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Biomedical Data Visualization Jobs (NOW HIRING)

Harvard University

Research Software Engineer

Boston, MA · On-site

$223K/yr

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 ...

Harvard University

Research Software Engineer

Boston, MA · On-site

$223K/yr

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 ...

Axle

Data Scientist II

Rockville, MD

With experts in biomedical science, software engineering, and program management, we focus on ... Researcher-Facing Applications and Visualization: Build and support interactive dashboards (Shiny ...

Caris Life Sciences

Manager - Data Science

Tempe, AZ

Strong foundation in statistical modeling, machine learning, data visualization, and scientific interpretation. * Experience analyzing large, complex biomedical datasets, such as genomic, proteomic ...

Caris Life Sciences

Manager - Data Science

Tempe, AZ · On-site

Strong foundation in statistical modeling, machine learning, data visualization, and scientific interpretation. * Experience analyzing large, complex biomedical datasets, such as genomic, proteomic ...

Caris Life Sciences

Manager - Data Science

Tempe, AZ · On-site

Strong foundation in statistical modeling, machine learning, data visualization, and scientific interpretation. * Experience analyzing large, complex biomedical datasets, such as genomic, proteomic ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

... biomedical datasets. - Develop and implement proper statistical/computational models; - Develop and implement proper data visualization tools; - Perform rigorous and reproducible data analyses ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

... biomedical datasets. - Develop and implement proper statistical/computational models; - Develop and implement proper data visualization tools; - Perform rigorous and reproducible data analyses ...

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Biomedical Data Visualization information

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$54K

$109.5K

$161.5K

How much do biomedical data visualization jobs pay per year?

As of Sep 12, 2026, the average yearly pay for biomedical data visualization in the United States is $109,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $123,000.00 per year, depending on experience, location, and employer.

What is biomedical data visualization?

Biomedical data visualization is the process of creating graphical representations of complex biological and medical data to help researchers and healthcare professionals understand patterns, trends, and insights within the data. This field combines principles from biology, data science, and computer graphics to translate large datasets—such as patient records, genomic information, or clinical trial results—into interactive charts, graphs, and visual tools. Effective biomedical data visualization can improve decision-making, enhance communication among teams, and support scientific discoveries by making data more accessible and interpretable.

What are the key skills and qualifications needed to thrive as a biomedical data visualization specialist?

To thrive as a Biomedical Data Visualization Specialist, you need a strong background in data analysis, statistics, and biomedical sciences, often supported by a relevant degree. Proficiency with visualization tools such as Tableau, R, Python (matplotlib, seaborn), and familiarity with biomedical databases are typically required. Strong attention to detail, creativity, and the ability to communicate complex information clearly are essential soft skills. These competencies ensure accurate, insightful visualizations that help researchers and clinicians make informed decisions based on complex biomedical data.

What are some common challenges faced when visualizing biomedical data, and how can they be addressed in this role?

One common challenge in biomedical data visualization is handling large and complex datasets that often come from diverse sources, such as clinical trials, genomics, or imaging. Ensuring data integrity, managing missing values, and selecting appropriate visualization techniques are crucial for clear and accurate insights. Professionals in this role frequently collaborate with researchers and clinicians to understand data context and tailor visualizations to specific audiences. Staying current with visualization tools and best practices helps address these challenges and ensures the effective communication of critical biomedical information.

What is the difference between Biomedical Data Visualization vs Biomedical Data Analyst?

AspectBiomedical Data VisualizationBiomedical Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Data Science, or related fields; proficiency in visualization toolsBachelor's or Master's in Bioinformatics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch labs, healthcare institutions, biotech companies focusing on visual data representationResearch institutions, healthcare, biotech firms analyzing and interpreting data
Employer & Industry UsageUsed to create visual representations of biomedical data for research and presentationUsed to analyze, interpret, and report biomedical data for decision-making

Biomedical Data Visualization focuses on creating visual representations of biomedical data to aid understanding and communication. In contrast, Biomedical Data Analysts interpret and analyze data to derive insights. Both roles often require similar educational backgrounds but serve different functions within the data lifecycle.

What other helpful pages are available for Biomedical Data Visualization?

Other pages related to Biomedical Data Visualization:

Infographic showing various Biomedical Data Visualization job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $109,451 per year, or $52.6 per hour.

HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab)

Cambridge, MA • On-site

Harvard University
Colleges, Universities, and Professional Schools • 51 - 200 employees
Learn more about Harvard Universityexternal

$54K - $73K/yr

Full-time

Medical, Vision

Re-posted 8 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

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, Master's 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-policies.
Minimum Number of References Required
1
Maximum Number of References Allowed
3
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