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R Statistics Jobs (NOW HIRING)

Medpace, Inc.

R Programmer

Cincinnati, OH · On-site

Contribute to internal R package development for efficient cross-departmental programming practices ... statistics, or related field; * Analytical thinker with great attention to detail; * Ability to ...

Medpace, Inc.

R Programmer

Irving, TX · On-site +1

Contribute to internal R package development for efficient cross-departmental programming practices ... statistics, or related field; * Analytical thinker with great attention to detail; * Ability to ...

Medpace

R Programmer

Cincinnati, OH · On-site

$85 - $120/hr

Contribute to internal R package development for efficient cross-departmental programming practices ... statistics, or related field; * Analytical thinker with great attention to detail; * Ability to ...

Medpace, Inc.

R Programmer

Cincinnati, OH · On-site +1

Contribute to internal R package development for efficient cross-departmental programming practices ... statistics, or related field; * Analytical thinker with great attention to detail; * Ability to ...

Medpace, Inc.

R Programmer

Irving, TX · On-site

Contribute to internal R package development for efficient cross-departmental programming practices ... statistics, or related field; * Analytical thinker with great attention to detail; * Ability to ...

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R Statistics information

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$37.5K

$122.7K

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How much do r statistics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for r statistics in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an R statistics?

An R Statistics job involves using the R programming language for data analysis, statistical modeling, and visualization. Professionals in this role work with datasets to derive insights, create reports, and develop predictive models. Common industries include healthcare, finance, academia, and technology. Key skills include proficiency in R, data manipulation, statistical techniques, and knowledge of machine learning or data science concepts.

What types of projects or data sets might I work with as an R statistics professional?

As an R Statistics professional, you may work with a wide range of projects and data sets, including customer behavior analytics, health outcomes research, financial modeling, or experimental and survey data. Your daily responsibilities could include cleaning and transforming raw data, developing predictive models, running statistical tests, and generating reports or visualizations to share findings with clients or internal teams. Project scopes often depend on the industry, but collaboration with data engineers, business analysts, and subject matter experts is common to ensure analyses address real-world business challenges. Working with diverse data sets sharpens your ability to adapt your analytical approach and broadens your domain expertise, supporting continuous career development.

What are the key skills and qualifications needed to thrive in the R statistics position, and why are they important?

To thrive as an R Statistics professional, you need a solid understanding of statistical methods, data analysis, and proficiency in R programming, often supported by a degree in statistics, mathematics, or a related field. Familiarity with tools like RStudio, database management systems, and relevant data visualization libraries is highly beneficial, and certifications such as R programming certifications or data analytics courses can enhance employability. Critical thinking, problem-solving, and strong communication skills are essential for interpreting complex data and conveying insights to diverse stakeholders. These skills enable you to derive actionable conclusions from data, support business decision-making, and ensure robust, reproducible analysis processes.

What jobs can I get with R Statistics?

With R Statistics skills, you can pursue roles such as data analyst, data scientist, statistical programmer, or research analyst. These jobs typically require proficiency in data manipulation, statistical modeling, and visualization using R, often alongside knowledge of related tools like SQL or Python.
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R Statistics jobs near you
Infographic showing various R Statistics job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

SAS to Python / R Migration Architect

Ignite IT

Suitland, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

The SAS to Python/R Migration Architect is responsible for end-to-end strategy, design, and governance of large-scale analytical and statistical code migrations from SAS to modern open-source ecosystems (Python and R). This role focuses on assessment, architecture, standards, risk management, and validation, working closely with stakeholders and development teams to ensure accuracy, performance, and regulatory fidelity.

This is a hands-on technical leadership role, not just documentation or oversight.

Key Responsibilities

  • Lead enterprise-scale migrations from SAS (Base SAS, PROC SQL, STAT, ETS, MACRO, etc.) to Python and/or R
  • Perform detailed SAS estate assessments, including:
    • Code inventory and dependency mapping
    • Macro complexity analysis
    • Data access patterns (SAS datasets, DBs, flat files)
    • Statistical method equivalency analysis
  • Define target-state architecture for Python/R analytics platforms (libraries, frameworks, environments)
  • Establish migration patterns and standards, including:
    • SAS PROC → Python/R library mappings
    • Macro-to-function translation strategies
    • Reusable templates and shared components
  • Design validation and reconciliation frameworks to ensure:
    • Statistical equivalence
    • Numeric tolerances
    • Regulatory and audit compliance
  • Guide performance optimization strategies for large datasets
  • Identify automation opportunities (code scanners, translators, test harnesses)
  • Lead technical reviews and approve migrated code
  • Mentor developers and review complex conversions
  • Communicate migration risks, tradeoffs, and timelines to leadership

Requirements

  • 8+ years of advanced analytics or statistical programming experience
  • 5+ years hands-on SAS development (Base SAS, PROC SQL, MACRO, STAT)
  • Proven experience architecting or leading SAS → Python and/or R migrations
  • Deep expertise in:
    • Python (NumPy, Pandas, SciPy, statsmodels, scikit-learn)
    • and/or R (tidyverse, data.table, caret, survival, forecast)
  • Strong understanding of statistical methods parity between SAS and open-source tools
  • Experience with data platforms (SQL databases, cloud storage, data lakes)
  • Familiarity with CI/CD, version control, and testing frameworks for analytics code
Nice to Have
  • Experience in regulated environments (government, healthcare, finance)
  • Prior work modernizing legacy analytics platforms
  • Exposure to cloud analytics stacks (AWS, Azure, GCP)
  • Experience designing automated validation frameworks

Benefits

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Tuition reimbursement
  • Vision insurance