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Data Science R Jobs in Rhode Island (NOW HIRING)

micro1 AI

Biostatistician

Providence, RI · Remote

$60 - $100/hr

Source, construct, and curate authentic datasets including trial data, patient records, and ... Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological ...

micro1 AI

Director of Biostatistics

Providence, RI · Remote

$60 - $100/hr

Source, construct, and curate authentic datasets including trial data, patient records, and ... Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological ...

Brown University

Laboratory Manager

Providence, RI · On-site

Experience with data analysis and visualization software (e.g. R, Matlab, Python) is preferred. Job ... Scientific writing and reporting. * Problem-solving and troubleshooting skills in a laboratory ...

PPL

System Operator I-Gas Control

Cumberland, RI · On-site

This position utilizes the Gas Control Supervisory Control and Data Acquisition (SCADA) system and ... Associate's degree in engineering, science, mathematics or business is preferred. * Working ...

Ipsen

Thought Leader Liaison

Providence, RI · On-site

TLL engagements will gain market insights, assess impact of new and emerging clinical data in the ... The TLL must deliver clear, compelling brand messaging and scientific content to diverse audiences ...

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Showing results 41-54

All JobsData Science R JobsData Science R Jobs in Rhode Island

Data Science R information

See Rhode Island salary details

$36.7K

$120.2K

$192.4K

How much do data science r jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science r in Rhode Island is $120,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

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

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are popular job titles related to Data Science R jobs in Rhode Island?

For Data Science R jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Data Science R jobs in Rhode Island look for?

The top searched job categories for Data Science R jobs in Rhode Island are:

Data Science R jobs near you
Infographic showing various Data Science R job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,199 per year, or $57.8 per hour.

Biostatistician

micro1 AI

Providence, RI • Remote

$60 - $100/hr

Part-time

Posted 13 days ago

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as clinical trial analysis, regulatory submission reviews, and observational study assessments.
  2. Source, construct, and curate authentic datasets including trial data, patient records, and protocol documents for task use.
  3. Define correct methodological solutions and defensible clinical interpretations for each evaluation scenario.
  4. Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning.
  5. Ensure all tasks reflect the complexity and depth of real-world biostatistics practice, avoiding simplified or textbook-style examples.
  6. Collaborate with project stakeholders to ensure deliverables align with regulatory and scientific standards.


Preferred Qualifications

  1. MS or PhD in biostatistics, statistics, or epidemiology.
  2. 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts.
  3. Demonstrated command of clinical study design, regulatory documentation, and observational research methodologies.
  4. Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets.
  5. Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.
  6. Experience preparing submission-ready deliverables for regulatory agencies (e.g., FDA, EMA) is a plus.
  7. Excellent written communication skills and ability to author detailed grading rubrics and technical documentation.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

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