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R Statistical Programmer Jobs in Philadelphia, PA

MSD

Senior Statistical Programmer

North Wales, PA · On-site

Significant SAS or R programming experience for data manipulation, analysis and reporting * Designs ... Implements statistical methods not currently available through commercial software packages

Merck & Co.

Senior Statistical Programmer

North Wales, PA · On-site

$117 - $184.20/hr

Significant SAS or R programming experience for data manipulation, analysis and reporting * Designs ... Implements statistical methods not currently available through commercial software packages

KG Tiger

Statistical Programmer

Plymouth Meeting, PA

... R programming, machine learning, SPSS Excellent communication and interpersonal skills Qualifications Master's degree/Ph.D. in Statistics, Mathematics or related field with two to five years of ...

MMS

Study Design Statistician (US)

Philadelphia, PA · On-site

Our experienced statisticians and programmers develop intellectual property and assets to support ... Experience in SAS and/ or R statistical software packages. * Experience in study design and ...

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All JobsR Statistical Programmer JobsR Statistical Programmer Jobs in Philadelphia, PA

R Statistical Programmer information

See Philadelphia, PA salary details

$85.3K

$148.6K

$251.3K

How much do r statistical programmer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for r 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 an R statistical programmer?

An R Statistical Programmer is responsible for writing and optimizing code in R to analyze and manage statistical data, often in industries like pharmaceuticals, finance, or research. They develop data visualizations, automate reports, and ensure data integrity for decision-making. Many work closely with statisticians and data scientists to implement models and validate results. Strong knowledge of statistical methods, data manipulation, and regulatory requirements (in certain industries) is often required.

What does an R statistical programmer do?

A typical day for an R Statistical Programmer often involves writing and optimizing R scripts to analyze datasets, creating data visualizations, and collaborating with data scientists, statisticians, or project managers to deliver actionable insights. You might spend time cleaning and preparing raw data, performing statistical modeling, and documenting your methods to ensure reproducibility. Communication is key, as you'll regularly present your findings to both technical and non-technical stakeholders. Depending on the industry, you may work independently or as part of a team in academic, healthcare, finance, or technology environments.

What are the key skills and qualifications needed to thrive as an R statistical programmer?

To thrive as an R Statistical Programmer, you need a strong foundation in statistics, programming in R, and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools, database management systems (such as SQL), and industry-relevant certifications like SAS or R programming credentials are highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These capabilities ensure accurate data-driven insights, efficient workflow, and effective collaboration within multidisciplinary project teams.

What are the most commonly searched types of R Statistical Programmer jobs in Philadelphia, PA?

The most popular types of R Statistical Programmer jobs in Philadelphia, PA are:

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For R Statistical Programmer jobs in Philadelphia, PA, the most frequently searched job titles are:

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R Statistical Programmer jobs near you
Infographic showing various R Statistical Programmer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 62% In-person, 13% Hybrid, and 25% Remote job distribution, with an average salary of $148,630 per year, or $71.5 per hour.

Statistical Programmer

i-Pharm Consulting

Philadelphia, PA • On-site

Other

Posted 12 days ago

Job description

Statistical Programmer — Fractional Contract | Medical Device / Drug | Philadelphia 🚀

Contract Type: Part-Time Fractional Contract (~20 hrs/week) ⏱️

Location: Philadelphia 🌎

Impact: Deliver FDA-facing statistical programming for high-stakes medical device programmes 🎯


About

A leading specialist medical device biostatistics consultancy is growing its bench of expert contract programmers to support an expanding portfolio of FDA-facing clinical programmes. Clients are predominantly PE-backed medical device sponsors in spinal, neurological, and adjacent device therapy areas — companies operating under intense regulatory scrutiny where the quality of statistical work directly shapes regulatory outcomes.


This is a senior-only shop. Everyone on the team was hired to do the work — not manage it. If you're a programmer who wants to stay close to meaningful science and work at pace with people who set the standard, this is worth your attention.


Why

Fractional hours. Exciting and fast-paced work. This role is built for programmers who want flexibility without stepping away from high-quality, impactful clinical programmes. You'll be embedded in active medical device trials from day one, working directly alongside senior FDA-facing biostatisticians — and for those with regulatory ambition, there is a clear and supported pathway to get there.


What You'll Do

  • Develop and deliver SAS and/or R programmes across active medical device clinical trials
  • Build and validate datasets, tables, figures, and listings to regulatory-ready standards
  • Collaborate directly with senior biostatisticians on sponsor-facing deliverables
  • Respond to time-sensitive requests with pace and precision — FDA timelines are real
  • Develop regulatory knowledge over time, with mentorship available from senior leadership


Requirements

  • Strong hands-on SAS and/or R programming experience — active delivery, not oversight
  • Background in clinical trials or a regulated data environment
  • Medical device experience is a significant advantage — not an absolute requirement
  • CDISC familiarity is useful but not mandatory — device programmes operate differently
  • Intrinsically curious, eager to learn, and proactive — this team rewards people who go beyond the brief


Why It's Special

  • Fractional and flexible — ~20 hours per week with room to grow
  • Direct access to some of the most experienced FDA-facing biostatisticians in the device space
  • Clear pathway into regulatory science for the right candidate
  • Work on genuinely high-stakes programmes for well-capitalised device sponsors
  • Senior-only environment — no layers, no noise, just high-quality work

Apply