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Remote Biomedical Signal Processing Engineer Jobs in Chicago, IL

Varsity Tutors

Biomedical Engineering Tutor

Wheaton, IL · Remote

$18 - $40/hr

Ability to explain signal processing for biosignals, finite element analysis, drug delivery systems, and medical device design principles while preparing students for biomedical engineering ...

Varsity Tutors

Biomedical Engineering Tutor

Chicago, IL · Remote

$18 - $40/hr

Ability to explain signal processing for biosignals, finite element analysis, drug delivery systems, and medical device design principles while preparing students for biomedical engineering ...

Varsity Tutors

Biomedical Engineering Tutor

Skokie, IL · Remote

$18 - $40/hr

Ability to explain signal processing for biosignals, finite element analysis, drug delivery systems, and medical device design principles while preparing students for biomedical engineering ...

MatrixSpace

FPGA Engineer

Hoffman Estates, IL · Remote

$150K - $200K/yr

We're looking for a FPGA Engineer to help build the foundation for next-generation radar ... Translate radar and signal processing algorithms into efficient FPGA implementations. * Debug and ...

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All JobsBiomedical Signal Processing Engineer JobsRemote Biomedical Signal Processing Engineer JobsRemote Biomedical Signal Processing Engineer Jobs in Chicago, IL

Remote Biomedical Signal Processing Engineer information

See Chicago, IL salary details

$55.1K

$135.3K

$199.3K

How much do remote biomedical signal processing engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote biomedical signal processing engineer in Chicago, IL is $135,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $151,900.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote Biomedical Signal Processing Engineers, and how can they be addressed?

Remote Biomedical Signal Processing Engineers often face challenges related to collaborating with interdisciplinary teams, ensuring data security, and accessing necessary hardware for testing algorithms. To overcome these, it's important to establish clear communication channels with colleagues, make use of secure data transfer protocols, and leverage remote access to lab equipment or simulators when possible. Regular virtual meetings and documentation can help maintain alignment with project goals and facilitate effective teamwork.

What does a Remote Biomedical Signal Processing Engineer do?

A Remote Biomedical Signal Processing Engineer analyzes and interprets physiological signals—such as ECG, EEG, or EMG—using advanced computational and mathematical methods. They work remotely to develop algorithms and software that aid in medical diagnostics, patient monitoring, and healthcare research. Their role often involves cleaning, filtering, and extracting meaningful information from complex biological data to support clinical decisions or scientific studies. Collaboration with medical professionals and teams is common, and strong knowledge of signal processing, biomedical engineering, and programming is essential.

What is the difference between Remote Biomedical Signal Processing Engineer vs Remote Medical Data Analyst?

AspectRemote Biomedical Signal Processing EngineerRemote Medical Data Analyst
Required CredentialsBachelor's or Master's in Biomedical Engineering, Electrical Engineering, or related fields; knowledge of signal processingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, healthcare tech companies, hospitals; focus on signal dataHealthcare organizations, research institutions; focus on large datasets
Employer & Industry UsageMedical device companies, biotech firms, hospitalsHealthcare providers, research organizations, health tech startups

While both roles involve working with healthcare data, Remote Biomedical Signal Processing Engineers focus on analyzing and developing algorithms for biomedical signals like ECG or EEG. Remote Medical Data Analysts interpret large health datasets to derive insights. The roles differ mainly in technical focus and data types but often collaborate within healthcare tech environments.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Signal Processing Engineer, and why are they important?

To thrive as a Remote Biomedical Signal Processing Engineer, you need expertise in signal processing, biomedical engineering, and a strong background in mathematics and statistics, usually supported by a relevant degree. Familiarity with tools like MATLAB, Python (NumPy, SciPy), and experience with medical device data protocols and regulatory standards are commonly required. Strong problem-solving, self-motivation, and clear communication skills help you work effectively in a remote, interdisciplinary environment. These abilities are crucial for developing accurate, regulatory-compliant solutions that improve healthcare outcomes while collaborating remotely with diverse teams.
What are the most commonly searched types of Biomedical Signal Processing Engineer jobs in Chicago, IL? The most popular types of Biomedical Signal Processing Engineer jobs in Chicago, IL are:
What are popular job titles related to Remote Biomedical Signal Processing Engineer jobs in Chicago, IL? For Remote Biomedical Signal Processing Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Signal Processing Engineer jobs in Chicago, IL look for? The top searched job categories for Remote Biomedical Signal Processing Engineer jobs in Chicago, IL are:
Remote Biomedical Signal Processing Engineer jobs near you
Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Posted 2 days ago

New

Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).