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Biomedical Algorithm Engineer Jobs (NOW HIRING)

Oura

Senior Algorithm Scientist

San Diego, CA · On-site

$97K - $132K/yr

We are looking for a Senior Algorithm Scientist to develop and validate the next generation of ... biomedical engineering, electrical engineering, neural engineering or a related field * 3+ years of ...

Masimo Wearables

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$110K - $152K/yr

They are seeking a Sr Engineer in AI/Machine Learning to develop advanced algorithms and models for biomedical signal processing, working closely with cross-functional teams to enhance product ...

Ōura

Senior Algorithm Scientist

San Diego, CA · On-site +1

$97K - $132K/yr

We are looking for a Senior Algorithm Scientist to develop and validate the next generation of ... biomedical engineering, electrical engineering, neural engineering or a related field * 3+ years of ...

Apple

Machine Learning Engineer

San Diego, CA · On-site

You will work across the full algorithm lifecycle including data strategy, modeling, evaluation, optimization, and deployment. Bachelors degree in Computer Science, Electrical Engineering, Biomedical ...

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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.
Biomedical Data Science Engineer - Health Technologies

Biomedical Data Science Engineer - Health Technologies

Apple

San Diego, CA • On-site

$59.25 - $78.25/hr

Full-time

Posted 23 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Health Technologies Team conceives and proves out exciting new technology for Apple's future products and features. In this role, you can be involved in the end-to-end new product development cycle for health and wellness technologies, from product ideation and feasibility assessment to algorithm implementation and product validation. Join our team to create extraordinary features that represent the cutting edge of innovation in the dynamic consumer health field...
In this role, you'll collaborate with multidisciplinary teams to create innovative health products and features. As a biomedical data scientist, your responsibilities will include: -design and support of lab and human studies ranging from small scale pilot investigations to large scale sensor fusion studies-distill and interpret study findings to assess system performance and confounders-define and evaluate sensor feasibility criteria, including KPI development, mapping user experience requirements to sensor specifications-develop analysis tools to evaluate and interpret physiological time series sensor data-design, implement, and validate physiological models and algorithms-develop data visualization strategies for sharing complex data and study findings to influence project decisions and direction. The role requires effective collaboration with team members spanning a broad range of expertise and disciplines. Flexible thinking, adaptability to change, comfort with ambiguity, and ability to work both independently as well as in a team setting are hallmarks of success on our team.
MS in Biomedical engineering or other engineering discipline with relevant prior experience with time-series physiological sensors, devices, and applications.Must have a strong understanding of human physiology coupled with experience in the use of multi-sensor systems to measure, characterize, and analyze time-series physiological signals. Must have experience using Python to process, analyze, and visualize data. Must be facile with the corresponding Python tools (e.g., matplotlib, plotly, tableau, etc.). Must be highly organized and able to thrive in a fast-paced environment. Must have excellent communication skills.
PhD in Biomedical engineering or other engineering discipline with relevant prior experience.Experience with deep learning frameworks (e.g., PyTorch) including model training, loss function design, optimization, and cross-validation.Experience with statistical testing methods and their application to experimental data analysis.Experience with distributed processing frameworks (e.g., Spark, Dask) for large-scale data workflows.Experience with data management, organization, storage, and retrieval.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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