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Internship Remote Statistical Programmer Jobs (NOW HIRING)

Slipstream IT

Statistical Analytical Programmer

PA · Remote

Able to work independently in a remote environment and manage timelines effectively. Preferred Qualifications: * Experience with R for data analysis, programming, or statistical workflows is highly ...

Slipstream IT

Statistical Analytical Programmer

PA · On-site +1

Able to work independently in a remote environment and manage timelines effectively. Preferred Qualifications: * Experience with R for data analysis, programming, or statistical workflows is highly ...

Claims Conference

Statistical Programming Assistant

Statistical Programming Assistant The Conference on Jewish Material Claims Against Germany (Claims ... Note: This is a part-time remote role, 15 hours per week. Responsibilities * Assist with data ...

Natera

Director of Statistical Programming

San Francisco, CA · On-site +1

$186K - $233K/yr

This is an exciting opportunity to lead Natera's Statistical Programming team, specifically focused ... Remote USA $186,400--$233,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

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

As of Jul 4, 2026, the average yearly pay for internship remote statistical programmer in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 per year, depending on experience, location, and employer.

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 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 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.
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Internship Remote Statistical Programmer jobs near you
Infographic showing various Internship Remote Statistical Programmer job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 3% As Needed, 23% Full Time, 65% Part Time, 5% Temporary, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.
Associate Director, Statistical Programming

Associate Director, Statistical Programming

Amylyx Pharmaceuticals

Cambridge, MA • On-site, Remote

Other

Posted 11 days ago

Job description

The Opportunity

Reporting into the Statistical Programming function, you will be responsible for providing hands-on programming support and technical guidance on clinical trials and regulatory submissions. In this role you will lead design, development, and quality control process for SAS programs used to access, extract, transform, review, analyze, and submit clinical data for individual studies. You will participate in departmental and cross-functional technology development and process improvement initiatives. 

Responsibilities

  • Effectively design and code SAS programs using BASE/SAS, SAS/STAT, SAS/GRAPH and SAS MACROS for assigned clinical projects(s).
  • Produce and deliver CDISC and regulatory compliant SDTM, and ADaM standard datasets including datasets specifications for datasets programming.
  • Develop and execute statistical analysis and reporting deliverables (tables, figures and listings (TFLs)) in a timely and high-quality fashion, consistently meeting objectives of the study, and regulatory requirements.
  • Perform quality control checks/validation of SAS code and output produced by other Statistical Programmers for SDTM datasets, ADaM datasets, fit-for-purpose analysis datasets, and TFLs.
  • Create and review eCTD documents to support regulatory submission package.
  • Provide programming support for building integrated summary of safety/efficacy datasets and analysis.
  • Provide programming support for ad hoc analyses and data listing review.

Required Qualifications

  • MS in Statistics, Computer Science, or a related field with at least 6 years of SAS programming experience in the pharmaceutical or biotech industry. (BS in Statistics, Computer Science or related field with at least 8 years' experience in pharma or biotech also considered).
  • Proficient in SAS programming.
  • In-depth knowledge of CDISC standards for SDTM and ADaM and FDA electronic data submission requirements.
  • Working knowledge of R strongly preferred.
  • Experience in leading statistical programming to early and late phase clinical trials, integrated summary safety/efficacy datasets and analysis, electronic submission data package in the eCTD format and regulatory submissions (NDA, MAA).
  • Experience with FDA and ICH regulations and guidelines.
  • Ability to manage multiple projects simultaneously, to manage conflicting priorities, and to be flexible when priorities change.
  • Excellent written and verbal communication skills and organizational and documentation skills.
  • Ability to work on a multidisciplinary team that may include Biostatistics, Medical Directors, Data Management, Medical Writing, Pharmacovigilance, Clinical Operations, Medical Affairs, etc.

Work Location and Conditions

  • At Amylyx, we proudly support remote work opportunities within the United States. However, due to business considerations related to health insurance coverage and state tax regulations, we are unable to hire employees who reside and/or work in certain states. Currently, we are not considering applicants from Alaska, Arizona, Hawaii Michigan and Tennessee.
  • You will be expected to travel to our corporate location in Cambridge, MA several times a year and attend other company-related events as necessary and requested.
  • You must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at your remote location.

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