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Data Science Research Intern Jobs in Roxbury Crossing, MA

Working closely with IBM Research scientists and academic collaborators, the intern will design, implement, and evaluate adaptive information-control mechanisms within the Finn/Paver agent framework ...

Working closely with IBM Research scientists and academic collaborators, the intern will design, implement, and evaluate adaptive information-control mechanisms within the Finn/Paver agent framework ...

Data Scientist, Data Science

Waltham, MA · On-site

$103K - $121K/yr

... with research, implementation, and delivery of data products that support the work of the New ... Qualifications Required * Bachelor's degree in Data Science, Computer Science, Statistics ...

Data Scientist, Data Science

Waltham, MA · Hybrid

$103K - $121K/yr

... with research, implementation, and delivery of data products that support the work of the New ... Qualifications Required * Bachelor's degree in Data Science, Computer Science, Statistics ...

Drive prioritization of investments across research, experimentation, and production AI ... Translate customer needs into data science opportunities that improve business outcomes. Establish ...

Research Scientist

Boston, MA · On-site

$98K - $125K/yr

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 ...

Drive prioritization of investments across research, experimentation, and production AI ... Translate customer needs into data science opportunities that improve business outcomes. Establish ...

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Data Science Research Intern information

See Roxbury Crossing, MA salary details

$13

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

As of Sep 7, 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.

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.

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 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, R&D Data, Data Science & Artificial Intelligence - Immunology

6084-Janssen Research & Development, LLC Legal Entity

Cambridge, MA • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


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 SciencesJob Sub Function: Data ScienceJob Category: Scientific/TechnologyJob Locations
  • Cambridge, Massachusetts, United States of America
  • Raritan, New Jersey, United States of America
  • San Diego, California, United States of America
  • Spring House, Pennsylvania, United States of America
  • Titusville, New Jersey, United States of America
Job Description

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine

Position Summary

The Principal Scientist will be instrumental in contributing to the design, evaluation, and execution of Data Science, Digital Health & AI (DDSAI) strategies in alignment with Immunology Therapeutic Area (IMM TA) priorities and objectives. They will partner with DDSAI colleagues and IMM TA stakeholders to identify, prioritize, and advance data science, digital health, AI, and technology-enabled opportunities across the portfolio. This role helps translate emerging capabilities into practical solutions that improve decision making, research execution, and development outcomes. To successfully meet these objectives, this individual will work closely with clinical project teams and functional partners across Translational Science, Translational Medicine, Discovery, Late Development, Market Access, Medical Affairs, Data Platforms, Insights & Analytics, and other relevant functions.

Responsibilities
  • Contribute scientific and strategic input to Immunology R&D DDSAI priorities spanning individual projects, portfolio initiatives, and collaborations with internal and external partners.
  • Partner with DDSAI colleagues and Therapeutic Area teams to define, evaluate, and execute high-impact data science, digital health, AI, and analytics initiatives aligned with Immunology R&D objectives.
  • Collaborate with Therapeutic Area teams, DDSAI Data Platform teams, Insights & Analytics, and other DDSAI functions to design and implement data science use cases, develop roadmaps from pilot to scale, and identify opportunities for reusable capabilities and workflow standardization.
  • Develop a deep understanding of imaging, digital health, clinical, and real-world data assets and align scientific use cases with appropriate datasets, technologies, and partners.
  • Map and analyze scientific and operational workflows to identify process improvements, automation opportunities, and future-state solutions that enhance research execution.
  • Partner with platform and engineering teams to shape scalable data, analytics, and digital capabilities that are reusable, governed, interoperable, and sustainable.
  • Evaluate and pilot emerging technologies, including generative AI, agentic workflows, workflow automation, and advanced analytics, to assess potential impact on Immunology R&D.
  • Contribute to data innovation and portfolio intelligence activities by identifying emerging technologies, data assets, and capability opportunities that may enhance R&D decision making.
  • Perform detailed analyses, develop high-quality materials, and communicate recommendations in technical and leadership forums to support decision making.
  • Other responsibilities in support of DDSAI objectives and broader R&D priorities, as required.
Required Qualifications
  • Masters degree in engineering, mathematics, or a related scientific discipline with at least 4 years of relevant experience. (PhD is a plus.)
  • At least 4 years of relevant professional or academic experience in pharmaceutical R&D, biotechnology, healthcare, data science, digital health, AI, analytics, or a related field.
  • Demonstrated ability to work effectively in cross-functional and matrixed environments.
  • Experience translating scientific or business needs into practical data, analytics, digital health, or AI-enabled solutions.
  • Demonstrated experience assessing and applying emerging AI technologies, including generative AI and agentic systems, to address scientific, clinical, operational, or business challenges.
  • Strong problem-solving, communication, organizational, and stakeholder engagement skills.
  • Familiarity with healthcare, clinical, imaging, digital health, biomarker, or real-world data.
Preferred Qualifications
  • Advanced degree
  • Experience supporting Immunology or another therapeutic area research and development organization.
  • Experience delivering data science, AI, digital health, analytics, or workflow transformation initiatives.
  • Experience working with healthcare datasets, including clinical trial, real-world, imaging, biomarker, omics, or digital health data.
  • Experience with analytical and data science tools such as Python, R, SQL, cloud platforms, or related technologies.
  • Experience contributing to the design, implementation, integration, or scaling of machine learning, generative AI, agentic AI, workflow automation, or digital health solutions in a healthcare or life sciences environment.
  • Familiarity with data platforms, process improvement, workflow design, capability development, or technology enablement initiatives.

This position will be located at one of our campuses in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or La Jolla/San Diego, CA (no fully remote option available). Travel for cross‑functional workshops, design sessions, and team meetings, etc., may be required.

Equal Opportunity Statement

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

Compensation and Benefits

The anticipated base pay range for this position is $117,000 to $201,250. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation – up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time – up to 40 hours per calendar year.

Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

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