ZipRecruiter

Log In

1

Data Science Fall Internship Jobs in Boston, MA (NOW HIRING)

Iterative Health

Staff Data Scientist

Cambridge, MA

$200K - $325K/yr

This role sits at the intersection of data science, product strategy, and ML: you'll lay the ... Evaluate where we should build, where we should partner, and where existing approaches fall short

Iterative Health

Staff Data Scientist

Cambridge, MA · On-site

$200K - $325K/yr

This role sits at the intersection of data science, product strategy, and ML: you'll lay the ... Evaluate where we should build, where we should partner, and where existing approaches fall short

Wit

Adjunct Instructor - Building Sciences

Boston, MA · On-site

$1.3K/wk

Building Sciences Fall Adjunct Faculty Position The School of Architecture and Design (SoAD) is ... Architecture and Design, Computing and Data Science, Engineering, Management, and Sciences and ...

next page

Showing results 1-20

All JobsData Science Fall JobsData Science Fall Internship JobsData Science Fall Internship Jobs in Boston, MA

Data Science Fall Internship information

See Boston, MA salary details

$13

$24

$45

How much do data science fall internship jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data science fall internship in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science Fall Internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

What are the key skills and qualifications needed to thrive as a Data Science Fall Intern, and why are they important?

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is a Data Science Fall Internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Boston, MA? For Data Science Fall Internship jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Science Fall Internship jobs in Boston, MA look for? The top searched job categories for Data Science Fall Internship jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Science Fall Internship jobs? Cities near Boston, MA with the most Data Science Fall Internship job openings:
Data Science Fall Internship jobs near you
Infographic showing various Data Science Fall Internship job openings in Boston, MA as of July 2026, with employment types broken down into 11% Internship, 77% Full Time, 6% Part Time, and 6% Temporary. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $50,854 per year, or $24.4 per hour.

Staff Data Scientist

Iterative Health

Cambridge, MA

$200K - $325K/yr

Full-time

Re-posted 21 days ago

Job description

Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes.

We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide.

About the Role

Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence.

We're looking for a Staff Data Scientist to be the person who understands our data deeply enough to know what's possible and curious enough to prove it. We have a truly unique data set within the industry, connecting clinical data (emr, endoscopic video, etc…) to trial data across 80+ trial sites. We're looking for someone who wants to dig deeply into this data - to understand its structure, its gaps, what it can tell us - and connect that understanding to real outcomes for sites and patients. The landscape is evolving rapidly, and the right person will have a point of view on how to apply new capabilities to our specific data and problems as they emerge.You'll work hands-on with the data, structure experiments, evaluate what's modelable, and directly influence what we build and how. This role sits at the intersection of data science, product strategy, and ML: you'll lay the foundation for our predictive capabilities and shape what that function becomes.

This is an opportunity for someone who wants to be part of a small, fast-moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes.

Responsibilities

  • Work with clinical, video, and clinical trial operational data to understand what's there, what's meaningful, and how we can use it to drive a more efficient clinical trial system
  • Design and run experiments that determine what's worth building
  • Stay close to the evolving ML and model landscape and bring a point of view on how new capabilities apply to our data and problems
  • Define the path from raw data to product and operationalization: what to model, how to evaluate it, and when it's ready to ship
  • Partner with product and engineering to translate findings into concrete product decisions
  • Identify opportunities where our data creates unique predictive advantages
  • Evaluate where we should build, where we should partner, and where existing approaches fall short
  • Help shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, what rigor looks like in practice

What We're Looking For

Required Qualifications

  • 5+ years of experience in data science, applied ML, or quantitative research, with significant time spent hands-on with data
  • Experience with healthcare data, clinical research, or life sciences
  • A deep curiosity to understand data and connect it to the real world
  • Deep experience designing and running experiments: you know how to structure a question, test it honestly, and draw conclusions that hold up
  • Strong statistical foundations and the judgment to know when a result is meaningful versus interesting
  • Fluent in Python and SQL, comfortable working across the data stack from exploratory analysis through to production-ready pipelines
  • Experience working across data science, product, and engineering: you can influence what gets built, not just analyze what exists
  • Have worked with complex, messy, real-world data and know how to make it useful without pretending it's clean
  • Knowledgeable about ML capabilities and frameworks, with the judgment to know when something is genuinely applicable versus hype
  • Can communicate findings clearly to technical and non-technical audiences, and make a persuasive case for what to build next

Preferred Qualifications

  • Experience working at growth stage startups (strongly preferred)
  • Experience with medical imaging or video data
  • Familiarity with clinical trial operations, disease classification, or patient identification problems
  • Experience building or defining the roadmap for an ML function from early stages
    • A track record of data science work that directly changed product direction
New York pay range
$200,000—$325,000 USD

At Iterative Health, we're actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.