Position Details
About this role
This role involves developing machine learning algorithms for biomedical data analysis, focusing on signal processing, prototyping, and validation. The candidate will work on unstandardized datasets to create innovative solutions.
Key Responsibilities
- Work with biomedical data from collection to downstream tasks
- Prototype solutions and proof of concepts
- Develop novel algorithms for market edge
- Apply signal processing and machine learning models
- Support hardware and software teams
Technical Overview
The technical environment includes Python, C++, C, and signal processing techniques applied to biomedical datasets and time series data, with a focus on algorithm development and prototyping.
Ideal Candidate
The ideal candidate is a recent PhD graduate in Electrical Engineering, Mathematics, or Computer Science with a strong background in machine learning, signal processing, and algorithm development. They should have experience working with biomedical datasets and time series data, and be capable of rapid prototyping and solution-oriented research.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of PhD or relevant advanced degree, No experience with biomedical datasets or time series, Proficiency only in C++ or C without Python experience, No research or algorithm development background
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