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R Statistics Jobs (NOW HIRING)

Sr SAS & R Programmer onsite in the Chesterbrook, PA area 3 days/week SUMMARY The contract Senior Statistical Programmer is a member of the Biometrics Department within the Research and Development ...

Statistician 1

Chicago, IL · On-site

$32 - $46.44/hr

Required Job Qualifications: • Master's degree in Biostatistics, Statistics or closely related ... R-studio programming. Proficiency with Microsoft Office (Word, Excel, Power Point). • Clear and ...

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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 Jul 10, 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 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 is an R Statistics job?

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.

More about R Statistics jobs
What cities are hiring for R Statistics jobs? Cities with the most R Statistics job openings:
What are the most commonly searched types of R Statistics jobs? The most popular types of R Statistics jobs are:
What states have the most R Statistics jobs? States with the most job openings for R Statistics jobs include:
Infographic showing various R Statistics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Study Design Statistician (Remote)

Study Design Statistician (Remote)

MMS Holdings Inc.

Canton, MI • On-site, Remote

Full-time

Re-posted 26 days ago


Job description

Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
As part of our Strategic Statistical Services Arm, this is a full-time role with emphasis on being an internal and external SME for clinical trial design, together with providing consultation to advise clients on a range of broader statistical issues, and will have an internal job title of Strategic Statistician.
Job Description:
Our experienced statisticians and programmers develop intellectual property and assets to support the design and analysis of clinical trials, precision medicine and real-world data analytics. We address the emerging analytics needs of the Industry with our biostatistics services, bespoke algorithms and unique, state of the art, proprietary, cloud-based trial simulation software KerusCloud. Working alongside innovative statisticians you will be responsible for leading the full life-cycle of KerusCloud support and statistical services, from:
  • Assisting customers with their study design with a particular focus on simulation with KerusCloud to ensure they are aligned with the study objectives.
  • Preparation of study protocols and development of Statistical Analysis Plans and Statistical Analysis Reports.
  • Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality.
  • Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables.
  • Maintain current knowledge of relevant research techniques such as modelling, simulation and experimental design and participate in continuous professional development activity.
  • Support pre-sales discussions to understand and identify client needs, then contribute to technical solutions and resource/ cost estimates.
  • Collaborate with the Product Development team defining key features and statistical aspects of KerusCloud.
  • Provide input and support to Marketing of KerusCloud, including demonstrations to clients, white papers, etc.

Requirements:
  • Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters or PhD preferred.
  • 5-7 years of experience in the application of medical statistics (pharma, CRO, academic).
  • Willingness to engage with clients to understand and research problems and provide creative, business-orientated solutions.
  • Experience in delivering customer projects to high quality standards.
  • Experience in SAS and/ or R statistical software packages.
  • Experience in study design and protocol and report-writing preferred.
  • Experience of modelling and simulation techniques to explore complex study designs preferred.
  • Experience of Bayesian approaches to design and analysis of clinical data preferred.
  • Experience of early-phase drug development processes including innovative/ adaptive study design preferred.