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Biosensor Scientist Jobs (NOW HIRING)

GrapheneDx

Research Scientist, Assay Development

Boston, MA · On-site

$85K - $120K/yr

GrapheneDx is seeking a Research Scientist who will apply their expertise to advance our R&D efforts in biosensor development and communicate valuable insights to a highly collaborative and dynamic ...

MiniMed

Distinguished Scientist

Northridge, CA · On-site

Commercial CGM, wearable biosensor, implantable sensor, electrochemical sensor, or multi-analyte sensor development experience. * Expertise in one or more of the following: enzyme systems ...

MiniMed

Distinguished Scientist

Los Angeles, CA · On-site

Commercial CGM, wearable biosensor, implantable sensor, electrochemical sensor, or multi-analyte sensor development experience. * Expertise in one or more of the following: enzyme systems ...

University of Michigan

ASST RES SCIENTIST

Ann Arbor, MI · On-site

Provide technical and scientific leadership for the laboratory's implantable biosensor program, defining direction and experimental strategy, and mentoring graduate students in sensor development ...

IQVIA

Senior Scientist

Durham, NC · On-site

$80K - $167K/yr

Extensive handson experience with protein-protein interaction analysis using labelfree biosensor ... life sciences and healthcare industries. We create intelligent connections to accelerate the ...

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Biosensor Scientist information

What does a Biosensor Scientist do?

A Biosensor Scientist develops and optimizes biosensors—devices that detect biological molecules for medical, environmental, or industrial applications. They work at the intersection of biology, chemistry, and engineering to design sensors with high sensitivity and specificity. Their role involves research, experimentation, data analysis, and sometimes prototype development for real-world applications.

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

To thrive as a Biosensor Scientist, you need a solid background in biochemistry, analytical chemistry, or bioengineering, typically supported by at least a master's or PhD in a related field. Experience with laboratory instrumentation, sensor fabrication techniques, and data analysis software like MATLAB or Python is often required, while certifications in laboratory safety can be beneficial. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set candidates apart. These skills are crucial for developing innovative biosensor technologies, ensuring accurate results, and advancing collaborative research and development projects.

What does a typical day look like for a Biosensor Scientist?

A typical day for a Biosensor Scientist involves designing and conducting laboratory experiments to develop or improve biosensor devices, analyzing experimental data, and troubleshooting technical challenges. Scientists often spend time collaborating with interdisciplinary teams, including engineers, biologists, and data analysts, to optimize sensor performance and interpret results. They also document findings, prepare technical reports, and may present their work at team meetings or scientific conferences. This blend of hands-on research, data analysis, and teamwork makes the role both dynamic and rewarding for those who enjoy problem-solving and innovation.

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Biosensor Scientist jobs near you
Infographic showing various Biosensor Scientist job openings in the United States as of July 2026, with employment types broken down into 4% Internship, 15% As Needed, 3% Full Time, 70% Part Time, 6% Temporary, and 2% Nights. Highlights an 3% Physical, and 97% Remote job distribution.

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

Talent Movers

New York, NY • On-site

Contractor

Re-posted 5 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.