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Biomedical Visualization Jobs (NOW HIRING)

Axle

Data Scientist II

Rockville, MD · On-site

... biomedical datasets. Incorporate AI/LLM-based extraction where appropriate, with clear validation and communication to stakeholders. * Researcher-Facing Applications and Visualization: Build and ...

Axle

Data Scientist II

Rockville, MD

... biomedical datasets. Incorporate AI/LLM-based extraction where appropriate, with clear validation and communication to stakeholders. * Researcher-Facing Applications and Visualization: Build and ...

Axle

Data Scientist II

Rockville, MD

... biomedical datasets. Incorporate AI/LLM-based extraction where appropriate, with clear validation and communication to stakeholders. * Researcher-Facing Applications and Visualization: Build and ...

Howard

Research Assistant

Seeley, CA

$24/hr

... biomedical and clinical sources. * Conduct exploratory data analysis , data visualization, and feature engineering. * Develop, train, and evaluate machine learning and deep learning models . * Review ...

Howard University

Research Assistant

Washington, DC · On-site

$24/hr

... biomedical and clinical sources. * Conduct exploratory data analysis , data visualization, and feature engineering. * Develop, train, and evaluate machine learning and deep learning models . * Review ...

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How much do biomedical visualization jobs pay per hour?

As of Jun 30, 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:
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Biomedical Visualization jobs near you
Infographic showing various Biomedical Visualization job openings in the United States as of June 2026, with employment types broken down into 69% Full Time, 29% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $59,333 per year, or $28.5 per hour.
Post Doctoral Fellow in Biomedical Internet of Things (IoT) and AI

Post Doctoral Fellow in Biomedical Internet of Things (IoT) and AI

University of Arizona

Tucson, AZ • On-site

$68K - $86K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

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Key responsibilities

  • Design and implement embedded firmware for microcontrollers to acquire, preprocess, and transmit physiological signals.

  • Develop low-power IoT interfaces and build end-to-end data pipelines for reliable, secure data transfer to cloud and edge systems.

  • Validate performance through bench testing and clinical pilot studies with vital-sign monitors and collaborate with clinicians and clinical engineers.

University Of Arizona rating

7.2

Company rating: 7.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

337th of 544 rated colleges and universities

Job description

The Arizona Center for Telemedicine and Digital Health invites applications for a Post‐Doctoral Fellow in Biomedical Internet of Things (IoT) and AI to design and develop IoT interfaces for biomedical sensors and embedded microcontrollers used with vital‐sign monitors. This is a hands‐on research and development role combining embedded firmware, sensor electronics, secure data pipelines, digital signal processing, AI, and clinical validation to accelerate next‐generation remote monitoring solutions.

Key Responsibilities

  • Design and implement embedded firmware for microcontrollers (ARM Cortex‐M, ESP32, etc.) to acquire, preprocess, and transmit physiological signals.
  • Integrate biomedical sensors (ECG, PPG, SpO2, temperature, respiration, accelerometers) with analog front ends and ADCs.
  • Develop low‐power IoT interfaces using BLE, Wi‐Fi, LoRa, and MQTT/HTTP for reliable, secure data transfer to cloud and edge systems.
  • Prototype hardware and electronics including sensor interfacing, signal conditioning, and basic PCB bring‐up.
  • Build end‐to‐end data pipelines: embedded → gateway → cloud; implement data serialization, buffering, and fault tolerance.
  • Validate performance through bench testing and clinical pilot studies with vital‐sign monitors; collaborate with clinicians and clinical engineers.
  • Ensure security and compliance: implement encryption, authentication, and HIPAA‐aware data handling practices.
  • Document and disseminate results via technical reports, peer‐reviewed publications, and presentations.
  • Mentor students and collaborate across multidisciplinary teams (clinicians, software engineers, regulatory specialists).

Required Qualifications

  • PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering, or related field completed within the last 5 years.
  • Strong embedded systems experience: C/C++, RTOS, device drivers, low‐level peripheral control (ADC, DMA, I2C, SPI, UART).
  • Hands‐on experience with microcontrollers (ARM Cortex‐M family, ESP32, nRF52, or similar).
  • Proven sensor integration skills: analog front-end design, signal conditioning, sampling theory, and noise mitigation.
  • Wireless and IoT protocols: BLE, Wi‐Fi, LoRa, MQTT, HTTP, and experience with gateway/cloud integration.
  • Data processing and scripting: proficiency in Python or MATLAB for signal processing, analysis, and visualization.
  • Experience with medical device or clinical research environments or demonstrated ability to work with clinical partners.
  • Strong written and verbal communication and a record of technical publications or demonstrable project deliverables.

Preferred Qualifications

  • Prior work with vital‐sign monitors or physiological signal acquisition systems.
  • Experience with secure data architectures and familiarity with HIPAA, GDPR, or equivalent privacy frameworks.
  • PCB layout and hardware debugging experience.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerized services.
  • Machine learning or advanced signal processing applied to physiological data.
  • Experience mentoring students or leading small engineering teams.

Appointment Details and Benefits

  • Position type: Full‐time post‐doctoral fellowship.
  • Duration: 1–3 years, renewable based on performance and funding.
  • Location: on‐site presence required for hardware prototyping and clinical testing.
  • Compensation: Competitive salary commensurate with experience and institutional postdoc scales; benefits include health insurance, retirement plan, and professional development support.
  • Support for conference travel and research expenses.


 Join us to be at the forefront of biomedical IoT innovation! Your expertise will help shape the future of personalized healthcare solutions through groundbreaking AI research. This is a paid position committed to fostering your professional growth while making meaningful contributions to health technology advancements.

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