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Remote Statistical Programmer Jobs in Frederick, MD

Hybrid or Remote Reporting to the Vice President, Biometrics, the Senior Director, Biostatistics ... Collaborate closely with statistical programming to ensure appropriate implementation of analyses ...

... data management, and statistical programming, and serves as a key partner in shaping cross ... Depending upon location, this role will be hybrid or remote and will require some travel as ...

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

Remote arrangements can also be considered. Otsuka maintains a hybrid work policy and travel is ... In-depth knowledge of statistical principles, applications, and SAS/R programming software.

Remote arrangements can also be considered. Otsuka maintains a hybrid work policy and travel is ... In-depth knowledge of statistical principles, applications, and SAS/R programming software.

Remote Statistical Programmer information

See Frederick, MD salary details

$84K

$146.4K

$247.6K

How much do remote statistical programmer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote statistical programmer in Frederick, MD is $146,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,300.00 and $159,100.00 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.

What are the most commonly searched types of Statistical Programmer jobs in Frederick, MD? The most popular types of Statistical Programmer jobs in Frederick, MD are:
What are popular job titles related to Remote Statistical Programmer jobs in Frederick, MD? For Remote Statistical Programmer jobs in Frederick, MD, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Programmer jobs in Frederick, MD look for? The top searched job categories for Remote Statistical Programmer jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Remote Statistical Programmer jobs? Cities near Frederick, MD with the most Remote Statistical Programmer job openings:
Senior Director, Biostatistics

Senior Director, Biostatistics

Altimmune

Gaithersburg, MD โ€ข On-site, Remote

Full-time

Posted 8 days ago


Job description

Work Location: Hybrid or Remote

Reporting to the Vice President, Biometrics, the Senior Director, Biostatistics will provide strategic and technical statistical leadership across one or more clinical development programs within Altimmune's portfolio. This individual will serve as lead statistician for key development programs and collaborate closely with cross-functional teams, including Clinical Development, Clinical Science, Statistical Programming, Data Management, Regulatory Affairs, Medical Affairs, and Clinical Operations, to design, conduct, analyze, and interpret clinical studies across all phases of development.

The Senior Director will be responsible for the overall quality and scientific integrity of statistical strategy, study design, analyses, interpretation, and data reporting. This individual will contribute to regulatory interactions, oversee statistical activities performed in-house or by CROs and vendors, and play a key role in advancing innovative quantitative approaches to support clinical development and decision-making. Depending upon location, this role will be hybrid or remote and may require some travel as business needs dictate.

Essential Functions:
  • Provide strategic statistical leadership for clinical development programs, including MASH and other indications.
  • Serve as lead statistician for one or more development programs and contribute to overall development strategy, study design, endpoint selection, and evidence generation plans.
  • Partner cross-functionally with Clinical, Regulatory, Medical Affairs, Pharmacovigilance, Data Management, Statistical Programming, and Clinical Operations to ensure alignment on study objectives, analyses, and interpretation.
  • Lead development and review of statistical sections of protocols, SAPs, CRFs, clinical study reports, publications and regulatory submission documents.
  • Provide statistical input into regulatory interactions and contribute to IND, NDA, and BLA submissions, including responses to health authority questions.
  • Direct and oversee statistical analyses for interim analyses, DMC support, topline results, and final study analyses.
  • Ensure timely and high-quality delivery of statistical outputs, analyses, tables, listings, and figures to support clinical development and regulatory submissions.
  • Collaborate closely with statistical programming to ensure appropriate implementation of analyses and adherence to CDISC standards.
  • Oversee statistical activities and deliverables from CROs and external vendors, ensuring scientific rigor, operational excellence, and compliance with regulatory standards and internal processes.
  • Interpret clinical trial results and contribute to internal decision-making, governance discussions, publications, presentations, and external scientific communications.
  • Contribute to strategic planning, scenario evaluation, and go/no-go decision-making across programs.
  • Evaluate and implement innovative statistical methodologies and quantitative approaches to enhance clinical development programs.
  • Provide mentorship and technical guidance to statisticians and statistical programmers, including in areas related to AI/ML and advanced analytics.
  • Support departmental initiatives, process improvements, inspection readiness activities, and the continued evolution of the Biometrics function.
Job Requirements (Essential knowledge, skills, and attributes):
  • PhD or Master's in Statistics, Biostatistics, or related MS with significant industry experience required
  • 10+ years of experience in clinical trial statistics within biotech, pharmaceutical, or CRO environments, including late-stage clinical development experience.
  • Strong understanding of statistical methods for clinical trials, including longitudinal data analysis, survival analysis, missing data methodology, estimands, adaptive designs, and Bayesian approaches.
  • Demonstrated experience supporting regulatory interactions and major regulatory submissions (IND/NDA/BLA/MAA).
  • Experience serving as lead statistician for complex clinical development programs.
  • Strong knowledge of ICH-GCP, regulatory expectations, and industry standards, including CDISC (SDTM/ADaM).
  • Proficiency in SAS and/or R.
  • Excellent communication, collaboration, and leadership skills, with the ability to influence cross-functional teams and senior stakeholders.
  • Ability to operate effectively in a fast-paced, entrepreneurial biotech environment with a balance of strategic thinking and hands-on execution.
  • Experience managing and overseeing CROs and external statistical vendors.

Preferred Experience:

  • Prior experience in liver disease or metabolic indications (e.g., MASH/NASH, obesity, diabetes).
  • Experience with external control arms, real-world evidence, or synthetic cohort methodologies.
  • Familiarity with non-invasive biomarkers, imaging endpoints, and emerging regulatory expectations in metabolic disease.
  • Exposure to AI/ML applications in drug development or advanced analytics.

Altimmune provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.