Biomedical signal processing engineer

Company Description

Suntrion Technosol Pvt Ltd is an Instrumentation Company with diversifications in to Medical Instrumentation, Analytical Instrumentation and Industrial Instrumentation. Suntrion helpshealthcareproviders integrate and enhance mission-critical IT capabilities to safeguard patient information with cyber-resilient systems.

Role Description

This is an excellent opportunity for candidates interested inEEG, Digital Signal Processing, and medical product development. The engineer will be responsible for designing, implementing, and optimising algorithms for biomedical signal processing (eg, EEG, EMG, ECG).

Qualifications

• Strong experience in Algorithm Development and proficiency in designing methodologies for signal analysis and processing.
• Proficiency in Digital Signal Processing and Signal Processing techniques, including hands-on experience with associated tools and software.

Key Responsibilities

Develop EEG signal processing algorithms including filtering and signal enhancement

Implement EEG visualisation features such as montage switching and signal display workflows

Work on signal viewing and interaction features using Python backend and React frontend

Read scientific papers and research articles and translate concepts into working product features

Collaborate with engineering and product teams to improve performance and usability

Required Skills

Strong Python programming skills

Understanding of Digital Signal Processing (filters, FFT, noise removal, time-series analysis)

Interest or experience in biomedical signals (EEG preferred)

Basic knowledge of ReactJS or frontend integration workflows

Strong analytical and research mindset

Preferred

Experience with EEG or biomedical signal formats (EDF/BDF or similar)

Experience reading and implementing research papers

Duration:6 Months Internship. If the candidate skill set matches the requirement, a full time position will also be offered based on their request.

Mode:Onsite/ Opportunity to work on production-level healthcare technology.