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Data Science Research Intern Jobs in Roxbury Crossing, MA

Research and development areas encompass oncology, cardiovascular and metabolic disorders ... Data Science * Data Visualization * Digital Fluency * Econometric Models * Organizing * Process ...

New

Data Scientist

Boston, MA

$160K - $180K/yr

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms. We are building the next ...

To that end, there are three major components with which an intern should expect to engage ... data science problems Navigating the full data science lifecycle: research and exploration ...

New

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... Research and development areas encompass oncology, cardiovascular and metabolic disorders ...

To that end, there are three major components with which an intern should expect to engage ... data science problems Navigating the full data science lifecycle: research and exploration ...

New

As an intern, your contributions will be instrumental in helping our organization grow and succeed ... This internship offers a unique opportunity to further explore higher education, research, and data ...

Senior Scientist, Data Science - Hybrid

Boston, MA ยท On-site

$106K - $132K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree or equivalent related work or military experience * 2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical ...

Associate Director, Data Science

Cambridge, MA ยท Hybrid

$160K - $297K/yr

  • Medical

  • Life

  • Retirement

  • PTO

This role reports to the Head of Data Science in the PKS M&S team within Translational Medicine in Biomedical Research. Key responsibilities: * Shape and advance AI-driven MIDD by integrating ...

Research Scientist

Boston, MA ยท On-site

$98K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Partner with Data Science to advance Folia's Home Reported Outcomes methodology across the design and execution of research programs, ensuring data collection faithfully captures the patient ...

Showing results 41-60

Data Science Research Intern information

See Roxbury Crossing, MA salary details

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How much do data science research intern jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data science research intern in Roxbury Crossing, MA is $24.43, 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.

How do data science research interns typically collaborate with full-time data scientists and engineering teams?

Data Science Research Interns often work closely with full-time data scientists to support ongoing projects, contribute to research discussions, and assist in developing analytical models. They may also interact with engineering teams to understand data pipelines, verify data integrity, and help implement prototypes into production environments. Regular meetings, code reviews, and paired problem-solving sessions are common, providing interns with valuable mentorship and exposure to real-world workflows. This collaborative environment helps interns build both technical and communication skills while making meaningful contributions to the team's goals.

What does a data science research intern do?

A Data Science Research Intern works on analyzing data, building predictive models, and supporting research projects under the guidance of experienced data scientists. Their tasks often include cleaning and visualizing data, implementing machine learning algorithms, and evaluating model performance. Interns may also help with literature reviews, prototyping new solutions, and presenting findings to the team. This role provides hands-on experience with real-world datasets and the opportunity to learn industry-standard tools and techniques.

What skills and qualifications are needed to thrive as a data science research intern?

To thrive as a Data Science Research Intern, you need a solid grounding in statistics, programming (typically Python or R), and data analysis, usually backed by coursework or a degree in a quantitative field. Familiarity with tools like Jupyter Notebooks, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems (e.g., Git) is commonly expected. Strong problem-solving abilities, curiosity, and effective communication make candidates stand out by enabling them to tackle complex problems and share insights clearly. These skills are essential for contributing meaningful research, collaborating with team members, and translating data findings into actionable results.

What are the most commonly searched types of Data Science Research jobs in Roxbury Crossing, MA?

The most popular types of Data Science Research jobs in Roxbury Crossing, MA are:

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

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The top searched job categories for Data Science Research Intern jobs in Roxbury Crossing, MA are:

Infographic showing various Data Science Research Intern job openings in Roxbury Crossing, MA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $50,818 per year, or $24.4 per hour.

Principal Scientist Data Science

Socket.dev

Cambridge, MA โ€ข On-site

$117 - $201/hr

Other

Posted 3 days ago

New


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Barcelona, Spain, Cambridge, Massachusetts, United States of America, Hyderabad, Andhra Pradesh, India, Madrid, Spain, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

J&J Innovative Medicine โ€“ Data, Data Science, and AI - Global Development (DDSAI GD) is recruiting a Principal Scientist. The ideal candidate will leverage, adapt, and extend machine learning (ML), optimization techniques, and GenAI techniques to create computational pipelines supporting global clinical operations including enrollment forecasting, cost estimation and optimization, and country/site selection.

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, neuroscience, and infectious disease. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market โ€“ from patients to practitioners and from clinics to hospitals. To learn more about J&J Innovative Medicine, visit https://www.jnj.com/innovative-medicine

Key responsibilities:
  • Conceive, develop, and implement ML, multi-objective optimization, GenAI solutions to support clinical trial operations.
  • Leverage operational, RWD, and cost data to build ML predictive models and optimization engines to 1) predict outcomes of interest, 2) highlight tradeoffs between competing objectives, 3) recommend optimal operational scenarios, and 4) generate actionable insights, enabling early intervention and risk management.
  • Adapt large language models (LLMs) for tailored information extraction and to create solutions including
    • conducting comparative analytics on clinical trial protocols and trial similarity assessment,
    • clinical trial data harmonization and standardization,
    • schedule of activity optimization, and
    • eligibility criteria evaluation,
  • Stochastic enrollment simulations to forecast operational and patient journey outcomes including enrollment and study completion.
  • Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.
  • Coaches and trains junior colleagues in techniques, processes, and responsibilities.
Required qualifications:
  • A Ph.D. degree in a quantitative discipline (e.g., computer science, electrical and computer engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or similar),
  • 5+ years of industry experience delivering on data science projects using ML predictive modeling, multi-objective optimization, natural language processing, and GenAI.
  • Hands-on experience with multi-modal ML predictive modeling and stochastic simulations for time-series forecasting.
  • Experience building multi-objective optimization engines to navigate complex trade-offs using evolutionary algorithms, reinforcement learning, or mixed-integer linear programming.
  • Experience with GenAI and clinical LLMs for document parsing and clinical concept disambiguation and harmonization.
  • Proficient in MLOps practices and tools (MLflow, Kedro); Git usage, CI/CD stacks (Jenkins, GitLab) DevOps tools.
  • Proficiency with programming languages Python and SQL,
  • Experience with python LLM tools (e.g., DSPy, LangChain), optimization tools (e.g., pymoo) and ML tools (e.g., Scikit-learn, XGBoost, Optuna, PyMc),
  • Demonstrated experience and familiarity with clinical operational data, real world data, electronic health records and claims, and financial data.
Preferred qualifications:
  • Prior experience in a data science AI/ML role in healthcare, MedTech, and pharmaceutical industries.
  • Hand-on experience utilizing clinical trial protocols, registry, cost data, CTMS, EDC and/or EHR to build ML models for estimating operational outcomes or RWE outcomes.
Required Skills: Preferred Skills:
  • Advanced Analytics
  • Coaching
  • Critical Thinking
  • Data Analysis
  • Data Privacy Standards
  • Data Quality
  • Data Reporting
  • Data Savvy
  • Data Science
  • Data Visualization
  • Digital Fluency
  • Econometric Models
  • Organizing
  • Process Improvements
  • Strategic Thinking
  • Technical Credibility
  • Workflow Analysis
The anticipated base pay range for this position is :

$117,000.00 - $201,250.00

Additional Description for Pay Transparency:
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