ZipRecruiter

Log In

2

Remote Statistical Programmer Jobs in Virginia (NOW HIRING)

Enterprise Knowledge

Semantic Data and AI Engineer

Arlington, VA · On-site +1

$131.90K - $158.40K/yr

While local candidates are preferred, we are also able to hire remote candidates residing in the ... Bachelor's degree in math, statistics, economics, data science, computer science, or a related ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Engineer high-quality features and maintain training/inference pipelines. Cloud and Platform ... Strong understanding of mathematics and statistics relevant to machine learning and AI. * Proven ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

Support advanced analytics capabilities, including statistical analysis, predictive modeling, trend ... Partner with cybersecurity, engineering, product, and program management teams to align data ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ... Understanding of machine learning techniques and algorithms, data mining, and statistical analysis.

AVIAN, LLC

Data Engineer

Reston, VA · On-site +1

$119.30K - $143.30K/yr

Mathematics/Statistics * Proficiency with computer programming languages like Python, Java, Scala ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Level Up Llc

Data Engineer

Reston, VA · On-site +1

$119.30K - $143.30K/yr

Mathematics/Statistics * Proficiency with computer programming languages like Python, Java, Scala ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

next page

Showing results 1-20

People also search for

All JobsStatistical Programmer JobsRemote Statistical Programmer JobsRemote Statistical Programmer Jobs in Virginia

Remote Statistical Programmer information

See Virginia salary details

$83.8K

$146K

$246.9K

How much do remote statistical programmer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote statistical programmer in Virginia is $146,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,900.00 and $158,600.00 per year, depending on experience, location, and employer.

What Does a Remote Statistical Programmer Do?

As a remote statistical programmer, you use programming techniques to produce useful data sets from raw data. In this role, you may evaluate the programming needs of each project, use validation techniques to ensure the accuracy of all data sets your programs make, and manage both a database and the operating environment of your software. Remote statistical programmers often work from home and collaborate with other programmers through video calls, voice chat, or remote office software. This job is also known as SAS, which stands for statistical analysis system programming, and companies may advertise under either title.

What are the key skills and qualifications needed to thrive as a Remote Statistical Programmer, and why are they important?

To thrive as a Remote Statistical Programmer, you need strong proficiency in statistics, data analysis, and programming languages like SAS or R, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software, clinical trial data standards (such as CDISC), and regulatory submission requirements is often necessary. Attention to detail, problem-solving ability, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies ensure high-quality data analysis, regulatory compliance, and seamless teamwork in a remote environment.

How do Remote Statistical Programmers typically collaborate with cross-functional teams despite working remotely?

Remote Statistical Programmers often work closely with biostatisticians, data managers, and clinical research associates using collaborative tools such as video conferencing, project management platforms, and secure data-sharing systems. Regular virtual meetings are scheduled to discuss project progress, address data or programming issues, and align on analysis plans. Clear documentation and version control are essential to ensure seamless teamwork and maintain data integrity. Effective communication skills and proactive updates help bridge the physical distance and contribute to successful project outcomes.

What is a remote statistical programmer?

A remote statistical programmer is a professional who uses statistical software and programming languages to analyze data, typically for research, clinical trials, or business insights, while working from a location outside of a traditional office environment. They are responsible for managing, cleaning, and organizing large datasets, and for developing programs that generate statistical analyses and reports. Remote statistical programmers often collaborate with statisticians, data scientists, and project teams using online communication tools. This role requires strong skills in programming languages such as SAS, R, or Python, and attention to detail when handling complex data. Working remotely provides flexibility but also requires good time management and communication skills.

What is the difference between Remote Statistical Programmer vs Clinical Data Analyst?

AspectRemote Statistical ProgrammerClinical Data Analyst
Required CredentialsBachelor's/Master's in Biostatistics, Statistics, or related field; programming skills in SAS, R, or PythonBachelor's/Master's in Statistics, Data Science, or related; strong analytical and statistical skills
Work EnvironmentRemote or office-based, collaborating with biostatistics teams in clinical trialsRemote or on-site, analyzing clinical data to support study outcomes
Employer & Industry UsagePharmaceuticals, biotech, CROs, clinical research organizationsPharmaceuticals, healthcare, research institutions, CROs

Remote Statistical Programmers focus on programming and data management for clinical trials, while Clinical Data Analysts interpret and analyze clinical data. Both roles require strong statistical skills and often work in similar environments within the healthcare and pharmaceutical industries, but their core responsibilities differ.

More about Remote Statistical Programmer jobs
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 Remote Statistical Programmer jobs in Virginia? For Remote Statistical Programmer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Programmer jobs in Virginia look for? The top searched job categories for Remote Statistical Programmer jobs in Virginia are:
What cities in Virginia are hiring for Remote Statistical Programmer jobs? Cities in Virginia with the most Remote Statistical Programmer job openings:
Remote Statistical Programmer jobs near you
Data Scientist (Vantage) - Clearance Required

Data Scientist (Vantage) - Clearance Required

Logistics Management Institute

Crystal City, VA • On-site, Remote

Other

Posted 16 days ago

Job description

Overview
LMI is seeking a Data Scientist to assist with Army data model, pipeline, and visualization development. This Data Scientist will create data models working from mock visualizations and raw data inputs; leverage python, PySpark, Foundry, and code repositories to develop an architecture plan; extract, transform, and load data into Vantage; and use Vantage workshops to develop visualizations. Active Secret clearance required.
Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. Open to Remote
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Core Responsibilities:
  • Data Engineering: Extract, transform, and load data using big data platforms like Palantir Foundry, loading data into data visualizations, transforming data using python and low code data pipeline building tools.
  • Workflow Development: Build low-code no-code applications that allow end users to see real-time readiness dashboards.
  • Data Integration: Automate and clean the ingestion of data from legacy systems so it's useful for decision-making.
  • Predictive Analytics: Create models to forecast equipment failures, personnel shortages, or budget overruns.
  • PI Planning: Help with feature writing, task decomposition, acceptance criteria, user stories, and processes for extracting dependencies from descriptive models.
  • Ad-Hoc Reporting: Quickly answer critical information requirements by pulling data across different domains, ability to gather customer requirements and deliver a comprehensive statistical analysis to answer their questions.

General Responsibilities:
  • Support project management over data activities to ensure timely delivery in a reactive and agile environment.
  • Engage technical and functional program SMEs, and key data stakeholders to understand business processes, analytical requirements, key data elements, data protection guidelines, etc.
  • Define and develop techniques to integrate, consolidate, and structure data for analytical use.
  • Create data pipelines in python, going from raw data to data products needed for visualization or other analytics products.
  • Understand and analyze complex and organization-specific datasets.
  • Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.
  • Propose alternative designs and processes to manage various types of data using both standard and custom tables and fields.
  • Provide recommendations for improvements in data strategies to include changes to governance, stewardship, integration, and standardization.

Qualifications
Qualifications:
  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline preferred. Relevant experience considered in lieu of a degree.
  • Active DoD Secret clearance required. Must have at a minimum, an Interim Secret Clearance.
  • 10 years of experience with Python, and strong experience with PySpark or similar big data libraries.
  • Knowledge of Army Vantage and data environment standardization.
  • Experience working with data analysis tools including object-oriented programming (Python, Java, SQL, TypeScript), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).
  • Experience developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions
  • Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, or d3.js to communicate findings and relate them back to how insights create business impact
  • Experience with data modeling, building "objects" (e.g., "Soldier," "Tank," "Unit") and defining how they relate to one another in the Foundry environment.
  • Strong background in DevOps and Software Engineering, including GitLab CI/CD, Infrastructure as Code, and implementing Quality Assurance practices like Test-Driven Development (TDD) and unit testing (Pytest).
  • Proven ability to design and scale Medallion Lakehouse Architectures, implement Data Mesh concepts, and utilize Dimensional Modeling (Star Schemas) on cloud platforms like Databricks or DoD Advana.
  • Innovative problem solving and root cause identification skills.
  • Superior communication skills, both oral and written.
  • Able to work effectively at all levels of an organization.
  • Must be a team player and able to work with and through others.
  • Ability to influence and align others and move toward a common vision or goal.
  • Federal government agency experience required

Desired:
  • Master's degree (preferred) in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline.
  • Experience with authoritative data sources, including IPPS-A / MILPDS, GCSS-Army, GFEBS, DTMS / MEDPROS.
  • Experience with Army Vantage
  • Experience with efforts focused on understanding interdependencies of programs within an organization.

Travel: Minimal, less than 10%
Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. Open to Remote
Target salary range: $111,426 - $192,890
Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
#LI-SH1
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Apply