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Biomedical Machine Learning Jobs (NOW HIRING)

CoVar

Machine Learning Engineer

Durham, NC

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find ...

Natera

OR

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This ... Design, implement, and evaluate deep learning models across biomedical data modalities, including ...

Natera

Machine Learning Scientist, Multimodal AI

$124K - $171K/yr

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This ... Design, implement, and evaluate deep learning models across biomedical data modalities, including ...

Apple

Machine Learning Engineer

San Diego, CA · On-site

Minimum Qualifications Bachelors degree in Computer Science, Electrical Engineering, Biomedical ... Strong foundation in machine learning, statistics, signal processing, or applied mathematics for ...

Vital Connect Inc

Algorithm Engineer

CA · Remote

$145K - $175K/yr

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 ...

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two ... Experience working with clinical, biomedical, or other regulated datasets Why Join Latent Health

Harvard University

Machine Learning Engineer

Boston, MA · On-site +1

You'll be at the heart of biomedical discovery, education, and innovation, working alongside world ... Transform machine learning models into APIs to interact with other applications. * Use expert ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site

$60/hr

You'll be at the heart of biomedical discovery, education, and innovation, working alongside world ... Transform machine learning models into APIs to interact with other applications. * Use expert ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

About the Role We're seeking a talented Machine Learning Researcher to join our core R&D team. This ... D.) in Computer Science or a related domain (e.g., AI, Computational Neuroscience, Biomedical ...

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Biomedical Machine Learning information

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How much do biomedical machine learning jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for biomedical machine learning in the United States is $28.53, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $32.21 per hour, depending on experience, location, and employer.

What is a Biomedical Machine Learning job?

A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.

What does a typical day look like for someone in a Biomedical Machine Learning role?

A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.

What are the key skills and qualifications needed to thrive in the Biomedical Machine Learning position, and why are they important?

To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.

More about Biomedical Machine Learning jobs
What cities are hiring for Biomedical Machine Learning jobs? Cities with the most Biomedical Machine Learning job openings:
What are the most commonly searched types of Biomedical Machine Learning jobs? The most popular types of Biomedical Machine Learning jobs are:
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Biomedical Machine Learning jobs near you
Infographic showing various Biomedical Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, 1% Contract, and 1% Summer. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $59,333 per year, or $28.5 per hour.
Group 2-24 | Co-Op | Biomedical & Physiological Signal Processing & Machine Learning | Jun-Dec 2026

Group 2-24 | Co-Op | Biomedical & Physiological Signal Processing & Machine Learning | Jun-Dec 2026

MIT Lincoln Laboratory

Lexington, MA

$21.50 - $25/hr

Other

Posted 10 days ago

Job description

The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.

Position Description

Our team is looking for a Co-Op student with an interest in solving challenging AI/ML problems using biomedical signal processing and wearable technology. Through this opportunity, you will work with a multi-disciplinary team

consisting of engineers, scientists, and clinicians to prepare and process large biomedical and physiological datasets (e.g.,PPG, accelerometry, EOG, EEG, commercial-off-the-shelf wearable data, etc), develop and evaluate machine learning algorithms, and implement data visualization tools for advanced prediction and inference of physiological status (i.e. fatigue, illness, stress, etc). We are looking for students who are self-motivated

and interested in signal processing, machine learning, deep learning, statistical pattern recognition, and high-performance computing.

Requirements/Skills

  • The candidate is a student in a B.S., M.S., or Ph.D. program in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree.
  • Experience with Python, MATLAB and machine learning (coursework or practical)

Preferred (not required)

  • Biomedical signal processing and/or time series analysis experience
  • Experience with Python and deep learning libraries like: Pytorch, JAX, and/or keras
  • Interest in AI meta-learning, foundation models / self-supervised learning, continual learning, one-shot and/or transfer learning

Compensation for 2026

  • Technical Co-Op: $24.50 - $31.00 per hour (based on year in school)
  • Administrative Co-Op: $21.50 - $25.00 per hour (based on year in school)

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

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