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Biomedical Machine Learning Jobs in California (NOW HIRING)

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 ...

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

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 ...

Apple

Machine Learning Engineer

San Diego, CA

$142K - $263K/yr

... Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience. Strong foundation in machine learning, statistics, signal processing, or applied ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems * Design, train and evaluate machine learning models using large ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems * Design, train and evaluate machine learning models using large ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Experience in applying AI/ML to biomedical data * Experience with computer vision and/or robotics

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Experience in applying AI/ML to biomedical data * Experience with computer vision and/or robotics

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Biomedical Machine Learning information

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.

What are the most commonly searched types of Biomedical Machine Learning jobs in California? The most popular types of Biomedical Machine Learning jobs in California are:
What are popular job titles related to Biomedical Machine Learning jobs in California? For Biomedical Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Biomedical Machine Learning jobs in California look for? The top searched job categories for Biomedical Machine Learning jobs in California are:
What cities in California are hiring for Biomedical Machine Learning jobs? Cities in California with the most Biomedical Machine Learning job openings:
Biomedical Machine Learning jobs near you
Infographic showing various Biomedical Machine Learning job openings in California as of July 2026, with employment types broken down into 2% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
Research Associate Data Scientist - Omar Lab - Computational Biomedicine

Research Associate Data Scientist - Omar Lab - Computational Biomedicine

Cedars Sinai

West Hollywood, CA • On-site

$78K - $133K/yr

Full-time

Posted 26 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

34th of 1,004 rated hospitals

Job description


Join us as we translate today's discoveries into tomorrow's medicine!
The Department of Computational Medicine (CBM) is a robust infrastructure established to develop, evaluate, and apply cutting-edge computational and statistical methods and software for the analysis of biomedical and clinical data across the Cedars-Sinai enterprise.
The Omar Lab is dedicated to developing robust AI-powered tools to forecast the risk of adverse clinical outcomes in cancer patients at early stages. We use standard clinical data-primarily histopathology and radiology images-to build cost-effective, accurate tools for personalized cancer risk assessment and management. Our research leverages the tumor microenvironment to extract high-quality spatial and molecular features that guide our training process, guarding against overfitting. To learn more, please visit: Omar Lab | Cedars-Sinai.
Are you ready to be a part of breakthrough research?
The Research Associate Data Scientist participates in biomedical research projects using programming, data -mining, statistics, machine -learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production models, and communication of scientific findings via peer-reviewed publications and scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
Primary Duties & Responsibilities:
  • Assists with the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
  • Assists with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
  • Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL).
  • Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
  • Performs exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
  • Works with senior or lead data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
  • Keeps appropriate analytical records, documentation, and software version control.
  • Performs all other duties as assigned.

Department-Specific Responsibilities:
  • Participates in the development of innovative algorithms and analytical methods.
  • Participates in the evaluation and interpretation of all analytical methods and results.
  • Participates in the oral and written communication of scientific results including publications.
  • Participates in analytical training activities for faculty, staff, and students.

Qualifications
Education:
  • Bachelor's degree in Computer Sciences, Machine Learning, Applied Mathematics, Econometrics, Statistics, Engineering, Physics, or related field, required. Master's degree, preferred.

Experience and Skills:
  • Up to two (2) years of professional experience in healthcare or pharmaceutical industries working with biomedical data.
  • Experience programming at an intermediate skill level with a high-level programming language such as Python. College projects may be acceptable.
  • Experience programming in R, Python, or Linux bash and genetics and genomics data analysis preferred.
  • Experience in biomedical machine learning is preferred.
  • Working knowledge of data privacy and security including best practices for data with personal health identifiers (PHI) covered under HIPAA.
  • Strong interpersonal and communication skills. And has full command (verbal and written) of the English language.
  • Demonstrates commitment to customer service and an ability to meet the needs and expectations of patients and health care colleagues.
  • Demonstrated success working independently, forging relationships, and managing multiple tasks with minimal directions.
  • Ability to promote and foster participation/collaboration among individuals and groups.
  • Ability to handle multiple demands and/or manage complex and competing priorities.
  • Ability to analyze qualitative and quantitative information for decision support.
  • High level of proficiency using Microsoft Windows and other Microsoft Office software: MS Excel, Outlook, Powerpoint Word, etc.
  • Must be able to manage competing priorities, while being extremely adaptable and flexible and maintaining a positive work environment.

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