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Advanced Biosensor Scientist Jobs (NOW HIRING)

St. Jude Children's Research Hospital

Fellows will have access to advanced microscopy platforms, data science expertise, and a highly collaborative environment where new imaging probes, biosensor systems, and analytical methods converge ...

St. Jude Children's Research Hospital

Fellows will have access to advanced microscopy platforms, data science expertise, and a highly collaborative environment where new imaging probes, biosensor systems, and analytical methods converge ...

Thecentermemphis

Fellows will have access to advanced microscopy platforms, data science expertise, and a highly collaborative environment where new imaging probes, biosensor systems, and analytical methods converge ...

IQVIA

Senior Scientist

Durham, NC · On-site

$80K - $167K/yr

... through advanced biomolecular interaction analyses. What You'll Be Doing: * Perform full ... Extensive handson experience with protein-protein interaction analysis using labelfree biosensor ...

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Advanced Biosensor Scientist information

What is the difference between Advanced Biosensor Scientist vs Biosensor Development Engineer?

AspectAdvanced Biosensor ScientistBiosensor Development Engineer
Required CredentialsMaster's or PhD in Bioengineering, Biochemistry, or related fieldsBachelor's or Master's in Bioengineering, Electrical Engineering, or related fields
Work EnvironmentResearch labs, academia, biotech companiesProduct development, R&D labs, industry settings
Industry UsageResearch, innovation, sensor designDesign, testing, and manufacturing of biosensors
Common Search IntentResearch roles, scientific developmentProduct development, engineering tasks

The Advanced Biosensor Scientist typically focuses on research, sensor innovation, and scientific analysis, often holding advanced degrees. In contrast, the Biosensor Development Engineer emphasizes practical design, testing, and manufacturing of biosensors, usually with a bachelor's or master's degree. Both roles are vital in biosensor development but differ mainly in their focus on research versus engineering application.

What are popular job titles related to Advanced Biosensor Scientist jobs?

For Advanced Biosensor Scientist jobs, the most frequently searched job titles are:

Infographic showing various Advanced Biosensor Scientist job openings in the United States as of September 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 87% In-person, and 13% Remote job distribution.

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

New York, NY • On-site

Talent Movers
See more jobs at Talent Moversexternal

Contractor

Re-posted 18 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.