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Biosensor Jobs in New York (NOW HIRING)

Biosensor information

See New York salary details

$40.5K

$73.6K

$158.6K

How much do biosensor jobs pay per year?

As of Aug 2, 2026, the average yearly pay for biosensor in New York is $73,578.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $70,600.00 per year, depending on experience, location, and employer.

What jobs can I get with bioscience?

With a background in bioscience, you can pursue roles such as biosensor researcher, biomedical engineer, laboratory technician, or quality control analyst. These jobs often require knowledge of laboratory techniques, data analysis, and familiarity with biosensor technology or related tools.

What biology jobs pay over $100k?

Biosensor engineers and senior research scientists in biotechnology or pharmaceutical companies often earn over $100,000 annually, especially with advanced degrees and specialized skills in molecular biology, electronics, or data analysis. Roles in research and development, product management, or regulatory affairs within these fields tend to have higher salaries, particularly with experience and relevant certifications.

What is a Biosensor job?

A Biosensor job involves designing, developing, and optimizing devices that detect biological molecules for medical, environmental, or industrial applications. Professionals in this field work with interdisciplinary teams to integrate biology, chemistry, and engineering principles into sensor technology. They may focus on improving sensitivity, selectivity, and real-time monitoring capabilities of biosensors. Common industries include healthcare (e.g., glucose monitors), food safety, and environmental monitoring.

What jobs pay $500,000 a year in the US?

Biosensor-related roles such as senior research scientists, biotech executives, or specialized medical device engineers can reach or exceed $500,000 annually, especially with experience, advanced degrees, and leadership responsibilities. High-level positions in biotech companies or startups with equity stakes may also achieve this compensation level.

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

To excel as a Biosensor Specialist, you need a strong background in biochemistry, analytical chemistry, electronics, and sensor technology, typically supported by at least a bachelor’s or master’s degree in a related scientific field. Proficiency with laboratory instrumentation, data analysis software, and experience with biosensor fabrication and validation techniques are commonly required. Attention to detail, problem-solving abilities, and effective communication are key soft skills for success in this multidisciplinary field. These skills enable efficient collaboration, innovative sensor development, and rigorous experimental analysis, which are critical for achieving accurate and reliable biosensor performance.

What are the typical daily responsibilities of a Biosensor Specialist?

As a Biosensor Specialist, your daily tasks may include designing and fabricating biosensors, performing laboratory experiments to test sensor performance, analyzing and interpreting experimental data, and documenting your findings. You’ll likely collaborate closely with cross-functional teams, such as research scientists, engineers, and product developers, to refine sensor prototypes and troubleshoot technical challenges. Additionally, you may participate in regular meetings to discuss project progress, compliance with safety standards, and potential applications for the sensors. This hands-on, collaborative environment offers the chance to contribute to innovative developments in healthcare, environmental monitoring, or industrial applications.

What skills are needed to design a biosensor?

Designing a biosensor requires skills in biomedical engineering, chemistry, and electronics, including knowledge of sensor fabrication, signal processing, and data analysis. Proficiency in laboratory techniques, programming, and familiarity with materials science are also important for developing effective biosensors.
What are the most commonly searched types of Biosensor jobs in New York? The most popular types of Biosensor jobs in New York are:
What cities in New York are hiring for Biosensor jobs? Cities in New York with the most Biosensor job openings:
Infographic showing various Biosensor job openings in New York as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $73,578 per year, or $35.4 per hour.

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.