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Remote Statistical Programmer Jobs in Silver Spring, MD

BlueLabs, Inc.

Data Analyst I

Washington, DC · On-site +1

$67K/yr

Proficient understanding of a statistical programming language such as R, Python, or Julia * The ... Remote friendly (within the U.S.) * Pre-tax transportation options for commuting to our office in ...

Emmes

Biostatistician

Rockville, MD · Remote

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

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Remote Statistical Programmer information

See Silver Spring, MD salary details

$87.1K

$151.8K

$256.6K

How much do remote statistical programmer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote statistical programmer in Silver Spring, MD is $151,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $164,900.00 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 Silver Spring, MD? The most popular types of Statistical Programmer jobs in Silver Spring, MD are:
What are popular job titles related to Remote Statistical Programmer jobs in Silver Spring, MD? For Remote Statistical Programmer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Programmer jobs in Silver Spring, MD look for? The top searched job categories for Remote Statistical Programmer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Statistical Programmer jobs? Cities near Silver Spring, MD with the most Remote Statistical Programmer job openings:
Remote Statistical Programmer jobs near you
Infographic showing various Remote Statistical Programmer job openings in Silver Spring, MD as of May 2026, with employment types broken down into 78% Full Time, 14% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $151,801 per year, or $73 per hour.
Data Analyst I

Data Analyst I

BlueLabs, Inc.

Washington, DC • On-site, Remote

$67K/yr

Full-time

Medical, Retirement, PTO

Posted 17 days ago

Job description

About BlueLabs
BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world's greatest social and analytical challenges. Since our inception we've worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we've developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.
About the Team
The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients' work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.
About the Role:
Data Analysts are instrumental members of BlueLabs Data Science and engagement teams. They gain exposure to all parts of our process, from collecting and organizing data, to analyzing trends and predicting outcomes, and working with clients to understand how these insights can be used to improve program efficiency. Data Analysts are able to work both as part of a team and independently, completing projects in a fast-paced environment, error-free, and on short deadlines. You will receive strong mentorship and be given a chance to complete projects independently.
In This Position You Will:
  • Analyze data, as well as contribute to the design, implementation, and delivery of analytics products and services
  • Support the team in building predictive models, tools, and data visualizations
  • Check data and modeling results for quality and clean, transform, aggregate, and report on data as needed
  • Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
  • Strive to support team excellence by documenting processes and evangelizing new approaches
  • Work both independently and as part of a team to deliver accurate products on short deadlines
  • Such other reasonable tasks as assigned by management.

What We Are Seeking:
  • An undergraduate degree in a quantitative field or equivalent work experience
  • Conceptual understanding of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.)
  • Proficient understanding of a statistical programming language such as R, Python, or Julia
  • The ability to create informative and engaging data visualizations using industry leading tools
  • The ability to build predictive models using regression and machine learning techniques
  • The ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally
  • Knowledge of experimental design and causal inference
  • The ability to create user interfaces for new products using frameworks such as Shiny or Django
  • The ability to learn SQL to manipulate data

What We Offer:
BlueLabs offers a friendly work environment and competitive compensation and benefits package including:
  • Salary: $67,000
  • Premier health insurance plan
  • 401K matching
  • Unlimited vacation leave
  • Paid sick, personal, and volunteer leave
  • 13 paid holidays
  • 15 weeks paid parental leave
  • Professional development stipend & tuition reimbursement
  • Macbook Pro laptop & tech accessories
  • Bring Your Own Device (BYOD) stipend for mobile device
  • Employee Assistance Program (EAP)
  • Supportive & collaborative culture
  • Flexible working hours
  • Remote friendly (within the U.S.)
  • Pre-tax transportation options for commuting to our office in Washington, DC
  • Lunches and snacks
  • And more!

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations. BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site).
Collection of Personal Information Notice:
As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.

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