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Internship Remote Statistical Programmer Jobs in Boston, MA

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

Amgen

Data Scientist

Cambridge, MA · On-site +1

$114K - $133K/yr

Apply statistical trending tools to product and method data Apply engineering principles and ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

Moderna

Intern, CMC Development (Summer 2027)

Cambridge, MA · On-site +1

$20 - $60/hr

Summer Interns will have an opportunity to be part of high-performing project teams developing new ... Statistics, or a related field * Strong fundamental scientific and engineering skills for the ...

New

Moderna

Intern, CMC Development (Summer 2027)

Lowell, MA · On-site +1

$20 - $60/hr

Summer Interns will have an opportunity to be part of high-performing project teams developing new ... Statistics, or a related field * Strong fundamental scientific and engineering skills for the ...

New

Moderna

Intern, CMC Development (Summer 2027)

Brockton, MA · On-site +1

$20 - $60/hr

Summer Interns will have an opportunity to be part of high-performing project teams developing new ... Statistics, or a related field * Strong fundamental scientific and engineering skills for the ...

New

3B Staffing LLC

QA Automation Engineer

Boston, MA · Remote

Junior Automation Engineer Location: 100% Remote Onsite Requirements: 100% remote Duration: 6 ... internship experience) * Programming experience in Java or Python (TypeScript a plus)

3B Staffing LLC

QA Automation Engineer

Boston, MA · Remote

Junior Automation Engineer Location: 100% Remote Onsite Requirements: 100% remote Duration: 6 ... internship experience) * Programming experience in Java or Python (TypeScript a plus)

Leidos

Relay Settings Engineer

Framingham, MA · On-site +1

$57K - $104K/yr

Fully remote is only available for mid level candidates with a minimum of three years of relay ... engineering internship. Junior candidates must be able to work a hybrid schedule in either ...

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All JobsStatistical Programmer JobsInternship Remote Statistical Programmer JobsInternship Remote Statistical Programmer Jobs in Boston, MA

Internship Remote Statistical Programmer information

See Boston, MA salary details

$91.8K

$160K

$270.5K

How much do internship remote statistical programmer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for internship remote statistical programmer in Boston, MA is $160,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,800.00 and $173,800.00 per year, depending on experience, location, and employer.

What is a remote statistical programmer internship?

A remote statistical programmer internship is a temporary, entry-level position in which interns work from a remote location to assist with data analysis and statistical programming tasks. Interns typically use programming languages such as SAS, R, or Python to manage and analyze data, often within industries like pharmaceuticals, healthcare, or finance. The role provides hands-on experience with real datasets, supports the work of experienced statisticians or data scientists, and helps interns develop valuable technical and analytical skills. Remote internships allow for flexibility in location and often require strong communication and self-motivation skills.

What types of projects and responsibilities can I expect as a remote statistical programmer intern?

As a remote statistical programming intern, you'll typically assist with data cleaning, analysis, and reporting tasks under the guidance of senior programmers and biostatisticians. You'll often use software like SAS or R to process clinical trial or research data, create summary tables, and support the preparation of statistical deliverables. Collaboration is usually virtual, involving regular meetings, code reviews, and shared documentation. This role provides an opportunity to build foundational programming skills while contributing to real-world research projects, and you'll gain exposure to industry standards in data management and statistical analysis.

What are the key skills and qualifications needed to thrive as an internship remote statistical programmer?

To thrive as an Internship Remote Statistical Programmer, you need a solid background in statistics, programming (especially in SAS, R, or Python), and data analysis, often supported by coursework in statistics or computer science. Familiarity with statistical software, data management systems, and tools like SAS or RStudio is typically required. Attention to detail, problem-solving abilities, and effective remote communication skills help interns stand out in both independent and collaborative tasks. These skills and qualities are crucial for delivering accurate analyses, meeting deadlines, and contributing effectively to data-driven projects in a remote environment.

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

AspectInternship Remote Statistical ProgrammerRemote Data Analyst
Required CredentialsTypically pursuing or recent graduate in biostatistics, statistics, or related fieldOften degree in statistics, data science, or related field; may have certifications in data analysis tools
Work EnvironmentRemote internship, often part-time, supervised by senior statisticiansRemote or hybrid, full-time or part-time, with focus on data interpretation and reporting
Industry UsageCommon in pharmaceutical, biotech, and clinical research companiesUsed across various industries including healthcare, finance, and marketing

The main difference is that an Internship Remote Statistical Programmer is typically an entry-level, supervised role focused on programming tasks in clinical research, while a Remote Data Analyst often handles broader data analysis responsibilities across industries. Internships are usually temporary and aimed at gaining experience, whereas Data Analysts may have more independent responsibilities.

What are popular job titles related to Internship Remote Statistical Programmer jobs in Boston, MA?

For Internship Remote Statistical Programmer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Internship Remote Statistical Programmer jobs in Boston, MA look for?

The top searched job categories for Internship Remote Statistical Programmer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Internship Remote Statistical Programmer jobs?

Cities near Boston, MA with the most Internship Remote Statistical Programmer job openings:

Internship Remote Statistical Programmer jobs near you
Infographic showing various Internship Remote Statistical Programmer job openings in Boston, MA as of August 2026, with employment types broken down into 10% Internship, 62% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $160,018 per year, or $76.9 per hour.

Data Science Intern

FocusKPI Inc.

Boston, MA • Remote

Other

Posted 6 days ago

Job description

Data Science Intern
Statistical Modeling & Marketing Measurement
Remote  |  Internship  |  Full-time  |  3 months
About the Role
We are looking for a curious and analytically minded Data Science Intern to support the development and evaluation of statistical and machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics, validation, and data analysis to real business problems. You will work closely with experienced data scientists, learn how modeling choices affect interpretation and business decisions, and contribute clean, reproducible analytical work.
Responsibilities
  • Support the development and evaluation of models including regression, time-series, and other statistical or machine learning approaches, with attention to predictive performance, stability, and interpretability.
  • Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes.
  • Apply core model-validation techniques such as train/validation/test splits, cross-validation, baseline comparisons, and appropriate performance metrics.
  • Investigate common statistical issues including multicollinearity, overfitting, residual patterns, autocorrelation, heteroskedasticity, and unstable coefficients, with guidance from senior team members.
  • Test and compare reasonable modeling choices such as feature transformations, regularization settings, and model specifications, and summarize how these choices affect model results.
  • Interpret model outputs and connect technical findings to practical marketing or business questions while clearly stating assumptions and limitations.
  • Contribute to reproducible analytical workflows for model training, validation, sensitivity checks, and result comparison.
  • Write clear Python and SQL code and communicate methods, findings, assumptions, and open questions in a structured and understandable way.

Basic Qualifications
  • Strong foundation in statistics and regression: understanding of linear regression, key model assumptions, coefficient interpretation, regularization concepts, and basic statistical inference.
  • Solid quantitative fundamentals in probability, statistics, and linear algebra; familiarity with calculus or optimization concepts is helpful.
  • Working knowledge of Python for data analysis and modeling, including common data-science libraries; basic to intermediate SQL skills for data extraction and transformation.
  • Understanding of model evaluation: training versus validation data, cross-validation, common regression metrics, overfitting, and the importance of out-of-sample performance.
  • Ability to reason through modeling problems: investigate unexpected results, form hypotheses about root causes, test alternatives, and explain conclusions using evidence.
  • Clear communication skills: ability to explain analytical methods, assumptions, results, and limitations to technical teammates and learn from feedback.
  • Currently pursuing a degree in statistics, computer science, data science, machine learning, applied mathematics, econometrics, operations research, or a closely related quantitative field.

Preferred Qualifications
  • Coursework, research, or project experience using regression, time-series analysis, statistical modeling, or machine learning.
  • Exposure to Marketing Mix Modeling (MMM), marketing analytics, attribution, or other measurement problems.
  • Basic understanding of concepts such as adstock, saturation, incremental impact, ROI, or response curves.
  • Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals.
  • Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy, or similar tools.
  • Previous internship, research assistantship, academic project, or independent project involving real-world data is a plus.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

View All FocusKPI Jobs