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Internship 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 ...

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Internship Remote Statistical Programmer information

See Frederick, MD salary details

$84K

$146.4K

$247.6K

How much do internship remote statistical programmer jobs pay per year?

As of May 28, 2026, the average yearly pay for internship 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 are the key skills and qualifications needed to thrive as an Internship Remote Statistical Programmer, and why are they important?

To thrive as an Internship Remote Statistical Programmer, you need a solid background in statistics, programming (especially in SAS, R, or Python), and data analysis, often supported by coursework in statistics or computer science. Familiarity with statistical software, data management systems, and tools like SAS or RStudio is typically required. Attention to detail, problem-solving abilities, and effective remote communication skills help interns stand out in both independent and collaborative tasks. These skills and qualities are crucial for delivering accurate analyses, meeting deadlines, and contributing effectively to data-driven projects in a remote environment.

What types of projects and responsibilities can I expect as a remote statistical programming intern?

As a remote statistical programming intern, you'll typically assist with data cleaning, analysis, and reporting tasks under the guidance of senior programmers and biostatisticians. You'll often use software like SAS or R to process clinical trial or research data, create summary tables, and support the preparation of statistical deliverables. Collaboration is usually virtual, involving regular meetings, code reviews, and shared documentation. This role provides an opportunity to build foundational programming skills while contributing to real-world research projects, and you'll gain exposure to industry standards in data management and statistical analysis.

What is a remote statistical programmer internship?

A remote statistical programmer internship is a temporary, entry-level position in which interns work from a remote location to assist with data analysis and statistical programming tasks. Interns typically use programming languages such as SAS, R, or Python to manage and analyze data, often within industries like pharmaceuticals, healthcare, or finance. The role provides hands-on experience with real datasets, supports the work of experienced statisticians or data scientists, and helps interns develop valuable technical and analytical skills. Remote internships allow for flexibility in location and often require strong communication and self-motivation skills.

What is the difference between Internship Remote Statistical Programmer vs Remote Data Analyst?

AspectInternship Remote Statistical ProgrammerRemote Data Analyst
Required CredentialsTypically pursuing or recent graduate in biostatistics, statistics, or related fieldOften degree in statistics, data science, or related field; may have certifications in data analysis tools
Work EnvironmentRemote internship, often part-time, supervised by senior statisticiansRemote or hybrid, full-time or part-time, with focus on data interpretation and reporting
Industry UsageCommon in pharmaceutical, biotech, and clinical research companiesUsed across various industries including healthcare, finance, and marketing

The main difference is that an Internship Remote Statistical Programmer is typically an entry-level, supervised role focused on programming tasks in clinical research, while a Remote Data Analyst often handles broader data analysis responsibilities across industries. Internships are usually temporary and aimed at gaining experience, whereas Data Analysts may have more independent responsibilities.

What are popular job titles related to Internship Remote Statistical Programmer jobs in Frederick, MD? For Internship Remote Statistical Programmer jobs in Frederick, MD, the most frequently searched job titles are:
What cities near Frederick, MD are hiring for Internship Remote Statistical Programmer jobs? Cities near Frederick, MD with the most Internship Remote Statistical Programmer job openings:
Senior Director, Biostatistics

Senior Director, Biostatistics

Altimmune

Gaithersburg, MD โ€ข On-site, Remote

Full-time

Posted 5 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.