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Biomedical Algorithm Engineer Jobs (NOW HIRING)

Align Technology

Staff R&D Engineer-Algorithm

San Jose, CA · On-site

$210K - $288K/yr

Staff R&D Engineer-Algorithm Department: Research & Development Employment Type: Full Time Location ... Familiarity with industry best practices and academic research in digital health, biomedical ...

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Masimo

Principal Engineer, Algorithm - ECG

Irvine, CA · On-site

$170K - $215K/yr

The Principal Engineer, Algorithm - ECG is a senior technical leader responsible for the ... Bachelor's degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, or a ...

Danaher

Staff Algorithm Developer - Onsite

Sunnyvale, CA · On-site

$190K - $210K/yr

The Staff Algorithm Development Engineer is responsible for working on projects that involve ... biomedical sensor data. * Work with cross-discipline teams on new product introduction projects ...

Masimo

Principal Engineer, Algorithm - ECG

Irvine, CA

$170K - $215K/yr

The Principal Engineer, Algorithm - ECG is a senior technical leader responsible for the ... Bachelor's degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, or a ...

Eko

Senior Algorithms Engineer

Emeryville, CA · On-site

$120K - $165K/yr

Own the f ull algorithm lifecycle : from clinical requirements and dataset curation through model ... Publications, patents, or open-source contributions in signal processing, biomedical ML, or ...

Eko

Senior Algorithms Engineer

Emeryville, CA

$120K - $165K/yr

Own the f ull algorithm lifecycle : from clinical requirements and dataset curation through model ... Publications, patents, or open-source contributions in signal processing, biomedical ML, or ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA · On-site

$184K - $210K/yr

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

Eko

Senior Algorithms Engineer

Emeryville, CA · On-site

$120K - $165K/yr

Own the f ull algorithm lifecycle : from clinical requirements and dataset curation through model ... Publications, patents, or open-source contributions in signal processing, biomedical ML, or ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA · On-site

$184K - $210K/yr

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

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Biomedical Algorithm Engineer information

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$41K

$94.8K

$140K

How much do biomedical algorithm engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for biomedical algorithm engineer in the United States is $94,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What are Biomedical Algorithm Engineers?

Biomedical Algorithm Engineers are professionals who design, develop, and implement computational algorithms to solve problems in the biomedical and healthcare fields. They work on processing and analyzing complex biological and medical data, such as medical images, genetic information, and physiological signals. Their work often contributes to advancements in diagnostics, personalized medicine, and medical devices by creating software that can interpret data for clinical or research purposes.

What is the difference between Biomedical Algorithm Engineer vs Biomedical Data Scientist?

AspectBiomedical Algorithm EngineerBiomedical Data Scientist
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of algorithms and programmingDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, medical device companies, biotech firmsHealthcare institutions, research organizations, biotech companies
Industry UsageDevelops algorithms for medical devices, imaging, diagnosticsAnalyzes healthcare data, patient records, clinical trial data

While both roles involve working with healthcare data and algorithms, Biomedical Algorithm Engineers focus on creating algorithms for medical devices and imaging, whereas Biomedical Data Scientists analyze large healthcare datasets to extract insights. The roles often overlap but serve different primary functions within the biomedical industry.

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

To thrive as a Biomedical Algorithm Engineer, you need a solid background in biomedical engineering, computer science, and applied mathematics, typically supported by a relevant degree and experience in algorithm development. Familiarity with programming languages like Python or MATLAB, experience using machine learning frameworks, and knowledge of medical data standards are commonly required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex technical concepts clearly are essential soft skills. These competencies ensure effective development and validation of algorithms that drive innovation and accuracy in biomedical technologies.

How do Biomedical Algorithm Engineers typically collaborate with clinicians and researchers during the development of medical solutions?

Biomedical Algorithm Engineers often work closely with clinicians and researchers to ensure their algorithms address real-world medical needs and are clinically relevant. They participate in interdisciplinary meetings, gather domain-specific requirements, and iterate on algorithm designs based on expert feedback. Effective communication is key, as engineers must translate complex technical findings into actionable insights for non-technical stakeholders. This collaborative approach not only improves algorithm performance but also accelerates the process of validating and deploying solutions in clinical settings.
Infographic showing various Biomedical Algorithm Engineer job openings in the United States as of May 2026, with employment types broken down into 62% Full Time, 31% Part Time, 2% Contract, and 5% Nights. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $94,807 per year, or $45.6 per hour.

Staff R&D Engineer-Algorithm

Align Technology

San Jose, CA • On-site

Full-time

Posted yesterday

Job description

Job Summary:
Align Technology is seeking a Staff R&D Engineer - Algorithm with expertise in wearable IoT technologies and machine learning to lead the development of advanced algorithms for health and wellness products. The role involves driving end-to-end algorithm development, collaborating with cross-functional teams, and ensuring the robustness of algorithms through validation with real-world datasets.
Responsibilities:
• Lead the research, design, development, and optimization of algorithms for health and wellness monitoring using data from wearable sensors.
• Architect robust signal processing and machine learning pipelines for physiological metrics.
• Evaluate sensor signal quality, integrity, and reliability to ensure accurate data interpretation and algorithm performance.
• Collaborate cross-functionally with hardware, firmware, and software teams to ensure accurate, efficient, and scalable algorithm deployment.
• Validate algorithms with real-world and clinical-grade datasets, ensuring robustness across diverse populations and use cases.
• Contribute to the strategic direction of algorithm development, bringing in best practices from academic research and industry trends.
• Support optimization of algorithms for real-time, on-device execution on low-power embedded systems.
• Enable flexible deployment of algorithms both on-device and in the cloud, ensuring scalability, maintainability, and performance across platforms.
Qualifications:
Required:
• BS with 10+ years, MS with 8+ years, PhD in Electrical Engineering, Biomedical Engineering, Computer Science, or related field.
• Hands-on industry experiences developing and deploying algorithms for wearable or IoT-based health and fitness products.
• Deep expertise in signal processing, machine learning, and physiological data analysis (e.g., PPG, ECG, accelerometry).
• Strong experience working with wearable sensors and evaluating sensor signal quality and integrity.
• Strong knowledge of embedded system constraints and experience optimizing for real-time or low-power devices.
• Proven ability to work cross-functionally with hardware, firmware, and software teams to bring algorithms from concept to production.
• Experience validating algorithms using real-world and clinical-grade datasets.
• Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.
• Familiarity with industry best practices and academic research in digital health, biomedical engineering, or related fields.
• Excellent problem-solving skills, a collaborative mindset, and a passion for improving lives through technology.
• Strong implementation skills, including translating algorithmic concepts into efficient, maintainable, and scalable code using Python.
• Strong interpersonal, oral, written, and visual communication skills, with ability to present findings concisely and effectively.
Preferred:
• Experience in regulated environments (e.g., FDA, CE-marked devices) or familiarity with clinical validation studies is a plus.
Company:
Align Technology, Inc. designs, manufactures, and markets the invisalign system for treating malocclusion or the misalignment of teeth. Founded in 1997, the company is headquartered in Tempe, USA, with a team of 10001+ employees. The company is currently Late Stage.

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