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Remote Statistical Programmer Jobs in Baltimore, MD

Dlapiper

Data Scientist

Baltimore, MD · On-site +1

... and software engineering. Identifies patterns and looks for opportunities for optimization ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

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All JobsStatistical Programmer JobsRemote Statistical Programmer JobsRemote Statistical Programmer Jobs in Baltimore, MD

Remote Statistical Programmer information

See Baltimore, MD salary details

$84K

$146.4K

$247.4K

How much do remote statistical programmer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote statistical programmer in Baltimore, MD is $146,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,200.00 and $159,000.00 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.

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What are the most commonly searched types of Statistical Programmer jobs in Baltimore, MD?

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Remote Statistical Programmer jobs near you
Infographic showing various Remote Statistical Programmer job openings in Baltimore, MD as of August 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 100% Remote job distribution, with an average salary of $146,355 per year, or $70.4 per hour.

Data Analytics Manager (GYN/OB)

Johns Hopkins University

Baltimore, MD • Remote

Full-time

Posted 14 days ago

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

190th of 629 rated colleges and universities

Job description

We are seeking a Data Analytics Manager who will create and execute approaches for using quantitative data and methods to understand and review complex issues and business needs of the assigned area. This position has a strong knowledge in analytics, is proficient in a general programming language (like Python) or a statistical package (R) and has an appetite for engaging in non-quantitative aspects of the innovation process. Specific Duties & Responsibilities Lead the development and implementation of strategies for using quantitative data and methods to understand complex business issues.

Shape and conduct approaches for collecting, organizing, and analyzing data, including methods for creating new data (e.g. through surveys) when there is limited or no data. Employ diverse quantitative methodologies and software packages, including data validation, joining of diverse datasets, historical/trend analysis, comparative/cross-sectional analysis, GIS mapping, regression analysis, etc

Invent and quickly iterate novel solutions to challenging data-related problems. Create and manage project plans for the quantitative data components of all teamwork. Develop and manage partnerships and collaborations with data providers and stakeholders.

Champion the use of quantitative data to drive decisions. Produce compelling and intuitive data visualizations to drive comprehension of complex topics and concepts across a broad range of stakeholders. Communicate data analysis so that information and findings are accessible to a non-technical audience, including through dashboard tools like Tableau or Microsoft Power BI.

Develop metrics and measurement systems to measure the impact of the team's projects and initiatives. Connect data insights to research and collaborate with team members to conduct research sessions including focus groups, interviews, and user testing. Support analogous research and literature reviews.

Serve as a key participant in each step of the area's data methodology, providing a quantitative perspective to all projects. Serve as a lead for the data analytics team. Perform other related duties as requested.

This position is to support research on reproductive health, maternal and infant outcomes, and health policy. This position is ideal for candidates with strong quantitative and epidemiologic skills who are interested in applying data science to pressing public health issues. The role will involve managing, cleaning, and analyzing large administrative and claims datasets, supporting and leading statistical analyses, drafting manuscripts for publication, and providing broader research support as needed.

The Data Analytics Manager will need to, clean, manage, and analyze large, complex datasets using statistical software (e.g., Stata, R). Contribute to study design, data interpretation, and statistical modeling. Draft and edit manuscripts for submission to peer-reviewed journals

Collaborate with research teams across institutions and disciplines. Provide mentorship to graduate students and research assistants, as needed. Minimal travel may be expected for conferences or collaborative meetings.

Minimum Qualifications Bachelor's Degree. Seven years of related experience. Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent permitted by the JHU equivalency formula.

PhD in epidemiology, demography, or related field. Five or more year's experience supporting or leading research on related topics. Content area expertise in reproductive and perinatal epidemiology.

Extensive experience working with claims data and vital statistics data. Strong publication record. Technical Skills and Expected Level of Proficiency Data Architecture -Advanced Database Querying - Advanced Data Strategy and Innovation - Advanced Data Visualization - Advanced Project Management - Advanced Program Evaluation - Advanced Stakeholder Engagement - Advanced Statistics - Advanced The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.

Classified Title: Data Analytics Manager Role/Level/Range: ATP/04/PE Starting Salary Range: $41.28 - $72.25 HRLY ($30,544.80 targeted; Commensurate w/exp.) Employee group: Casual / On Call Schedule: Monday - Friday 8am - 5pm FLSA Status: Exempt Location: Remote Department name: SOM OB GYN Bay Gynecology Obstetrics Bay Personnel area: School of Medicine

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876

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