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Internship Data Visualization Intern Jobs in Boston, MA

Volunteer/ Intern

Dorchester, MA · On-site

$15.75 - $21/hr

The internship is dedicated to supporting early-career health professionals who are interested in ... review/data analysis, literature review, or operations support. If possible, the project will ...

Volunteer/ Intern

Dorchester, MA · Hybrid

$15.75 - $21/hr

The internship is dedicated to supporting early-career health professionals who are interested in ... review/data analysis, literature review, or operations support. If possible, the project will ...

Volunteer/ Intern

Dorchester, MA · On-site

$15.75 - $21/hr

The internship is dedicated to supporting early-career health professionals who are interested in ... review/data analysis, literature review, or operations support. If possible, the project will ...

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Internship Data Visualization Intern information

See Boston, MA salary details

$9

$18

$25

How much do internship data visualization intern jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for internship data visualization intern in Boston, MA is $18.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Visualization Intern vs Data Analyst Intern?

AspectInternship Data Visualization InternData Analyst Intern
Required SkillsData visualization tools, basic analytics, programming (e.g., Excel, Tableau, Power BI)Data analysis, statistical skills, programming (e.g., SQL, Python)
Work EnvironmentCollaborative, project-based, often in tech or marketing firmsResearch-focused, cross-departmental, in various industries
Typical EmployerTech companies, marketing agencies, consulting firmsFinancial institutions, healthcare, tech companies

While both roles involve working with data, the Internship Data Visualization Intern primarily focuses on creating visual representations of data to communicate insights, whereas the Data Analyst Intern performs broader data analysis tasks, including statistical evaluation and data cleaning. The visualization intern role emphasizes tools like Tableau or Power BI, while the analyst role requires skills in SQL or Python. Both internships are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects do Data Visualization Interns typically work on during their internship?

As a Data Visualization Intern, you can expect to work on a variety of projects that involve transforming raw data into compelling visual stories. Typical responsibilities include assisting with the creation of dashboards, charts, and interactive reports to help different teams make data-driven decisions. Interns often collaborate closely with data analysts, UX designers, and other stakeholders to ensure that visualizations are both informative and user-friendly. These experiences not only build technical skills in tools like Tableau or Power BI but also strengthen communication and teamwork abilities, which are highly valued in the field.

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

To thrive as a Data Visualization Intern, you generally need a foundation in data analysis, understanding of visualization principles, and coursework or experience in statistics or computer science. Familiarity with tools such as Tableau, Power BI, or D3.js, as well as proficiency in programming languages like Python or R, is typically expected. Strong attention to detail, creativity, and effective communication skills help you transform complex data into clear, actionable visuals. These skills enable you to present insights in a compelling way, supporting informed decision-making and effective storytelling within the organization.

What does a Data Visualization Intern do?

A Data Visualization Intern assists in transforming raw data into visual formats such as charts, graphs, and dashboards to help organizations understand trends and make data-driven decisions. They work with tools like Tableau, Power BI, or Python libraries to create visual representations of data, often collaborating with data analysts and other team members. Their responsibilities may also include cleaning data, preparing reports, and presenting findings in a clear and accessible manner. This role is ideal for students or recent graduates interested in data analytics, design, and technology.
What job categories do people searching Internship Data Visualization Intern jobs in Boston, MA look for? The top searched job categories for Internship Data Visualization Intern jobs in Boston, MA are:
What cities near Boston, MA are hiring for Internship Data Visualization Intern jobs? Cities near Boston, MA with the most Internship Data Visualization Intern job openings:
Infographic showing various Internship Data Visualization Intern job openings in Boston, MA as of June 2026, with employment types broken down into 6% Internship, 2% As Needed, 56% Full Time, 29% Part Time, 1% Temporary, and 6% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $39,105 per year, or $18.8 per hour.
HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab)

HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab)

Harvard University

Cambridge, MA • On-site

$54K - $73K/yr

Full-time

Medical, Vision

Posted 28 days ago


Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

134th of 544 rated colleges and universities


Job description

Position
Details
Title
HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab)
School
Harvard Medical School
Department/Area
Position Description
Our Lab
Join our team of researchers, engineers, and designers to shape a future in which humans and AI collaborate to solve the most challenging biological and medical problems!
The HIDIVE Lab in the Department of Biomedical Informatics at Harvard Medical School is conducting research at the interface human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical data. In our work, we combine state-of-the-art biomedical informatics, data visualization, and AI/ML techniques across the full spectrum of biomedical data. An overview of recent publications of the lab can be found on Google Scholar.
We value diverse viewpoints, creative thinking, and bold initiative in a highly collaborative and interdisciplinary work environment. The HIDIVE Lab has an international reputation for creating high impact data visualization tools and we are driven to solve the most challenging design and engineering problems where biomedical data, humans, and AI meet. We would love to have you on our team!
Your Role
As a Postdoctoral Research Fellow in the lab, you will take a scientific leadership role and be in charge of one or more research projects. Under the mentorship of the PI, you will develop and execute strategies for
  • publishing,
  • collaboration, and
  • funding acquisition (grants, industry sponsorship)

to support and disseminate your work. You will also have the opportunity to
  • mentor junior lab members (interns, Masters and PhD students) and
  • occasionally participate in teaching and outreach.

Research Fellows typically stay in the lab for a period of around 2 - 4 years with the aim of leading a research group as their next career step. Alternative career paths can be supported as well but the primary goal is to prepare Research Fellows for success as an independent researcher in academic or non-profit settings. To achieve your career goals, you will be able to take advantage of career development opportunities offered by the Harvard Medical School Postdoc Office and other Harvard University resources.
Our Research
We are currently looking for postdoctoral researchers who want to contribute to our mission by leading research projects in one or more of the following areas:
  • Generative AI for visual exploration of biomedical data
  • Interfaces for collaboration with AI Co-Scientists
  • Multimodal clinical data visualization, including EHR, imaging, genomics, and clinical trial data
  • Mixed Reality for 2D and 3D tissue data visualization in spatial biology
  • Communication and interactive storytelling through biomedical data visualization
  • Visualization of genome-mapped data (genomics, epigenomics, nucleomics, etc.)
  • Multimodal spatial and single-cell data visualization
  • 2D and 3D bioimaging data visualization
  • Data analysis and data management infrastructure for biomedical data visualization

Our Resources
The HIDIVE Lab participates in large-scale collaborative projects such as
  • NIH Human Biomolecular Atlas Program (HuBMAP)
  • NIH Cellular Senescence Network (SenNet)
  • NIH Kidney Precision Medicine Network (KPMP)
  • NIH Common Fund Data Ecosystem (CFDE)
  • APRA-H Biomedical Data Fabric (BDF)
  • Human Cell Atlas (HCA)
  • NIH 4D Nucleome Consortium (4DN).

Through these projects, we have access to a large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual collaborators at Harvard and beyond, who bring their computational, data science, and biomedical expertise to our projects.
Our work also benefits from multiple research software products (e.g., HiGlass, Vitessce, Gosling, HuBMAP Data Portal User Interface, etc.) that the HIDIVE Lab has developed and maintains through a team of engineers and designers. These products are used by individual scientists, consortia, and companies all over the world and can serve as a framework to implement and disseminate the outcomes of our research.
Basic Qualifications
The minimum qualifications for this role are:
  • Doctoral degree in biomedical informatics, computer science, computational biology, data science or a related field.
  • Peer-reviewed publications in the top venues in your area of expertise.
  • Demonstrated ability to work collaboratively across scientific domains.

Additional Qualifications
If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees.
Special Instructions
Contact Information
George Bandek
695 Huntington Ave, STE 514
Boston, MA 02115
Contact Email
george_bandek@hms.harvard.edu
Salary Range
This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.
Minimum Number of References Required
1
Maximum Number of References Allowed
3
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