ZipRecruiter

Log In

1

R Statistical Programmer Jobs in Maryland (NOW HIRING)

Opgen

Sr. Biostatistician

Rockville, MD · On-site

$126 - $164/hr

Experience with statistical programming languages/applications such as SPSS, SAS, R, or Matlab * Strong communication skills, with the ability to effectively articulate complex, technical information

previous pagenext page

Showing results 21-40

All JobsR Statistical Programmer JobsR Statistical Programmer Jobs in Maryland

R Statistical Programmer information

See Maryland salary details

$82K

$143K

$241.7K

How much do r statistical programmer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for r 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 an R statistical programmer?

An R Statistical Programmer is responsible for writing and optimizing code in R to analyze and manage statistical data, often in industries like pharmaceuticals, finance, or research. They develop data visualizations, automate reports, and ensure data integrity for decision-making. Many work closely with statisticians and data scientists to implement models and validate results. Strong knowledge of statistical methods, data manipulation, and regulatory requirements (in certain industries) is often required.

What does an R statistical programmer do?

A typical day for an R Statistical Programmer often involves writing and optimizing R scripts to analyze datasets, creating data visualizations, and collaborating with data scientists, statisticians, or project managers to deliver actionable insights. You might spend time cleaning and preparing raw data, performing statistical modeling, and documenting your methods to ensure reproducibility. Communication is key, as you'll regularly present your findings to both technical and non-technical stakeholders. Depending on the industry, you may work independently or as part of a team in academic, healthcare, finance, or technology environments.

What are the key skills and qualifications needed to thrive as an R statistical programmer?

To thrive as an R Statistical Programmer, you need a strong foundation in statistics, programming in R, and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools, database management systems (such as SQL), and industry-relevant certifications like SAS or R programming credentials are highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These capabilities ensure accurate data-driven insights, efficient workflow, and effective collaboration within multidisciplinary project teams.

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

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

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

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

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

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

R Statistical Programmer jobs near you
Infographic showing various R Statistical Programmer job openings in Maryland as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $142,952 per year, or $68.7 per hour.

NIST PREP Research Associate in Statistical Software Development for the Illicit Drug Landscape

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$85K/yr

Full-time

Re-posted 6 days ago

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Position: Statistical Software Development for the Illicit Drug Landscape
Position Overview: This position supports an ongoing, interdisciplinary effort within the National Institute of Standards and Technology (NIST) to gain insights from data collected as part of the Rapid Drug Analysis and Research (RaDAR) program. NIST collaborates with public health and public safety stakeholders across the U.S. to analyze real-time data regarding the chemical makeup of illicit drugs. Because this landscape is opaque and rapidly evolving, the team is developing novel statistical and computational tools to model usage patterns, detect emerging trends, and surface analytical insights for stakeholders.
The successful candidate will focus primarily on software development for data science and statistical applications, with an emphasis on building and maintaining an interactive R Shiny web application (or similar tooling) that enables analysts and external stakeholders to explore and answer their own questions about drug compound data. The role also includes contributing to the implementation of statistical methods for projects that arise, such as detecting previously unobserved compounds and emerging trends. This is well-suited to a master's-level scientist who enjoys translating statistical and scientific requirements into robust, usable software.
Citizenship: U.S. Citizenship Preferred
Key Responsibilities
  • Dashboard Development: Design, build, and maintain a production-quality R Shiny application that allows non-statistical users to interactively query, visualize, and interpret high-dimensional drug compound data. Translate stakeholder analysis questions into reusable interface components and workflows.
  • Software Engineering Practices: Develop modular, well-documented, and maintainable R code. Implement reactive data pipelines that remain performant on large, frequently updated datasets.
  • Method Implementation: Collaborate with statisticians to implement and operationalize analysis methods-including approaches for detecting emerging or previously unobserved compounds-as tested, reusable functions and dashboard features.
  • Data Analysis & Visualization: Conduct exploratory data analysis, data provenance and quality evaluation, and create publication- and presentation-quality visualizations (e.g., ggplot2, plotly) to support both the dashboard and team research.
  • Collaboration & Communication: Work closely with statisticians, chemists, and public health stakeholders to gather requirements, iterate on tools, and present software capabilities and analytical findings to technical and non-technical audiences.

Qualifications
  • Master's degree in Statistics, Biostatistics, Data Science, Computer Science, or a related quantitative field.
  • Strong programming proficiency in R, including demonstrated experience developing R Shiny applications.
  • Experience with software development best practices: version control (Git), modular code organization, documentation, and testing.
  • Working knowledge of statistical concepts sufficient to collaborate effectively with statisticians and to implement analytical methods correctly.
  • Proficiency in data manipulation and visualization in R (e.g., tidyverse).
  • Familiarity with reactive programming patterns and performance optimization for interactive applications is desirable.
  • Exposure to spatial, temporal, or spatio-temporal data, or to anomaly/novelty detection methods is a plus.
  • Experience or interest in applying analytical tools to public health, chemistry, forensic science, or epidemiological data.
  • Experience communicating technical ideas and tools to non-technical users.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004899

Apply