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Data Science Intern Jobs in Worcester, MA (NOW HIRING)

... data science, analytics, and predictive modeling. The successful candidate will provide operational and financial insights into our logistics, procurement, forecasting, inventory management, and ...

Principal Data Scientist

Acton, MA · On-site

$180 - $260/hr

* Define and evolve analytical methodologies, standards, and best practices across the Data Science team and broader Enterprise Data & AI organization * Shape the analytical roadmap and prioritize ...

Posted today

Bachelor's degree in a quantitative field (e.g., Computer Science, Data Science, Information Systems, Engineering) with 4-6 years of handson experience * Experience supporting Power BI or similar BI ...

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Data Science Intern information

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How much do data science intern jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data science intern in Worcester, MA is $22.46, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.47 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Worcester, MA?

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For Data Science Intern jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Data Science Intern jobs in Worcester, MA look for?

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What cities near Worcester, MA are hiring for Data Science Intern jobs?

Cities near Worcester, MA with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,707 per year, or $22.5 per hour.

Associate Director, CMC Data Science

Replimune Group

Framingham, MA • On-site

$160 - $207.50/hr

Other

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

Overview

Replimune's mission is to revolutionize cancer treatment with therapies designed to activate a powerful and durable full-body anti-tumor response, boldly transforming cancer care because patients' lives depend on it.

At Replimune, we live by our values:

United: We Collaborate for a Common Goal.

Audacious: We Are Bold.

Dedicated: We Give Our Full Commitment.

Candid: We Are Honest With Each Other.

People are at the center of everything we do, and when it comes to our employees, we make it personal. With a deep sense of purpose, a strong and evolving culture, a competitive and forward-looking total rewards program, everyone at Replimune has a unique opportunity to impact on the lives of patients, caregivers and themselves.

Join us, as we reshape the future.

Summary of Job Description:

The Associate Director of CMC Data Science will work with cross-functional teams while applying the appropriate science-based techniques to:

  • support / creation of cGMP process monitoring capabilities

  • design statistically sound lab-based experiments

  • solve operations and business problems

  • support integration AI into CMC workflows in a compliant manner

  • manage the CMC Data Science team

This position is based in our Framingham location and typically has a 5-day on-site expectation.

Key Responsibilities:
  • CMC Statistical Lead and point of contact for statistical analysis requests across the CMC organizations

  • Provide technical expertise and support to serve as an authority in GMP process monitoring (CPV) and key contributor to commercial annual product reports.

  • Working with IT, serve as a team leader / project lead for the creation of data repository for all CMC data (e.g. electronic data warehouse)

  • Identify data flow issues working with end customers to understand needs and deliver short term and long-term solutions to help scientist/engineers/managers complete their deliverables in an agile manner

  • Working with site / group leaders create tools to better visualize potential risks and issues to critical CMC workflows

  • Work with cross functional customers to embed AI-enabled CMC business processes into existing workflows to improve efficiency, decision-making, and innovation

  • Create / advise on DOEs to be used within lab-based experiments supporting both drug substance and drug product production.

  • Drive continuous improvement in our cGMP process steps by identifying process improvements

  • Actively contribute to cross functional teams to achieve production site and company goals in support of commercial production readiness

  • Manage the members of the data science group to perform similar key responsibilities

  • Ensure that all data science team members comply with the data governance strategy for operations to better enable data consumers to find, access, and use data

Other Responsibilities:
  • Practices and promotes safe work habits and adheres to safety procedures and guidelines.

  • Provide technical representation during internal and external audits.

  • Keeps up to date with current technologies and trends in biologics manufacturing operations and CMC data trending / warehousing / visualization tools and applications.

  • Additional duties and responsibilities as required

Educational Requirements:
  • Bachelor's degree in applicable field with advanced degree preferred

Experience and Skill Requirement:
  • Minimum of 4 year working in data science role, preferably in support of biologics CMC.

  • Expert in statistical analysis, predictive modelling, and data visualization tools

  • Experience with at least one data management system (data lake, data warehouse, or data lake house)

  • Experience with ML/AI integration into CMC workflow(s)

  • Demonstrated ability to work in cross-functional teams across the business.

  • Strong organizational skills and attention to detail.

  • Experience as a people manager

    Excellent written and oral communication skills and strong team player

Salary Range

Replimune is committed to fair and equitable compensation practices, and we strive to provide employees with total compensation packages that are market competitive. For this role, the anticipated base pay range is $160k-$207,500The exact base pay offered for this role will depend on various factors, including but not limited to the selected candidate’s unique set of qualifications, skills, and experience. Our current organizational needs also play a part in determining your final offer.

At Replimune, base pay is only one part of your total compensation package. The selected candidate will be eligible for an annual performance incentive bonus, new hire equity, and ongoing performance-based equity. Replimune also offers various benefits offerings, including, but not limited to, medical, dental, and vision insurance, 401k match, flexible time off, and a number of paid holidays including year-end shutdown.

About Replimune

Replimune Group, Inc., headquartered in Woburn, MA, was founded in 2015 with the mission to transform cancer treatment by pioneering the development of a novel portfolio of oncolytic immunotherapies. Replimune's proprietary RPx platform is based on a potent HSV-1 backbone intended to maximize immunogenic cell death and the induction of a systemic anti-tumor immune response. The RPx platform is designed to have a unique dual local and systemic activity consisting of direct selective virus-mediated killing of the tumor resulting in the release of tumor derived antigens and altering of the tumor microenvironment to ignite a strong and durable systemic response. The RPx product candidates are expected to be synergistic with most established and experimental cancer treatment modalities, leading to the versatility to be developed alone or combined with a variety of other treatment options. For more information, please visit www.replimune.com.

We are an Equal Opportunity Employer.

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