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Research Scientist Biosensor Jobs (NOW HIRING)

KIHOMAC

Biosensor Engineer (Contingent)

Aberdeen, MD · On-site

$115K - $130K/yr

Bachelor's Degree in relevant engineering or science discipline required Experience: * 5+ years of ... DoD or research lab experience preferred Security: * Must be a US citizen * Active Top Secret ...

MiniMed

Distinguished Scientist

Northridge, CA · On-site

Provides technical leadership for next-generation CGM sensor design, research, and development ... Significant experience in glucose sensor, biosensor, electrochemical sensor, or related medical ...

MiniMed

Distinguished Scientist

Los Angeles, CA

Provides technical leadership for next-generation CGM sensor design, research, and development ... Significant experience in glucose sensor, biosensor, electrochemical sensor, or related medical ...

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All JobsResearch Scientist Biosensor Jobs

Research Scientist Biosensor information

See salary details

$50.5K

$130.1K

$174K

How much do research scientist biosensor jobs pay per year?

As of Jun 9, 2026, the average yearly pay for research scientist biosensor in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Research Scientist Biosensor vs Research Scientist Biomedical Devices?

AspectResearch Scientist BiosensorResearch Scientist Biomedical Devices
Required CredentialsMaster's or PhD in Bioengineering, Biochemistry, or related fieldsMaster's or PhD in Biomedical Engineering, Electrical Engineering, or related fields
Work EnvironmentLaboratories focused on sensor development, testing, and validationLabs working on medical device design, testing, and regulatory compliance
Employer & IndustryBiotech firms, research institutes, healthcare startupsMedical device companies, hospitals, research institutions
Common Search & ComparisonYesYes

The main difference between a Research Scientist Biosensor and a Research Scientist Biomedical Devices lies in their focus areas. Biosensor scientists specialize in developing sensors that detect biological molecules, while biomedical device scientists work on a broader range of medical equipment. Both roles require advanced degrees and involve laboratory research, but their specific applications and industry focus differ.

What are Research Scientist Biosensors?

Research Scientist Biosensors are professionals who develop and study devices that detect biological information and convert it into measurable signals. These scientists work at the intersection of biology, chemistry, physics, and engineering to create sensors used in healthcare, environmental monitoring, food safety, and biotechnology. Their tasks typically include designing experiments, analyzing data, and developing new biosensor technologies to improve sensitivity, specificity, and real-world applicability. Collaboration with multidisciplinary teams is common, and their research often leads to innovations that make diagnostics faster, cheaper, and more accurate.

What are the typical collaborations a Research Scientist Biosensor engages in within a multidisciplinary team?

Research Scientist Biosensors frequently work alongside chemists, electrical engineers, software developers, and clinical researchers to design, prototype, and validate biosensing devices. These collaborations are crucial for integrating biological elements with electronic systems, ensuring that biosensors are both sensitive and reliable. Regular communication and joint problem-solving are part of the role, helping to address technical challenges and accelerate development. Being comfortable working across disciplines is essential for success and career progression in this field.

What are the key skills and qualifications needed to thrive as a Research Scientist in Biosensors, and why are they important?

To thrive as a Research Scientist in Biosensors, you need a solid background in chemistry, biology, or engineering, often supported by a PhD or relevant postgraduate degree. Expertise with analytical instruments (e.g., spectrometers, electrochemical analyzers), lab techniques, and familiarity with data analysis software are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish standout candidates in this field. These competencies are vital for designing innovative biosensor technologies, ensuring accurate experimentation, and collaborating within interdisciplinary research teams.
Infographic showing various Research Scientist Biosensor job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $130,117 per year, or $62.6 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.