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Biosensor Research Jobs (NOW HIRING)

Meta

Research Manager

Burlingame, CA · On-site

$219K - $301K/yr

Meta is seeking a Research Scientist Manager with expertise in product-focused signal processing ... biosensor development in consumer hardware space (e.g. biosensors or novel input devices such as ...

sgsconsulting

Bench Scientist

Cambridge, MA · On-site

$42 - $45/hr

Present Biosensor results to cross-functional project teams that impact research portfolio advancement. * Interpret results and effectively communicate scientific findings to cross-functional project ...

Dartmouth College

Research Coordinator

Hanover, NH · On-site

The Research Coordinator will play a key role in Digital Biomarkers of Postoperative Pain study ... This five-year, NIH-funded trial will use ecological momentary assessment (EMA), wearable biosensor ...

Meta

Research Manager

Burlingame, CA · On-site

$219K/yr

Meta is seeking a Research Scientist Manager with expertise in product-focused signal processing ... Experience with human-in-loop sensor/wearable biosensor development in consumer hardware space (e.g ...

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Biosensor Research information

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How much do biosensor research jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for biosensor research in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

What is biosensor research?

Biosensor research involves the study and development of devices that detect biological molecules or chemical substances and convert their presence or concentration into a measurable signal. Researchers in this field work on designing, fabricating, and optimizing sensors for applications such as medical diagnostics, environmental monitoring, and food safety testing. They often combine principles from biology, chemistry, physics, and engineering to improve the sensitivity, specificity, and reliability of biosensors.

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

Success in Biosensor Research requires a strong background in biology, chemistry, and engineering, typically supported by an advanced degree such as a master's or Ph.D. in a relevant field. Familiarity with laboratory instrumentation, data analysis software, and techniques like electrochemical sensing is essential, and certifications in laboratory safety or specific analytical tools can be beneficial. Critical thinking, creativity, and effective communication help researchers innovate and collaborate within multidisciplinary teams. These skills ensure the development of reliable biosensing technologies and facilitate advancements in medical diagnostics and environmental monitoring.

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

Professionals in biosensor research often encounter challenges such as ensuring sensor specificity and sensitivity, integrating biosensors with electronic systems, and translating laboratory prototypes into scalable, real-world applications. Addressing these challenges requires strong interdisciplinary collaboration with chemists, engineers, and data scientists, as well as staying updated on advancements in materials science and signal processing. Regular team meetings, continuous skill development, and active participation in industry conferences can help researchers overcome obstacles and contribute to successful project outcomes.

What is the difference between Biosensor Research vs Biosensor Development?

AspectBiosensor ResearchBiosensor Development
CredentialsTypically requires a degree in biology, chemistry, or engineeringRequires similar credentials, often with additional focus on engineering or applied sciences
Work EnvironmentLaboratories, research institutions, universitiesIndustrial labs, manufacturing facilities, R&D departments
Industry UsageFocuses on understanding biosensor mechanisms and innovationsFocuses on designing, testing, and bringing biosensors to market

While both roles involve biosensors, Biosensor Research emphasizes understanding and discovering new biosensor technologies, whereas Biosensor Development concentrates on creating and commercializing these sensors for practical use.

What are popular job titles for Biosensor Research?

Popular job titles for Biosensor Research:

Infographic showing various Biosensor Research job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.

Research Manager

Burlingame, CA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$219K - $301K/yr

Full-time

Re-posted 20 days ago

Key responsibilities

  • Lead a team of research scientists and research engineers to deliver high-quality products and solutions

  • Collaborate with cross functional teams including hardware, machine learning research and engineering teams to develop scalable systems to characterize sensor performance and their impact on product features

  • Develop scalable methodologies and tools to simulate biophysical signals and their approximations

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is seeking a Research Scientist Manager with expertise in product-focused signal processing and sensor development to help us create novel wearable devices and algorithms that will become one of the main pillars for interaction with the virtual and augmented world. Help us unleash human potential by removing the bottlenecks between user intent and action. Our team uses machine learning and statistical signal processing tools to advance our pioneering work building a practical, non-invasive wearable device that draws on rich neuromotor signals. We are a multi-disciplinary group of researchers and engineers who work closely with partner hardware, algorithms, and user experience teams to model and understand real-world use cases, set requirements for hardware performance, and develop software strategies to improve signal quality and product performance.
Responsibilities
Lead a team of research scientists and research engineers to deliver high-quality products and solutions
• Manage career guidance for the team through regular feedback and tracking performance
• Collaborate with cross functional teams including hardware, machine learning research and engineering teams to develop scalable systems to characterize sensor performance and their impact on product features
• Develop scalable methodologies and tools to simulate biophysical signals and their approximations
• Explore methods to improve ML models for product features by incorporating knowledge of sensor performance limitations
• Develop and implement engineering strategies to achieve product development targets
• Foster a work environment of continuous learning, growth and improvement
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Ph.D. in machine learning, AI, computer science, electrical engineering, statistics, applied mathematics, data science, signal processing, optimization or related technical fields
• 4+ years of experience in industry R&D in signal processing, sensor development, or related technical fields
• Experience defining research/technical direction for a team and to support the work of a small group of researchers towards those goals
Preferred Qualifications
• Experience with human-in-loop sensor/wearable biosensor development in consumer hardware space (e.g. biosensors or novel input devices such as electrocardiography (EKG/ECG), photoplethysmography (PPG), capacitive sensing, electromyography, etc)
• Demonstrated experience in managing technical teams including performance management
• Experience collaborating with multiple interdisciplinary and/or cross functional teams
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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