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Remote Statistical Programmer Jobs in Maryland (NOW HIRING)

Econometrica

Senior SAS/Python Programmer

Bethesda, MD · On-site +1

... Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is a ... The candidate will work alongside a multidisciplinary team of statistical programmers, data ...

CSAA

Proficiency in statistical analysis and programming languages, such as: SQL, R, Python, Radar, etc ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSAA

Proficiency in statistical analysis and programming languages, such as: SQL, R, Python, Radar, etc ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

ManTech

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

BA/BS in Math, Statistics, Engineering, Computer Science, or related field * Proficiency with ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Emmes

Biostatistician

Rockville, MD · On-site +1

... statistical methods and applications in clinical research. * Strong programming skills in SAS and ... Remote Employment Type: FULL_TIME

Booz Allen Hamilton, Inc.

AI and ML Engineer

Annapolis, MD · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0232485 Location: Annapolis Junction,MD,US Share job via: Share AI and ... Your ability to conduct statistical analyses on business processes using ML techniques makes you an ...

Leidos

Data Scientist

Bethesda, MD · On-site +1

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Statistics, Engineering, Physics, or Computational Social Science; or Master's degree or equivalent ...

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Annapolis, MD · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0243058 Location: Annapolis Junction,MD,US Share job via: Share ... Your ability to conduct statistical analyses on business processes using ML techniques makes you an ...

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Remote Statistical Programmer information

See Maryland salary details

$82K

$143K

$241.7K

How much do remote statistical programmer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote statistical programmer in Maryland is $142,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $155,300.00 per year, depending on experience, location, and employer.

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 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 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 Maryland?

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

What are popular job titles related to Remote Statistical Programmer jobs in Maryland?

For Remote Statistical Programmer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Statistical Programmer jobs in Maryland look for?

The top searched job categories for Remote Statistical Programmer jobs in Maryland are:

What cities in Maryland are hiring for Remote Statistical Programmer jobs?

Cities in Maryland with the most Remote Statistical Programmer job openings:

Remote Statistical Programmer jobs near you
Infographic showing various Remote Statistical Programmer job openings in Maryland as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $142,952 per year, or $68.7 per hour.

Senior SAS/Python Programmer

Econometrica

Bethesda, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

Job Title
Senior SAS/Python Programmer
Job Type
Full-time
Location
Bethesda Office - Bethesda, MD 20814 US (Primary)
Remote (Virtual) - US - US
Travel
Job Description
About Econometrica, Inc.
Econometrica, Inc., is a research and management organization committed to providing high-quality, cost-effective economic and analytical services for clients in the private and public sectors. Since its founding in 1998, Econometrica has been involved in complex, high-profile contracts for numerous Federal departments and agencies in the healthcare, education, transportation, energy, housing, and finance sectors. Econometrica specializes in research, econometric, analytical, and technical support for our clients, with an emphasis on data science, data analytics, statistics, economic analyses, and program implementation and evaluation services.
The Opportunity
Econometrica is seeking a Senior Programmer to lead the AI-assisted conversion of large legacy SAS codebases into modern SQL- and Python-based cloud computing environments. This is a hands-on engineering role for someone who is genuinely fluent in both languages: the ideal candidate can read a 3,000-line SAS macro with nested %DO loops, PROC SQL pass-through, and multi-level formats and understand what the equivalent, maintainable Python or SQL implementation should look like.
The selected candidate will use large language models (LLMs) and generative AI tooling as a force multiplier - not as a black box. A central responsibility of this role is designing the workflow that makes AI-assisted conversion trustworthy: decomposing legacy code into translatable units, engineering prompts and context that produce correct output, and building the automated validation harnesses that prove the converted code reproduces the original results to the row and to the decimal. The candidate will work alongside a multidisciplinary team of statistical programmers, data engineers, data scientists, and client stakeholders, and will help establish the conversion patterns, standards, and documentation that subsequent modernization projects reuse.
Tasks may include the following:
  • Assessing and inventorying existing SAS code bases-including DATA steps, PROC SQL, macros, arrays, formats, and complex conditional logic-to determine business logic, data lineage, dependencies, and modernization priorities.
  • Designing, prompting, and iterating on LLM-based conversion workflows to re-engineer SAS programs for Python- and SQL-based cloud environments while avoiding literal "SAS-in-Python" anti-patterns and applying appropriate performance optimizations.
  • Building and running equivalence-testing harnesses that compare legacy SAS output against converted output at scale - row counts, key-level joins, column-by-column value comparison with defined numeric tolerances, distributional checks, and edge-case handling - and documenting every accepted discrepancy with its justification.
  • Refactoring machine-generated code into production-quality, modular pipelines in modern cloud environments, which may include Azure or AWS, and coordinating with the Data Engineering team on orchestration, scheduling, and deployment.
  • Identifying data quality issues surfaced during conversion and developing recommendations on how to resolve them to ensure data completeness, consistency, and accuracy for clients' analytical products.
  • Documenting conversion methodology, mapping logic, validation evidence, and residual risk in a form suitable for client acceptance, audit, and recordkeeping requirements - and preparing plain-language summaries for nontechnical audiences.
  • Mentoring junior SAS and Python programmers on modernization techniques and on the responsible, verified use of AI coding assistants.

Education and Qualifications
Required Skills and Experience:
  • Five (5) or more years of hands-on experience using SAS for data analytics and reporting.
  • Three (3) or more years of hands-on experience manipulating data in Python, with required proficiency in Pandas.
  • Three (2) or more years of hands-on experience working in a modern cloud environment (Azure, AWS, or GCP).
  • Two (2) or more years of hands-on experience conducting advanced data analysis in SQL.
  • Ability to independently investigate and lead to completion programming tasks of high complexity, and to independently conduct quality assurance and troubleshoot coding issues.
  • Ability to work effectively in a multidisciplinary team setting and to develop effective relationships with clients, consultants, and contractors.
  • Ability to obtain and maintain public trust security clearance.

Desired Skills and Experience:
  • SAS Base and Advanced certifications.
  • Certifications in cloud architecture, data engineering, or related disciplines.
  • Demonstrated experience converting, refactoring, or re-platforming legacy analytic code, with a documented approach to validating that modernized outputs match legacy results.
  • Experience with version control (Git) and collaborative development workflows, including code review and documentation.
  • Experience with distributed processing frameworks (e.g., Spark/PySpark) for large-scale data transformation.

Additional requirements for the position could involve occasional travel relevant to the responsibilities noted above.
Education
Master's or doctorate-level degree in data science, computer science, mathematics, or a related field; OR ten (10) years of applied work experience in one of the same fields.
Our Generous Benefits Package Includes:
  • Being part of a dynamic research group that continues to grow.
  • Company-sponsored healthcare plan and optional vision/dental coverage.
  • Excellent training and development opportunities.
  • Referral bonuses.
  • 401(k) program.
  • Organized social activities.
  • Metro SmartBenefits® Program.

Work Environment
This position is remote, though candidates may choose to work in Econometrica's office if they are local.
The office is located at a Metro stop in beautiful downtown Bethesda, MD, within walking distance of great restaurants and local fare. We have a typical office setting with a quiet-to-moderate noise level.
Physical Requirements
The physical requirements are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Other instructions and related duties may be assigned by the employee's supervisor.
Econometrica, Inc., is an Equal Opportunity Employer (EOE), and we seek to create an inclusive workplace that embraces diverse backgrounds, life experiences, and perspectives.

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