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Remote Statistical Programmer Jobs in Woonsocket, RI

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ... You are experienced with digital signal processing (DSP) and statistics and care about using the ...

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · Remote

$140K - $190K/yr

... statistical modeling. Familiarity with NLP and large language models is important. * Analytical ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ... You are experienced with digital signal processing (DSP) and statistics and care about using the ...

Tripadvisor

Senior CRM Specialist

Boston, MA · Remote

You will serve as the critical bridge between our CRM Operations, Engineering, and brand marketing ... Remote East Coast, United States This role is a remote position in the US. Occasional travel to ...

Verisk

Account Executive

Boston, MA · On-site +1

You should be intellectually curious and able to learn the key scientific tenants and statistics ... Open to fully remote position for the right qualified candidate

Dlapiper

Data Scientist

Boston, MA · On-site +1

... and software engineering. Identifies patterns and looks for opportunities for optimization ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

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Showing results 41-60

All JobsStatistical Programmer JobsRemote Statistical Programmer JobsRemote Statistical Programmer Jobs in Woonsocket, RI

Remote Statistical Programmer information

See Woonsocket, RI salary details

$81K

$141.1K

$238.6K

How much do remote statistical programmer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote statistical programmer in Woonsocket, RI is $141,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,800.00 and $153,300.00 per year, depending on experience, location, and employer.

What is a remote statistical programmer?

A remote statistical programmer is a professional who uses statistical software and programming languages to analyze data, typically for research, clinical trials, or business insights, while working from a location outside of a traditional office environment. They are responsible for managing, cleaning, and organizing large datasets, and for developing programs that generate statistical analyses and reports. Remote statistical programmers often collaborate with statisticians, data scientists, and project teams using online communication tools. This role requires strong skills in programming languages such as SAS, R, or Python, and attention to detail when handling complex data. Working remotely provides flexibility but also requires good time management and communication skills.

What does a remote statistical programmer do?

As a remote statistical programmer, you use programming techniques to produce useful data sets from raw data. In this role, you may evaluate the programming needs of each project, use validation techniques to ensure the accuracy of all data sets your programs make, and manage both a database and the operating environment of your software. Remote statistical programmers often work from home and collaborate with other programmers through video calls, voice chat, or remote office software. This job is also known as SAS, which stands for statistical analysis system programming, and companies may advertise under either title.

What are the key skills and qualifications needed to thrive as a remote statistical programmer, and why are they important?

To thrive as a Remote Statistical Programmer, you need strong proficiency in statistics, data analysis, and programming languages like SAS or R, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software, clinical trial data standards (such as CDISC), and regulatory submission requirements is often necessary. Attention to detail, problem-solving ability, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies ensure high-quality data analysis, regulatory compliance, and seamless teamwork in a remote environment.

How do remote statistical programmers typically collaborate with cross-functional teams despite working remotely?

Remote Statistical Programmers often work closely with biostatisticians, data managers, and clinical research associates using collaborative tools such as video conferencing, project management platforms, and secure data-sharing systems. Regular virtual meetings are scheduled to discuss project progress, address data or programming issues, and align on analysis plans. Clear documentation and version control are essential to ensure seamless teamwork and maintain data integrity. Effective communication skills and proactive updates help bridge the physical distance and contribute to successful project outcomes.

What is the difference between Remote Statistical Programmer vs Clinical Data Analyst?

AspectRemote Statistical ProgrammerClinical Data Analyst
Required CredentialsBachelor's/Master's in Biostatistics, Statistics, or related field; programming skills in SAS, R, or PythonBachelor's/Master's in Statistics, Data Science, or related; strong analytical and statistical skills
Work EnvironmentRemote or office-based, collaborating with biostatistics teams in clinical trialsRemote or on-site, analyzing clinical data to support study outcomes
Employer & Industry UsagePharmaceuticals, biotech, CROs, clinical research organizationsPharmaceuticals, healthcare, research institutions, CROs

Remote Statistical Programmers focus on programming and data management for clinical trials, while Clinical Data Analysts interpret and analyze clinical data. Both roles require strong statistical skills and often work in similar environments within the healthcare and pharmaceutical industries, but their core responsibilities differ.

More about Remote Statistical Programmer jobs

What job categories do people searching Remote Statistical Programmer jobs in Woonsocket, RI look for?

The top searched job categories for Remote Statistical Programmer jobs in Woonsocket, RI are:

Remote Statistical Programmer jobs near you
Infographic showing various Remote Statistical Programmer job openings in Woonsocket, RI as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $141,138 per year, or $67.9 per hour.

Algorithm Engineer

Beacon Biosignals

Boston, MA • On-site, Remote

$150K - $170K/yr

Full-time

PTO

Re-posted 6 days ago

Key responsibilities

  • Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation.

  • Select, implement, and develop the most appropriate method for each problem, knowing when to apply deep learning techniques and when other methods are more effective.

  • Enhance internal deep learning and machine learning tools to improve team efficiency, introduce new model architectures and algorithmic techniques, and refine the codebase for reusability to enable rapid experimentation.

Job description

Beacon Biosignals is seeking a Machine Learning engineer! 

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data scientists, neuroscientists, engineers, and clinicians to scope, build, deploy, and maintain the machine and deep learning models that analyze brain and biosignal data for advancing sleep, neurological, and psychiatric therapy development.

At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and-most of all-a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City and Paris.

What success looks like

  • Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation.
  • Select, implement, and develop the most appropriate method for each problem, knowing when to apply deep learning techniques and when other methods are more effective.
  • Enhance our internal deep learning and machine learning tools to boost team efficiency, introduce new model architectures and algorithmic techniques, and refine the codebase to encourage reusability where needed to enable rapid experimentation.
  • Spread and improve our best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested, including unit tests, comprehensive documentation, CI, and non-regression testing.
  • Present results to key stakeholders and assist them in utilizing algorithms for client engagement.
  • Support the client-facing projects to understand and shape the impact Beacon algorithms have for our customers, both for existing deployed algorithms, and future algorithm development.

What you will bring

  • You have more than 4 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields, with a proven track record of bringing algorithms into production.
  • You are experienced with digital signal processing (DSP) and statistics and care about using the right tool for the job, which in many cases might not be machine learning or deep learning.
  • You are proficient in using PyTorch (preferred) or other deep learning frameworks for training, developing, and deploying deep learning models.
  • You are familiar with latest Deep Learning advances (Transformer/ViT, large scale modeling, large model training, ...)
  • You follow and adopt best practices in software and ML engineering, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking.
  • You are familiar with biosignals, medical imaging data, or large time-series datasets,  or are enthusiastic about learning more in the domain.
  • You thrive in a team environment, recognizing that collaboration, open communication, and continuous feedback are essential for collective success.
  • You are able to distill, discuss, and present complex technical topics in a way that is appropriate for the audience at hand, both internally and externally.
  • You are excited to participate in the entire algorithm development lifecycle, which spans scoping, data wrangling, algorithm development/experimentation, formal validation, quality/regulatory documentation, production deployment, and working with clients who might benefit from these algorithms.

The US-based salary range for this role is $150,000 - $170,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location. The base salary is one component of the total compensation package, which includes equity, PTO and other benefits.

At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.

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