1

Freelance R Programming Language Jobs in Santa Clara, CA

Clinical Data Manager

Sunnyvale, CA · On-site

$70 - $75/hr

Excellent hands on experience on SAS or R programming language for data review listings/tracker. * Experience with development of data management trackers and dashboards (Discrepancy listings, Clean ...

Revenue Ops Manager

Palo Alto, CA · Remote

$150K - $200K/yr

... Python (Programming Language) R (Programming Language) SAS (Software) SQL (Programming Language) Statistics Tableau (Business Intelligence Software) Cross-Org Skills Customer Centricity ...

Senior Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

Proficiency in programming language such as R, Python and Spark; relationship database languages, such as SQL and Hive; as well as data visualization tools such as Tableau and Databricks Preferred:

Rust Software Engineer

Palo Alto, CA · On-site

$135K - $226K/yr

... programming language * 1+ year experience in designing simple, elegant APIs with a strong emphasis on clarity, scalability, flexibility, versioning, and error handling. Even better, you may have.

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

next page

Showing results 1-20

Freelance R Programming Language information

See Santa Clara, CA salary details

$17

$56

$155

How much do freelance r programming language jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for freelance r programming language in Santa Clara, CA is $56.03, according to ZipRecruiter salary data. Most workers in this role earn between $28.51 and $72.55 per hour, depending on experience, location, and employer.

Are R programmers in demand?

R programmers are in demand in fields such as data analysis, statistics, and research, especially in industries like healthcare, finance, and academia. Their skills in data visualization, statistical modeling, and familiarity with tools like RStudio make them valuable for data-driven decision-making and analytics projects.

What are some common challenges freelance R programmers face when working with clients remotely?

Freelance R programmers often encounter challenges related to communication and project scope when collaborating remotely with clients. Since requirements can change or lack clarity, it's important to establish clear expectations and maintain regular updates through meetings or written summaries. Additionally, managing data privacy and access can be tricky, so freelancers should be prepared to use secure data-sharing tools and clarify ownership of scripts and results. Building strong communication skills and being proactive about project management can help overcome these hurdles and ensure successful client collaborations.

What are the key skills and qualifications needed to thrive as a Freelance R Programmer, and why are they important?

To thrive as a Freelance R Programmer, you need strong statistical analysis, data manipulation, and coding skills in R, often supported by a degree in statistics, computer science, or a related field. Familiarity with RStudio, version control systems like Git, and relevant libraries such as tidyverse and Shiny is typically required. Excellent problem-solving, client communication, and time management skills help you stand out in this role. These abilities ensure you can deliver accurate, timely data solutions that meet client needs in a competitive freelance environment.

What is a freelance R programmer?

A freelance R programmer is a professional who works independently, providing services related to the R programming language on a contract or per-project basis. They typically help organizations or individuals analyze data, build statistical models, visualize results, and develop custom R scripts or packages. Freelance R programmers often work remotely and may serve clients across various industries, including finance, healthcare, academia, and technology. Their flexible arrangements allow them to take on diverse projects, from data cleaning to advanced machine learning tasks.

Is R in high demand?

R programming language skills are in high demand in data analysis, statistics, and data science roles across various industries. Employers seek professionals proficient in R for tasks involving data visualization, statistical modeling, and machine learning, often requiring knowledge of related tools like RStudio and packages such as ggplot2 and dplyr.

Which coding language is best for freelancing?

For freelance R programming language roles, R is the primary language used for data analysis, statistical computing, and visualization tasks. Freelancers often combine R with tools like RStudio and may need knowledge of data manipulation, scripting, and reporting. The best language depends on the specific project requirements, but R is essential for data-focused freelancing in this field.

What is the difference between Freelance R Programming Language vs Data Analyst?

AspectFreelance R Programming LanguageData Analyst
Required skillsProficiency in R, statistical analysis, data visualizationData manipulation, statistical analysis, reporting
Work environmentIndependent, project-based, remote or on-siteTypically in organizations, team-based, office or remote
CertificationsR certifications, data analysis coursesData analysis, business intelligence certifications
Industry usageFreelance projects across various industriesCorporate, finance, healthcare, marketing

Freelance R Programming Language professionals focus on independent projects requiring R skills, while Data Analysts work within organizations analyzing data to inform business decisions. Both roles require statistical knowledge, but their work settings and project types differ.

What jobs can you get with R programming?

With R programming skills, you can pursue roles such as data analyst, data scientist, statistical programmer, or research analyst. These jobs typically involve data analysis, statistical modeling, and visualization, often requiring knowledge of data manipulation packages like dplyr and ggplot2, and may require familiarity with data management tools and statistical concepts.
What are the most commonly searched types of R Programming Language jobs in Santa Clara, CA? The most popular types of R Programming Language jobs in Santa Clara, CA are:
What are popular job titles related to Freelance R Programming Language jobs in Santa Clara, CA? For Freelance R Programming Language jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Freelance R Programming Language jobs in Santa Clara, CA look for? The top searched job categories for Freelance R Programming Language jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Freelance R Programming Language jobs? Cities near Santa Clara, CA with the most Freelance R Programming Language job openings:
Clinical Data Manager

Clinical Data Manager

CYNET SYSTEMS

Sunnyvale, CA • On-site

$70 - $75/hr

Contractor

Posted 6 days ago


Job description

Job Overview:

Pay Range: $70hr - $75hr

Responsibilities:

  • Support clinical data review requirements from Lead data manager.
  • Create customise data review listings for study per specifications from lead data manager.
  • Provide clinical data management support for study operations and analysis groups and lead clinical data manager.
Education:
  • BSc/BA/BE or any bachelor degree from relevant field.
Must:
  • Minimum 3-5 years’ experience in data management role.
  • Clinical data review and listing experience (Preferably Medrio, Medidata Rave).
  • Excellent understanding of data administration and management functions (collection, analysis, data review process, etc.).
  • Excellent hands on experience on SAS or R programming language for data review listings/tracker.
  • Experience with development of data management trackers and dashboards (Discrepancy listings, Clean patient tracker,
  • Site trends, study metrics etc.).
  • Ability of working with multiple teams on multiple projects simultaneously.
Desired:
  • Understand CRF design and interpretation of protocol/CRF requirements to efficient EDC design.
  • Excellent communication skills.
  • Proficient in MS Office (Excel, PowerPoint, Word, etc.).
  • Knowledge of Clinical affairs terminology.
  • Knowledge of Good Clinical Practices, Clinical research, Clinical trial process and related regulatory requirements and terminology.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media