2

Data Science Remote Internship Jobs in Boston, MA

Staff Data Scientist

Boston, MA ยท On-site +1

$160K - $195K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... Everything you would expect on a world-class data science team solving world-class problems. Big ...

Data Scientist

Cambridge, MA ยท On-site +1

$114K - $133K/yr

... Science or a related field & completion of a university-level course, research project, internship ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

Join a cutting-edge AI Platform team as a Lead Data Scientist in a 6-month remote contract-to-hire opportunity. You'll provide technical leadership while driving the development of enterprise-scale ...

Data Scientist

Boston, MA ยท Remote

$74K - $88K/yr

... computer science, data analytics, data science, statistics, mathematics, engineering or related ... The agency has a hybrid schedule, combining time in the office with remote work. Employees must ...

Data Scientist II, Outcomes Research

Boston, MA ยท On-site +1

$100K - $150K/yr

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Data Product Manager

Marlborough, MA ยท Remote

$50 - $65/hr

Remote (Preference for candidates local to Marlborough, MA) Start Date Is: ASAP Duration: 6-month ... Partner with data engineering and data science teams to deliver scalable data solutions.

Oncology Data Specialist

Northborough, MA ยท Remote

$120K - $150K/yr

... remote position. Based in Northborough, this role plays a crucial part in harnessing data to ... Associate's degree in Data Science, Health Informatics, or a related field * 1-3 years of ...

Oncology Data Specialist

Northborough, MA ยท Remote

$150K - $200K/yr

This full-time, remote position allows you to leverage your expertise in the health and fitness ... Bachelor's degree in Data Science, Health Informatics, or a related field * 1+ years of experience ...

Showing results 21-40

Data Science Remote Internship information

See Boston, MA salary details

$13

$24

$45

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

As of Sep 5, 2026, the average hourly pay for data science remote 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 is a data science remote internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

What are the key skills and qualifications needed to thrive as a data science remote intern?

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.

What is the difference between Data Science Remote Internship vs Data Analyst Remote Internship?

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

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

The most popular types of Data Science Remote jobs in Boston, MA are:

What are popular job titles related to Data Science Remote Internship jobs in Boston, MA?

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

What cities near Boston, MA are hiring for Data Science Remote Internship jobs?

Cities near Boston, MA with the most Data Science Remote Internship job openings:

Infographic showing various Data Science Remote Internship job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $50,854 per year, or $24.4 per hour.

Senior Manager, R&D Data, Data Science, and AI - Digital Health for Neuropsychiatry

Jj

Cambridge, MA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 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 Sciences

Job Sub Function:

Data Science Portfolio Management

Job Category:

Professional

All Job Posting 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 athttps://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for Senior Manager, R&D Data, Data Science, and AI - Digital Health for Neuropsychiatry to be located at one of our sites inCambridge, MA, Raritan, NJ, Titusville, NJ, Spring House, PA, or San Diego, CA (La Jolla area).


This Senior Manager will join the Neuroscience Data, Data Science, and AI (DDSAI) team to advance digital health innovation for neuropsychiatry and accelerate development of novel treatments. The role combines hands-on data science leadership in partnership with the Neuroscience clinical and regulatory teams, as well as collaboration with academic, technology, and pre-competitive partners. The leader will help develop, validate, and operationalize digital tools, novel endpoints, patient stratification approaches, and evidence strategies for mood, psychotic, cognitive, and related neuropsychiatric disorders.


Key Responsibilities

  • Digital Health Strategy: Partner with cross-functional teams to define a neuropsychiatric digital health roadmap that integrates AI/ML (e.g., foundation models), data science, and company priorities across the patient journey, ensuring clinical relevance and patient-centered outcomes.
  • Digital Health Landscape: Monitor emerging technologies in neuropsychiatry, digital phenotyping, remote assessment, passive sensing, and speech and language analytics to bring forward next-generation solutions for neuropsychiatry R&D.
  • Digital Endpoints & Tools: Execute the neuropsychiatry-focused digital health strategy by applying AI/ML, modeling, and longitudinal analytics to support patient stratification, endpoint development, and clinical trial optimization, in partnership with disease experts, statisticians, and platforms and clinical teams on study design and validation of digital measures, balancing their informativeness with low clinical burden for patients and study teams.
  • Advanced Statistical Modeling: Develop and apply sophisticated statistical/ML/AI models using digital health data to generate insights into disease and treatment outcomes. Leverage longitudinal disease modeling, Bayesian methods, and causal inference techniques to inform decision-making.
  • Multimodal Integration: Develop multimodal approaches combining digital health data with imaging, blood-based biomarkers, omics, and real-world data to provide a more holistic picture of patients suffering from neuropsychiatric disease.
  • Evidence Generation: Contribute to evidence packages to support regulatory qualification of digital endpoints and tools.
  • Regulatory: Ensure validation and compliance with evolving global regulatory and data privacy standards.
  • Internal Leadership: Collaborate with clinical operations to integrate digital health technologies into trial design, working cross-functionally to optimize data capture, integration, and interoperability of digital solutions.
  • External Leadership: Partner with regulatory and medical affairs to build external collaborations with academic groups, technology partners, regulators, health authorities, and payers to advance digital health standards and novel endpoints.


Qualifications

  • Advanced degree (PhD, MD, or equivalent) in neuroscience, psychology, psychiatry, cognitive neuroscience, biomedical engineering, data science, biostatistics, or a related quantitative or clinical field.
  • 6+ years of experience in pharmaceutical, biotech, or healthcare analytics.
  • Experience in clinical development, digital health technologies, outcome assessments, biomarkers, or patient stratification approaches in clinical research, with demonstrated expertise in neuropsychiatry (preferred).
  • Experience with biostatistics, machine learning, digital health data such as speech, language, behavior, sensor, and/or neuroimaging data, multimodal digital data integration, and longitudinal analysis.
  • Track record developing and validating digital health tools, endpoints, or biomarkers.
  • Familiarity with data standards, privacy regulations, and regulatory pathways for digital measures; experience supporting regulatory submissions (strong plus).
  • Experience integrating digital solutions into patient recruitment, screening, and clinical trial operations.
  • Excellent cross-functional leadership, communication, and collaboration skills.
  • Track record of scientific contributions, including presentations and publications.


This position will be located on site at one of our offices in either Cambridge MA, Titusville NJ, Raritan NJ, Spring House PA, or San Diego, CA (No fully remote option available). Occasional travel for crossfunctional workshops, and team meetings may be required.

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.


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.


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.

The anticipated base pay range for this position is $137,000 to $235,750. 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

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.


#LI-SL
#JNJDataScience
#JRDDS
#JNJIMRND-DS
#LI-Hyrbid

Required Skills:

Preferred Skills:

Advanced Analytics, Business Case Modeling, Consulting, Cross-Functional Collaboration, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Negotiation, Organizing, Predictive Modeling, Process Improvements, Product Portfolio Management, Technical Credibility