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Remote R Programming Jobs in Ambler, PA (NOW HIRING)

C.A.R.E. values, which serve as our daily compass: * Urgency : We move with speed because our ... Partnering closely with Engineering, Design, and cross-functional stakeholders, the Product Manager ...

Product Manager

Doylestown, PA · On-site +1

$150K/yr

C.A.R.E. values, which serve as our daily compass: * Urgency : We move with speed because our ... Partnering closely with Engineering, Design, and cross-functional stakeholders, the Product Manager ...

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological ...

Showing results 21-40

Remote R Programming information

See Ambler, PA salary details

$76.9K

$119.2K

$145.2K

How much do remote r programming jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote r programming in Ambler, PA is $119,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $134,100.00 per year, depending on experience, location, and employer.

What does a remote R programmer do?

Remote R Programmers often work on projects involving data cleaning, statistical modeling, and creating data visualizations for business or scientific insights. They may be responsible for developing automated data workflows, building predictive models, or generating reproducible reports using R Markdown or Shiny dashboards. Additionally, remote work usually requires frequent collaboration with data scientists, analysts, or cross-functional teams via virtual meetings and project management platforms. This role allows you to contribute to diverse industries, ranging from healthcare to finance, and offers opportunities to continuously expand your technical expertise.

What is a remote R programming?

A Remote R Programming job involves using the R programming language for data analysis, statistical modeling, and visualization while working from a remote location. Professionals in this role may work in fields such as data science, finance, healthcare, or research. Tasks often include data cleaning, building predictive models, and generating reports using R packages like ggplot2, dplyr, and tidymodels. Remote R programmers typically collaborate with teams through online communication tools and version control systems like Git. This role requires strong analytical skills and the ability to work independently while delivering data-driven insights.

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

To thrive as a Remote R Programmer, you need strong proficiency in R programming, data analysis, and statistics, typically supported by a degree in a quantitative field such as computer science, statistics, or data science. Familiarity with version control systems like Git, data visualization libraries (e.g., ggplot2), and experience with cloud-based collaboration tools is highly valued. Excellent communication skills, self-motivation, and the ability to work independently are important soft skills for remote success. These competencies ensure that you can efficiently deliver high-quality analytical solutions and collaborate with distributed teams.

What are popular job titles related to Remote R Programming jobs in Ambler, PA?

For Remote R Programming jobs in Ambler, PA, the most frequently searched job titles are:

What cities near Ambler, PA are hiring for Remote R Programming jobs?

Cities near Ambler, PA with the most Remote R Programming job openings:

Infographic showing various Remote R Programming job openings in Ambler, PA as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $119,224 per year, or $57.3 per hour.

Quantitative Research Analyst - Remote

Stevens Capital Management LP

Radnor, PA • On-site, Remote

$150K - $300K/yr

Full-time

Medical, Dental, Retirement

Re-posted 23 days ago


Job description

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.
Primary Responsibilities:
  • Utilize your analytical and quantitative skills, market knowledge and intuition to develop and implement automated statistical trading models.
  • Participate in all aspects of research and trading model development, including generating research ideas, building and analyzing data sets, conducting statistical data analysis and implementing quantitative production trading models.

Requirements:
  • A bachelors or advanced degree in a field providing a background in advanced statistical analysis of large data sets (includes, but is not limited to, economics, finance, statistics, mathematics or computer science).
  • Programming experience, ideally including R, C++ and/or Python.
  • Strong working knowledge of regression, time series analysis and other statistical techniques.
  • Experience building, organizing and analyzing large data sets is preferred.
  • The ability to comprehend and synthesize academic literature in finance, economics and statistics.
  • Strong financial market interest.
  • The ability to simplify and effectively communicate complex concepts.

The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.