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Remote Statistical Programmer Jobs in Philadelphia, PA

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 ...

ICON

Clinical Data Standard Consultant

Blue Bell, PA · On-site +1

Senior Statistical Programmer ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values ...

Serigor, Inc.

UX Researcher (Remote)

Conshohocken, PA · On-site +1

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.

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Data Scientist (Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid ... Apply statistical and analytical techniques to solve real-world business problems and uncover ...

ORS Partners

Senior Database Reliability Engineer

Malvern, PA · On-site +1

$104K - $141K/yr

This role is Remote or Hybrid to one of our offices: Austin, Naperville or Wayne. Frontline has a ... Maintain and report system performance statistics. * Designing databases for optimal application ...

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All JobsStatistical Programmer JobsRemote Statistical Programmer JobsRemote Statistical Programmer Jobs in Philadelphia, PA

Remote Statistical Programmer information

See Philadelphia, PA salary details

$85.3K

$148.6K

$251.3K

How much do remote statistical programmer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for 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 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.

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 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.
More about Remote Statistical Programmer jobs
What are the most commonly searched types of Statistical Programmer jobs in Philadelphia, PA? The most popular types of Statistical Programmer jobs in Philadelphia, PA are:
What are popular job titles related to Remote Statistical Programmer jobs in Philadelphia, PA? For Remote Statistical Programmer jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Programmer jobs in Philadelphia, PA look for? The top searched job categories for Remote Statistical Programmer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Statistical Programmer jobs? Cities near Philadelphia, PA with the most Remote Statistical Programmer job openings:
Remote Statistical Programmer jobs near you
Infographic showing various Remote Statistical Programmer job openings in Philadelphia, PA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% 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

Re-posted 2 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

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