popular job titles related to Statistical Programmer Contract jobs in Virginia?

For Statistical Programmer Contract jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Statistical Programmer Contract jobs in Virginia look for?

The top searched job categories for Statistical Programmer Contract jobs in Virginia are:

What cities in Virginia are hiring for Statistical Programmer Contract jobs?

Cities in Virginia with the most Statistical Programmer Contract job openings:

Statistical Programmer Contract jobs near you
Infographic showing various Statistical Programmer Contract job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Engineer - Classical Statistics & Machine Learning

BLN24

Mclean, VA • On-site

Full-time

Medical, Dental, Vision

Re-posted 9 days ago

Job description

Job Title: Data Engineer
Company: BLN24
About Us: We find strength in teamwork-a better you is a better us
BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client's end-state, and then seamlessly integrating within each Agency's organization to improve and enhance strategic and technical operations and deployments.
Position Overview:
BLN24 is seeking a mid-level Data Engineer to support a large-scale data and analytics platform modernization effort for a federal statistical agency client. This is a hybrid role: data engineering (building and maintaining the pipelines that bring data into the platform) and applied data science (using classical statistics and machine learning to analyze that data once it's available).
The ideal candidate is equally comfortable writing production-grade ingestion and
transformation code as they are designing and validating a statistical or ML model.
This role works closely with SMEs across multiple program areas to understand source data, build reliable ETL/ingestion pipelines, and apply analytical methods - anomaly detection, statistical modeling, and machine learning - to support operational decision-making.
Key Responsibilities:
Data Engineering
  • Design, build, and maintain ETL/ELT pipelines to ingest data from multiple source systems into the platform's central data store
  • Develop and maintain data ingestion workflows for both batch and near-real-time sources
  • Implement data validation, cleaning, and transformation logic to ensure data quality and consistency across pipelines
  • Work within a modern lakehouse/cloud data architecture, optimizing pipeline performance and reliability
  • Build and maintain data models and schemas that support downstream analytics and reporting needs
  • Monitor pipeline health, troubleshoot failures, and implement logging/alerting for data quality issues
  • Document data lineage, transformation logic, and pipeline architecture for governance and reproducibility

Data Science / Statistics & ML
  • Apply classical statistical methods (hypothesis testing, regression, time-series analysis, distributional comparisons) to identify trends, anomalies, and outliers in operational data
  • Design and implement benchmarking approaches that compare production data against historical, modeled, or external reference values
  • Develop and evaluate machine learning models where appropriate, balancing predictive performance with interpretability for non-technical stakeholders
  • Investigate flagged anomalies by digging into underlying data to identify root causes and contributing factors
  • Work with SMEs to translate operational questions into analytical approaches, and clearly communicate statistical/ML findings and their limitations
  • Account for data sensitivity classifications and governance requirements when designing analyses and models
  • Collaborate with visualization-focused team members to ensure outputs of statistical/ML work are presented clearly to stakeholders

Required Qualifications:
  • Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field (or equivalent experience)
  • 3-5 years of experience spanning both data engineering and data science/statistical analysis
  • Strong proficiency in Python, including experience with data engineering libraries (e.g., pandas, PySpark) and statistical/ML libraries (e.g., scikit-learn, statsmodels)
  • Hands-on experience building and maintaining ETL/ELT pipelines, including ingestion, transformation, and validation logic
  • Solid grounding in classical statistical methods (hypothesis testing, regression, distributional analysis) and practical machine learning techniques
  • Experience working with SQL and relational/distributed data systems
  • Ability to work within a federal data environment, including familiarity with data sensitivity tiers and access/disclosure constraints
  • Strong communication skills, with the ability to explain technical/statistical concepts to non-technical stakeholders

Preferred Qualifications:
  • Prior experience supporting federal statistical agencies or other federal data programs
  • Familiarity with Databricks or modern lakehouse architectures (Spark, Delta Lake, etc.)
  • Experience with workflow orchestration tools (e.g., Airflow, Databricks Workflows)
  • Experience designing anomaly-detection or outlier-detection approaches beyond standard threshold-based methods
  • Exposure to disclosure avoidance concepts or working with regulated/protected government data
  • Experience working across multiple coding environments (Python, R, SAS) within the same analytics platform
  • Background in requirements gathering or systems design for enterprise data platforms

Work Environment:
  • Contract position supporting a federal agency data modernization engagement
  • Collaborative, cross-functional environment working alongside data engineers, data scientists, architects, and program SMEs
  • Requires U.S. citizenship and ability to obtain a public trust or other clearance/suitability determination typical of federal contractor engagements

What BLN24 brings to the Game:
BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of - physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
  • You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.
  • Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.
BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

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