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Biomedical Visualization Jobs (NOW HIRING)

... visualization, and analysis of large and complex data, especially biomedical images. Routinely demonstrate initiative and creativity in developing technology solutions. * Demonstrate high proficiency ...

... visualization, and analysis of large and complex data, especially biomedical images. Routinely demonstrate initiative and creativity in developing technology solutions. * Demonstrate high proficiency ...

... visualization, and analysis of large and complex data, especially biomedical images. Routinely demonstrate initiative and creativity in developing technology solutions. * Demonstrate high proficiency ...

Research Positions

New York, NY · On-site

$48K - $62K/yr

Tandon School of Engineering The Visualization Imaging and Data Analysis Center (VIDA) at NYU ... Collaboration with domain experts from fields such as urban computing, biomedical research, and ...

Experience developing data visualization tools or dashboards for biomedical research. * Experience with clinical integration in hospital/healthcare environments, including deployment and user support.

Expertise in advanced biomedical imaging modalities (MRI, PET, CT, microscopy) and experience ... Strong foundation in statistical analysis, data visualization, and computational modeling. Proven ...

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Biomedical Visualization information

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$15

$28

$38

How much do biomedical visualization jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for biomedical visualization in the United States is $28.53, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $32.21 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Biomedical Visualization position, and why are they important?

To thrive in Biomedical Visualization, a strong background in both biomedical sciences and visual communication—often supported by a degree in medical illustration, biomedical visualization, or a related field—is essential. Mastery of digital illustration software (such as Adobe Creative Suite), 3D modeling tools (like Autodesk Maya or Blender), and sometimes certification from the Board of Certification of Medical Illustrators (CMI) is advantageous. Attention to detail, creativity, and effective collaboration and communication skills help differentiate top professionals in this field. These skills are crucial for accurately conveying complex scientific concepts to diverse audiences, including healthcare professionals, patients, and educators.

What is a Biomedical Visualization job?

A Biomedical Visualization job involves creating accurate and engaging visuals to communicate complex medical and scientific concepts. Professionals in this field use illustration, animation, virtual reality, and other media to assist in education, research, and patient communication. They often collaborate with medical professionals, researchers, and educators to produce materials for textbooks, surgical simulations, pharmaceutical advertising, and more. This career requires expertise in both science and visual communication, often supported by specialized training in medical illustration or biomedical design.

What are the typical day-to-day responsibilities of someone working in Biomedical Visualization?

Professionals in Biomedical Visualization typically spend their days creating detailed medical illustrations, 3D models, animations, or interactive media to support education, research, or patient communication. They collaborate closely with scientists, physicians, and educators to ensure that visuals are scientifically accurate and effectively tailored to the target audience. Depending on the project, tasks may also include editing storyboards, consulting on visual strategy, and staying current with new visualization technologies. This dynamic role combines creative design skills with scientific knowledge and often involves both independent and team-based work.

More about Biomedical Visualization jobs
What cities are hiring for Biomedical Visualization jobs? Cities with the most Biomedical Visualization job openings:
What are the most commonly searched types of Biomedical Visualization jobs? The most popular types of Biomedical Visualization jobs are:
What states have the most Biomedical Visualization jobs? States with the most job openings for Biomedical Visualization jobs include:
Infographic showing various Biomedical Visualization job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 66% Full Time, 32% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $59,333 per year, or $28.5 per hour.

Data Scientist (biosensor) in NYC, NY 100% ONSITE

Talent Movers

New York, NY • On-site

Contractor

Posted 12 days ago


Job description

We are Hiring for Data Scientist (biosensor) in NYC, NY 100% Onsite
Title : Data Scientist
Location: Onsite in NYC, NY
Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The Data Scientist will contribute to biosensor data analysis and help to guide future biosensing R&D.
Job Responsibilities:
Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets.
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, and make valuable discoveries leading to prototype biosensor development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the biosensor data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Leverage data visualization to help the team make decisions about future R&D directions to go.
Skills:
Experience with hardware sensors, and data analysis pertaining to real-world data.
Experience with signal processing pertaining to time domain signals and/or medical imaging systems
Experience presenting findings from statistical and machine learning methods to diverse audiences
Experience working with large datasets.
3+ years of experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL.
Proficiency in data structures and algorithms.
Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret.
Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, ggplot2.
Education/Experience:
Master of Science or PhD degree in computer science, statistics, neuroscience, biomedical engineering, or other relevant field.