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Internship Remote Statistical Programmer Jobs in Philadelphia, PA

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 ...

Demand Intern

Cedar Brook, NJ · On-site +1

$15.25 - $19.75/hr

THE ROLE This internship supports our Demand planning team This is a unique opportunity to get the ... advance statistical algorithms. WHAT YOU WILL BRING We are looking for candidates who are ...

Conduct statistical analysis to extract key insights from data and communicate findings in ways ... engineering leaders. * Skilled at communicating verbally and in writing to diverse audiences.

Machine Learning Engineer 3- 7882

Philadelphia, PA · On-site +1

$56.25 - $74.50/hr

Position is eligible for 100% remote work. REQUIREMENTS: Master's degree, or foreign equivalent, in Computer Science, any Engineering, Data Science, Business Analytics, Statistics, or related ...

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Internship Remote Statistical Programmer information

See Philadelphia, PA salary details

$85.3K

$148.6K

$251.3K

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

As of Jul 26, 2026, the average yearly pay for internship remote statistical programmer in Philadelphia, PA is $148,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,100.00 and $161,500.00 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.
What are popular job titles related to Internship Remote Statistical Programmer jobs in Philadelphia, PA? For Internship Remote Statistical Programmer jobs in Philadelphia, PA, the most frequently searched job titles are:
What cities near Philadelphia, PA are hiring for Internship Remote Statistical Programmer jobs? Cities near Philadelphia, PA with the most Internship Remote Statistical Programmer job openings:
Infographic showing various Internship Remote Statistical Programmer job openings in Philadelphia, PA as of July 2026, with employment types broken down into 2% Internship, 74% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $148,630 per year, or $71.5 per hour.

Statistical Analytical Programmer

Slipstream IT

PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

At Slipstream, we work to streamline IT Support and provide managed solutions with a strategic consulting and global leadership management approach. Our solutions are designed exclusively for emerging pharma and biotech organizations. Slipstream's industry-leading solutions free clients from the demands of internal IT and allow them to rapidly advance their mission. Led by a leadership team that has been together for over 10+ years, you will join a proven team, culture, and strategy to drive innovation within the IT outsourcing industry while developing your skillset with opportunities for internal growth.
Job Overview:
The Statistical Analytical Programmer plays a key role in turning complex EMR-focused real-world data into clear, analysis-ready datasets and high-quality study outputs. This person will bring strong SAS programming experience and a practical understanding of observational research and epidemiologic methods to support regulatory and scientific projects.
Working closely with epidemiologists, biostatisticians, medical writers, and regulatory partners, this role helps deliver transparent, reproducible analyses that support publications, value evidence, and regulatory decision-making.
Responsibilities and Duties:
  • Analyze real-world datasets to support epidemiologic, scientific, and regulatory projects.
  • Build, validate, and maintain SAS programs for analysis datasets and study outputs.
  • Transform raw real-world data sources-including EMR, EHR, claims, and registries-into accurate, traceable, analysis-ready datasets.
  • Perform quality control and peer review to ensure programming deliverables are accurate and aligned with study plans and SOPs.
  • Document programming decisions and dataset derivations to support reproducibility and audit readiness.
  • Review and validate SAS code and outputs developed by other programmers.
  • Partner with cross-functional teams including epidemiology, biostatistics, medical writing, regulatory, and client stakeholders.
  • Follow internal SOPs, FDA RWE guidance, and other applicable regulatory standards.

Qualification:
  • Education: BS or MS in statistics, biostatistics, epidemiology, computer science, or a related quantitative field.
  • Experience: 5+ years of SAS programming experience in life sciences, ideally supporting observational research, epidemiologic studies, or regulatory projects using real-world data.
  • Special Skills: Strong understanding of real-world data structures, especially EMR- and EHR-based datasets, as well as claims and registry data. Experience supporting retrospective cohort, natural history, burden of illness, comparative effectiveness, and other epidemiologic study designs. Strong programming skills in SAS, with R experience beneficial for data analysis, programming, and statistical workflows. Strong documentation skills, including code annotation, traceability, and reproducibility. Experience with Veeva Vault or similar document management systems is a plus.
  • Personal Characteristics: Collaborative, detail-oriented, and comfortable working across epidemiology, biostatistics, medical writing, and regulatory teams. 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 beneficial.
  • Experience working with Truveta data or similar EMR-based real-world data sources is highly beneficial.

Travel: 10% at the most
Benefits
  • 401k match
  • Comprehensive group health, dental, vision benefits
  • Life insurance/LTD
  • Discretionary PTO

Slipstream is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation or identity, national origin, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Slipstream IT makes hiring decisions based solely on qualifications, merit, and business needs at the time.
This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer