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R Programming Language Jobs in Philadelphia, PA (NOW HIRING)

Familiarity with a programming language such as Python, R, or SQL is preferred but not required. * Familiarity with AI and automation tools that support productivity, workflow efficiency, and client ...

Familiarity with a programming language such as Python, R, or SQL is preferred but not required. * Familiarity with AI and automation tools that support productivity, workflow efficiency, and client ...

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

Python (Programming Language) * R Statistics * Statistical Analysis * Statistics * Time Series Analysis * Cloud Environment * Conjoint Analysis * Agentic AI Reports To : Senior Manager and above ...

Knowledge of at least one computer programming language and/or Visual Basic * Knowledge of R, Python, or similar database applications * Familiarity with MS Access or other database applications is ...

Showing results 21-40

R Programming Language information

See Philadelphia, PA salary details

$80.7K

$125.1K

$152.4K

How much do r programming language jobs pay per year?

As of Sep 15, 2026, the average yearly pay for r programming language in Philadelphia, PA is $125,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $140,800.00 per year, depending on experience, location, and employer.

What is an R programming language?

An R Programming Language job involves using R, a statistical computing and graphics programming language, to analyze data, build statistical models, and create visualizations. Professionals in these roles often work in data science, machine learning, finance, healthcare, and academic research. Responsibilities may include writing R scripts, cleaning and processing data, creating reports, and implementing predictive models. Many R developers also integrate R with other tools like SQL, Python, or cloud platforms for data-driven decision-making.

What are the key skills and qualifications needed to thrive in the R programming language position?

Excelling in an R Programmer role requires strong proficiency in R programming, data analysis, and statistical modeling, usually supported by a degree in statistics, data science, computer science, or a related field. Familiarity with data visualization tools (such as ggplot2 or Shiny), version control systems (like Git), and relevant certifications such as the Data Science Council of America (DASCA) or equivalent are often valuable. Strong problem-solving abilities, clear communication, and collaboration skills help R Programmers effectively translate data insights to non-technical stakeholders and work efficiently within project teams. These competencies are crucial for delivering accurate, actionable analyses in various industries including finance, healthcare, and research.

What are the most common challenges faced by R programmers in a typical work environment?

R Programmers often encounter large and complex datasets that require efficient data cleaning and transformation techniques to ensure accuracy in analyses. Another common challenge is optimizing R code for performance, especially when working with big data or integrating R with other programming languages or systems. Additionally, clear communication of technical findings to non-technical stakeholders can be demanding but is essential for business impact. Being adaptable and willing to continuously learn new packages and tools helps overcome these challenges and adds significant value to the team.

What are popular job titles related to R Programming Language jobs in Philadelphia, PA?

For R Programming Language jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching R Programming Language jobs in Philadelphia, PA look for?

The top searched job categories for R Programming Language jobs in Philadelphia, PA are:

Infographic showing various R Programming Language job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $125,126 per year, or $60.2 per hour.

Healthcare Operations Data Analyst

Philadelphia, PA • Hybrid

Rothman Orthopaedics
1 - 5K employees

Full-time

Medical, Dental, Retirement, PTO

Re-posted 15 days ago


Key responsibilities

  • Support operational reporting and analysis needs by working closely with stakeholders.

  • Create and present reports, updates, and recommendations to drive operational decision-making.

  • Conduct ad-hoc analysis and develop dashboards to measure key performance indicators and identify opportunities for improvement.


Rothman Orthopaedics rating

5.9

Company rating: 5.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Rothman Orthopaedics is looking to hire a full time Healthcare Operations Data Analyst based in our Center City Philadelphia office! This is a hybrid position that requires two days a week onsite. 

Job Summary: 

The Healthcare Operations Data Analyst partners with operational leaders across ancillary and clinical departments to identify opportunities, measure key performance index, and drive operational improvement through analytics. The role will develop meaningful dashboards, performs operational analyses, translates business needs into data solutions, and provides actionable recommendations that improve patient access, provider productivity, and organizational efficiency.

Essential Duties:

  1. The Data Analyst role will work closely with the Data Science team, Ancillary team, Office managers and other stakeholders to support operational reporting and analysis needs
  2. Publish and/or present meaningful reports, updates and recommendations that will drive operational decision-making to stake holders
  3. Collaborate with the ancillary team to comprehend reporting requirements and devise strategies to fulfill any unmet needs
  4. Acting as a liaison between ancillary department and data science team within the enterprise to ensure and maintain data precision 
  5. Create concise documentation to detail strategic solutions and analyses
  6. Conduct ad-hoc analysis and reporting as needed

Minimum Requirements:

  • Bachelor's Degree in Analytics, Computer Science, Statistics, Healthcare Administration or related quantitative field
  • 2-3 Years experience in healthcare analytics, business intelligence, operations analytics or related analytical role
  • Proficient in data analysis and interpretation, showcasing strong analytical abilities.
  • Ability to work with complex data with strong problem-solving and reasoning skills.
  • Advanced Excel skills

Preferred Qualifications:

  • Experience in Healthcare industries
  • Experience in Tableau or PowerBI
  • Experience in SQL, Python/R or similar programming language
  • Familiarity with healthcare data  

Our Commitment to Employees:

Come work at Rothman Orthopaedics! Our employees are our single greatest asset, as such, we strive to provide a professional, nurturing environment where every member of our team can make a meaningful difference in the lives of others. This commitment to our employees has earned us the distinction as a Top Workplace in Philadelphia by the Philadelphia Inquirer year after year. Our employees enjoy competitive pay, comprehensive health and dental benefits, tuition reimbursement, paid time off, and retirement savings plans.

 Rothman Orthopaedics is an Equal Opportunity employer committed to providing opportunities to all qualified applicants without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. We value developing an inclusive and equitable environment that strengthens our organization and allows us to better attract and retain a diverse workforce that is representative of our patients and our community. We model our values by creating and enacting practices that encourage participation from all backgrounds, perspectives, and experiences.


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