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Wearable Sensor Research Jobs (NOW HIRING)

R&D Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

... of wearable sensor prototypes. ● Conduct literature reviews and assist in clinical research related to new platform indications including understanding the current landscape of available ...

... wearable sensor data, and behavioral measures. Collect, process, and analyze multimodal datasets, including neural, physiological, and motion-tracking signals. Develop and refine research protocols ...

Electrical Engineer (FT)

Natick, MA · On-site

$85K - $105K/yr

... wearable sensor constructs. Successful candidates will work with the Hardware team at Delsys to evolve their existing sensing portfolio to capture new market spaces and to translate advanced research ...

Background in global user research and inclusive design practices. * Knowledge of physiological monitoring or wearable sensor integration. * Prior experience in health tech, consumer electronics, or ...

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Wearable Sensor Research information

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$11K

$112.8K

$129K

How much do wearable sensor research jobs pay per year?

As of Aug 9, 2026, the average yearly pay for wearable sensor research in the United States is $112,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in wearable sensor research, and how can they be addressed?

Professionals in wearable sensor research often encounter challenges such as ensuring data accuracy in diverse real-world environments, achieving comfort and usability for end-users, and maintaining reliable device connectivity. Addressing these challenges typically involves close collaboration with multidisciplinary teams, including engineers, designers, and healthcare specialists, to iterate on prototypes, conduct user testing, and refine algorithms. Staying updated on advancements in material science and data analytics also plays a crucial role in overcoming technical obstacles and delivering practical solutions.

What are the key skills and qualifications needed to thrive in wearable sensor research?

To thrive in wearable sensor research, you need expertise in biomedical engineering, sensor technology, data analysis, and typically a relevant advanced degree (MSc or PhD). Familiarity with programming languages (e.g., Python, MATLAB), hardware prototyping tools, and data acquisition systems is essential. Strong problem-solving abilities, interdisciplinary collaboration, and effective communication help drive innovation and successful research outcomes. These skills enable researchers to develop reliable, user-friendly wearable technologies that address real-world health and performance challenges.

What is the difference between Wearable Sensor Research vs Wearable Device Development?

AspectWearable Sensor ResearchWearable Device Development
CredentialsBackground in engineering, biomedical sciences, or related fieldsSimilar credentials, often with additional focus on product design and engineering
Work EnvironmentResearch labs, universities, or R&D departmentsProduct design teams, manufacturing facilities, or tech companies
Industry UsageFocuses on sensor innovation, data collection, and analysisFocuses on integrating sensors into functional wearable products
Search & Comparison IntentUnderstanding research roles and scientific focusExploring product development careers and practical applications

Wearable Sensor Research involves exploring sensor technologies and data analysis in labs or academic settings, while Wearable Device Development emphasizes creating and engineering complete wearable products. Both roles share similar backgrounds but differ in focus—research versus product creation.

What is wearable sensor research?

Wearable sensor research is the scientific study and development of devices that can be worn on the body to monitor various physiological, behavioral, or environmental data. This field combines expertise from engineering, health sciences, and data analytics to create sensors that track metrics such as heart rate, activity levels, sleep patterns, and more. Researchers in this area aim to improve the accuracy, comfort, and usability of wearable sensors for applications in healthcare, fitness, and everyday life. The ultimate goal is to enable real-time monitoring and support for individuals, promoting better health outcomes and quality of life.
What cities are hiring for Wearable Sensor Research jobs? Cities with the most Wearable Sensor Research job openings:
What states have the most Wearable Sensor Research jobs? States with the most job openings for Wearable Sensor Research jobs include:
What job categories do people searching Wearable Sensor Research jobs look for? The top searched job categories for Wearable Sensor Research jobs are:
Infographic showing various Wearable Sensor Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $112,800 per year, or $54.2 per hour.

Research Assistant - Center for Neurodevelopmental and Imaging Research

Kennedy Krieger Institute

Baltimore, MD • On-site

$36K/yr

Full-time

Re-posted 15 days ago


Kennedy Krieger Institute rating

7.9

Company rating: 7.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description

Overview
The Research Assistant I assists behavioral and neuroimaging research focused on children with neurodevelopmental conditions with the Neurodevelopmental and Imaging Research Center. The Research Assistant I will play an integral role in all phases of research, including participant recruitment and assessment, MRI data acquisition, neuroimaging data processing, quantitative analysis, and dissemination of research findings. This role interacts with children and families in a clinical research environment and works independently with complex neuroimaging datasets and computational tools.
Responsibilities
1. Assist with study enrollment, including screening potential participants, determining eligibility, scheduling appointments, preparing participant materials, and supporting participant retention and longitudinal follow-up efforts.
2. Prepare pediatric participants for MRI scanning, including mock scanner training, behavioral support, and facilitation of a positive and engaging research experience for children and families.
3. Administer, score, and support psychosocial, behavioral, clinical, physiologic, and neuroimaging research activities in accordance with study protocols and Institutional Review Board (IRB) requirements.
4. Maintain accurate study documentation, participant records, regulatory records, and research databases to ensure accessibility, completeness, and compliance with IRB standards.
5. Coordinate and support MRI and diffuse optical tomography (DOT) scanning sessions involving pediatric participants, ensuring adherence to study protocols and MRI safety procedures.
6. Coordinate and support collection of actigraphy, EEG, wearable sensor, biological motion capture, and computer vision-based data to assess physical activity, sleep health, physiological function, motor functioning, and movement patterns.
7. Perform quality assurance procedures for MRI, DOT, wearable sensor, and biological motion capture data acquisition; monitor scan and data quality; and troubleshoot issues during data collection.
8. Process structural and functional neuroimaging data using established pipelines and software tools, conduct image quality control, and identify imaging artifacts.
9. Assist with neuroimaging analyses, including brain morphometry, connectivity analyses, longitudinal modeling, and other analytical approaches across research modalities.
10. Process and analyze actigraphy, EEG, wearable sensor, biological motion capture, behavioral, and clinical datasets to quantify physical activity, sleep health, physiological outcomes, and motor function.
11. Manage, clean, integrate, organize, and maintain neuroimaging, wearable sensor, biological motion capture, behavioral, clinical, and imaging archive databases.
12. Write and maintain scripts for automated data processing, quality assurance, database management, data visualization, and reproducible research workflows using tools such as Python, MATLAB, R, or Bash.
13. Generate figures, tables, reports, and other materials for manuscripts, presentations, conference abstracts, grant applications, grant reporting, and academic, clinical, or community audiences.
14. Participate in laboratory meetings, research discussions, and meetings with research and administrative partners; assist with scheduling, agenda preparation, discussion facilitation, and note-taking as needed.
Qualifications
EDUCATION:
Bachelor's degree in Neuroscience, Psychology, Cognitive Science, Biomedical Engineering, Computer Science, Data Science, Biology, or a related field, required.
EXPERIENCE:
• Demonstrated interest in neurodevelopment, child development, neuroscience, or clinical research, required.
• One (1) year of experience with biomedical or social research experience preferred.
• Familiarity with neuroimaging software such as FreeSurfer, FSL, AFNI, SPM, MRICloud, or related platforms, preferred.
• Experience working with children, families, or clinical populations.
• Experience with statistical analysis and data visualization and proficiency in at least one programming language (e.g., Python, R, MATLAB), preferred.
Minimum pay range
USD $36,955.98/Yr.
Maximum pay range
USD $60,296.50/Yr.

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