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Biomedical Algorithm Engineer Jobs (NOW HIRING)

Vital Connect Inc

Algorithm Engineer

CA · Remote

$145K - $175K/yr

Develop, analyze, implement, and optimize novel biomedical machine learning and deep learning ... engineering teams in the cloud and embedded implementation of algorithms. * Contribute to the ...

New

Draper

Senior Navigation Algorithm Engineer

Cambridge, MA · On-site

$82K - $220K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... The Senior Navigation Algorithm Engineer develops software for cutting-edge space and defense ...

Draper

Senior Navigation Algorithm Engineer

Cambridge, MA · On-site +1

$82K - $220K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... The Senior Navigation Algorithm Engineer develops software for cutting-edge space and defense ...

Apple

AI/ML Computer Vision Algorithm Engineer

Cupertino, CA · On-site

$137K - $162K/yr

Applied Mathematics, Physics or Biomedical Engineering) and a minimum of 3 years relevant industry ... algorithm development and integrationSelf-motivated, responsible, excellent written and verbal ...

Masimo

VP, Algorithm - AI

Irvine, CA

$254K - $320K/yr

D.) in Biomedical Engineering, Electrical Engineering, Computer Science, or related field * Track record of innovation, including publications, patents, or industry recognition in AI or algorithm ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA

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 ...

Masimo

VP, Algorithm - AI

Irvine, CA · On-site

$254K - $320K/yr

D.) in Biomedical Engineering, Electrical Engineering, Computer Science, or related field * Track record of innovation, including publications, patents, or industry recognition in AI or algorithm ...

Analogdevices

Senior Algorithms Engineer

Wilmington, MA

$114K - $156K/yr

Drive continuous improvement initiatives in algorithm robustness, noise immunity, and computational eficiency. Qualications Required * Bachelor's degree in Electrical Engineering, Biomedical ...

Analog Devices

Senior Algorithms Engineer

Wilmington, MA · On-site

$114K - $156K/yr

Drive continuous improvement initiatives in algorithm robustness, noise immunity, and computational eficiency. Qualifications Required * Bachelor's degree in Electrical Engineering, Biomedical ...

Masimo

Sr Engineer II, Algorithm (ECG)

Irvine, CA

$139K - $185K/yr

Bachelor's or Master's degree in Electrical Engineering, Biomedical Engineering, Computer ... Experience developing algorithms for multi-parameter cardiac monitoring systems. * Experience ...

Masimo

Sr Engineer II, Algorithm (ECG)

Irvine, CA · On-site

$139K - $185K/yr

Bachelor's or Master's degree in Electrical Engineering, Biomedical Engineering, Computer ... Experience developing algorithms for multi-parameter cardiac monitoring systems. * Experience ...

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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.
Algorithm Engineer

Algorithm Engineer

Vital Connect Inc

CA • Remote

$145K - $175K/yr

Other

Medical, Dental, Retirement

Posted 2 days ago

Job description

Description


Purpose


The Algorithm and Data Science team at VitalConnect is seeking an experienced Algorithm Engineer to help expand our product features and functionalities, driving a profound impact on patient lives and overall well-being. In this role, you will collaborate closely with a cross-functional R&D team to lead and support the development of advanced machine learning and deep learning algorithms deployed directly in our products. These algorithms are crucial to our mission and the continued success of the company. We are looking for an individual with a deep passion for the research and development of advanced physiological data analysis, who is eager to join a growing team dedicated to shaping the future of healthcare.


Responsibilities

  • Develop, analyze, implement, and optimize novel biomedical machine learning and deep learning algorithms using sensor data.
  • Own the end-to-end algorithm development lifecycle, encompassing data curation, model development, validation, deployment, and post-market monitoring.
  • Work cross-functionally to define sensor and algorithm specifications, design and development goals, and key performance targets.
  • Collaborate with sensor, firmware, mechanical, and software engineers to rapidly translate system concepts into functional prototypes.
  • Conduct advanced exploratory data analysis and data visualization.
  • Assist in designing small- and large-scale clinical studies to collect robust data for algorithm training and to demonstrate the feasibility of our technologies.
  • Clinically validate that algorithms meet intended use and performance requirements using disciplined scientific and statistical methodologies.
  • Support software and firmware engineering teams in the cloud and embedded implementation of algorithms.
  • Contribute to the corporate patent portfolio and author technical publications.

Requirements


Qualifications

  • Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with a strong emphasis on deep learning; OR an equivalent combination of education and relevant industry experience in medical, physiological, and/or fitness applications.
  • 4+ years of combined industry or academic experience applying advanced deep learning and machine learning algorithms to solve complex data science problems in real-world environments.

Knowledge and Training

  • Strong hands-on expertise with a wide variety of deep learning and machine learning architectures, including a deep understanding of their real-world advantages, limitations, and tuning techniques.
  • Demonstrated application of signal processing theory, with practical experience in signal acquisition, processing, and feature extraction from noisy data.
  • Solid grasp of advanced statistical techniques and concepts.
  • Proven experience designing studies to test scientific hypotheses with appropriate statistical power.
  • Familiarity working with physiological signals and a working knowledge of underlying human physiology is highly desired.
  • Ability to leverage and operationalize AI-assisted workflows (e.g., code generation, automated analysis, testing) to accelerate development cycles and improve overall system quality and reliability.
  • Experience with cloud platforms (e.g., AWS) and modern production deployment workflows.
  • Strong understanding of software engineering best practices, testing frameworks, and reproducibility requirements, particularly within regulated medical systems


Salary & Benefits

The estimated hiring salary range for this position is $145,000 - $175,000. * The actual salary will be based on a variety of job-related factors, including geography, skills, education and experience. The range is a good faith estimate and may be modified in the future. This role is also eligible for a range of benefits including medical, dental and 401K retirement plan.

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