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Ecg Signal Processing Jobs (NOW HIRING)

Research Manager

Burlingame, CA · On-site

$219K - $301K/yr

Our team uses machine learning and statistical signal processing tools to advance our pioneering ... ECG), photoplethysmography (PPG), capacitive sensing, electromyography, etc) • Demonstrated ...

Research Manager

Burlingame, CA · On-site

$219K/yr

Our team uses machine learning and statistical signal processing tools to advance our pioneering ... ECG), photoplethysmography (PPG), capacitive sensing, electromyography, etc) * Demonstrated ...

Showing results 21-40

Ecg Signal Processing information

See salary details

$53.5K

$131.3K

$193.5K

How much do ecg signal processing jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ecg signal processing in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What is ECG signal processing?

ECG signal processing refers to the techniques and methods used to analyze and interpret the electrical signals produced by the heart, as captured by an electrocardiogram (ECG). This field involves filtering noise, detecting specific waveforms (such as P, QRS, and T waves), and extracting features to assist in diagnosing heart conditions. Modern ECG signal processing often utilizes digital algorithms and machine learning to improve accuracy and automate analysis. Professionals in this area may work in healthcare, biomedical engineering, or research to enhance cardiac monitoring and diagnosis.

What are the key skills and qualifications needed to thrive in ECG signal processing?

To thrive as an ECG Signal Processing Specialist, you need a strong background in biomedical engineering, signal processing, and a relevant degree in engineering or a related field. Proficiency with MATLAB, Python, LabVIEW, and experience with ECG analysis software and signal filtering techniques are typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional professionals apart. These abilities ensure accurate analysis of cardiac data, support clinical decision-making, and drive innovation in medical diagnostics.

What are some common challenges faced in ECG signal processing roles and how can they be addressed?

Professionals in ECG Signal Processing often encounter challenges such as dealing with noisy data, accurately detecting cardiac events, and managing large volumes of physiological signals. Addressing these issues typically involves applying advanced filtering techniques, leveraging machine learning algorithms, and continuously validating signal processing methods with clinical data. Collaborating closely with clinicians and multidisciplinary teams helps ensure that the algorithms meet real-world medical requirements and regulatory standards.

What is the difference between Ecg Signal Processing vs Ecg Technician?

AspectEcg Signal ProcessingEcg Technician
Required CredentialsKnowledge of signal processing, engineering skills, possibly a degree in biomedical engineering or related fieldCertification or diploma in ECG technology or healthcare training
Work EnvironmentResearch labs, medical device companies, healthcare technology firmsHospitals, clinics, outpatient facilities
Employer & Industry UsageDevelops algorithms, analyzes ECG data, improves diagnostic toolsPerforms ECG tests, operates ECG machines, assists in patient care

While Ecg Signal Processing focuses on analyzing ECG data through technical and engineering methods, Ecg Technicians are responsible for performing ECG tests and ensuring accurate data collection. Both roles are essential in cardiac diagnostics but differ in their focus and skill sets.

What other helpful pages are available for Ecg Signal Processing?

Other pages related to Ecg Signal Processing:

Infographic showing various Ecg Signal Processing job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $131,349 per year, or $63.1 per hour.

R&D Research Algorithm & Data Science Intern

Saint Paul, MN • On-site

Other

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

R&D Engineer Intern

At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing – whatever your ambitions.

At Boston Scientific, we value collaboration and synergy. This role follows an onsite work model, requiring employees to be in our local office at least five days per week.

Relocation and housing assistance may be available to those who meet the eligibility criteria.

Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time.

We will consider qualified applicants of all ages who are starting (or restarting) their careers.

Our R&D engineers are tasked with designing and developing implant products for the Active Implantable Systems (AIS) group. This includes technologies that monitor, support diagnosis and treat irregular heart rhythms, heart failure, and sudden cardiac arrest. AIS provides devices and therapies for a patient's entire continuum of care, from diagnostic to treatment. This division strives to innovate and create a paradigm shift that can solve unmet clinical needs and change what is possible for patients.

Your responsibilities will include:

  • Develop deep learning models to predict cardiac events using ECG and other physiological signals
  • Apply signal processing techniques to clean, analyze, and interpret biosignals for device diagnostics and monitoring
  • Support the design of AI/ML algorithms that enhance implantable device performance and patient outcomes
  • Collaborate with engineers to integrate Python-based tools for data analysis, simulation, and model validation
  • Contribute to feasibility studies exploring novel diagnostic features for heart rhythm detection
  • Analyze large datasets from implantable devices to identify patterns and inform next-generation therapy development

Required Qualifications:

  • Currently pursuing a PhD in Medical Informatics
  • Prior Boston Scientific internship in AIS R&D department
  • Must be able to start internship on May 17th or 24th, 2027 and work for 12 weeks
  • Must have reliable transportation to/from work.

Preferred Qualifications:

  • Demonstrated ability to build and refine algorithms using statistical and analytical methods for data-driven innovation.
  • Proficient in Python, Kotlin, or Java, with hands-on experience using MATLAB for algorithm development, simulation, or signal processing
  • Experience with AI/ML and deep learning-based prediction model development
  • Experience working with/studying Electrocardiogram (ECG) and physiological signals using signal processing
  • Medical device industry experience
  • Excellent communication and collaboration skills

Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs.

Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare.

Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.

Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.