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Biomedical Lab information

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$15

$28

$38

How much do biomedical lab jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for biomedical lab in California is $28.15, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $31.78 per hour, depending on experience, location, and employer.

What is a Biomedical Lab?

A Biomedical Lab is a specialized facility where scientific research and experiments related to biology, medicine, and health sciences are conducted. These labs are equipped with advanced instruments and technologies to study diseases, develop medical treatments, and analyze biological samples. Biomedical labs play a crucial role in advancing our understanding of the human body and improving healthcare by supporting research in areas such as genetics, microbiology, and pharmacology.

What do biomedical labs do?

Biomedical labs conduct research and testing to understand biological processes and develop medical solutions. They perform experiments, analyze samples, and use specialized equipment to support healthcare, diagnostics, and scientific advancements.

What is the difference between Biomedical Lab vs Medical Laboratory Technician?

AspectBiomedical LabMedical Laboratory Technician
CredentialsBachelor's degree in biomedical science or related fieldAssociate's degree or certification in medical laboratory technology
Work EnvironmentResearch labs, biotech companies, hospitalsHospitals, clinics, diagnostic labs
Job FocusResearch, development, and testing of biomedical productsPerforming diagnostic tests on patient samples
Industry UsageResearch institutions, biotech firms, healthcareHealthcare facilities, diagnostic labs

While both roles work within laboratory settings, Biomedical Lab professionals focus on research and development in biomedical sciences, often requiring a bachelor's degree. Medical Laboratory Technicians primarily perform diagnostic testing in clinical environments, usually with an associate's degree or certification. Understanding these differences helps in choosing the right career path or job search focus.

What are some common challenges faced by professionals working in a biomedical lab, and how can they be addressed?

Professionals in biomedical labs often encounter challenges such as maintaining strict adherence to safety protocols, managing time-sensitive experiments, and troubleshooting complex equipment. Staying organized and following standard operating procedures can help minimize errors and ensure reliable results. Regular communication with team members is also essential for addressing unexpected issues and sharing troubleshooting strategies. Participating in ongoing training and staying updated on new technologies can further enhance efficiency and problem-solving skills in the lab environment.

What can I do with a biomedical laboratory science degree?

A biomedical laboratory science degree prepares individuals to work as medical laboratory technologists or scientists, performing diagnostic tests on patient samples to assist in disease detection and treatment. Graduates often work in hospitals, clinics, or research labs, using tools like microscopes and laboratory equipment, and may need certification or licensing depending on the region. The role involves attention to detail, understanding of biology and chemistry, and adherence to safety protocols.

What are the key skills and qualifications needed to thrive in a Biomedical Laboratory role, and why are they important?

To thrive in a Biomedical Laboratory role, you need a solid understanding of biological sciences, laboratory techniques, and typically a degree in biomedical science or a related field. Familiarity with laboratory information management systems (LIMS), PCR machines, spectrophotometers, and relevant safety certifications is often required. Attention to detail, analytical thinking, and effective communication are essential soft skills for accurate data interpretation and teamwork. These skills ensure precise experimental results, maintain safety standards, and support successful research outcomes.

What jobs pay 10,000 a month without a degree?

In the biomedical lab field, most roles require relevant education or certifications; however, some high-paying technical or supervisory positions may reach or exceed $10,000 monthly with experience, such as lab managers or senior technicians. These roles often demand specialized skills, industry experience, and sometimes certifications, but typically do not require a traditional degree.

What is the highest paid lab job?

In biomedical laboratories, the highest paid roles are often senior positions such as Laboratory Directors or Principal Investigators, who oversee research and operations. These roles typically require advanced degrees, extensive experience, and leadership skills, with salaries often exceeding six figures annually.
What are popular job titles related to Biomedical Lab jobs in California? For Biomedical Lab jobs in California, the most frequently searched job titles are:
What job categories do people searching Biomedical Lab jobs in California look for? The top searched job categories for Biomedical Lab jobs in California are:
What cities in California are hiring for Biomedical Lab jobs? Cities in California with the most Biomedical Lab job openings:
Biomedical Lab jobs near you
Infographic showing various Biomedical Lab job openings in California as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 12% Part Time, 1% Temporary, and 12% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $58,556 per year, or $28.2 per hour.
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 19 days ago

Key responsibilities

  • Assists with the development, evaluation, and application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.

  • Creates database-to-deployment pipelines for models using programming languages such as R, Python, and SQL.

  • Assists with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.

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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