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Biomedical Data Scientist Jobs (NOW HIRING)

Master's degree in data science, biostatistics, computer science, biomedical engineering or a related field and a minimum of 3 years' experience in medical technology or a related industry; or a ...

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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 ...

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Biomedical Data Scientist information

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How much do biomedical data scientist jobs pay per year?

As of Jun 18, 2026, the average yearly pay for biomedical data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What Does a Biomedical Data Scientist Do?

The job of a biomedical data scientist is to research and analyze biological data for use in medicine. As a biomedical data scientist, you perform analysis using industry-standard methodologies. Your responsibilities are to record information in a database. Other duties include using this data to produce a new product or peer-reviewed paper. As a biomedical data scientist, you may also develop new research methods or tools. It is your job to create coherent reports based on your research and analysis of raw data. This type of research is used to help develop advances in medicine.

What is the job of a biomedical?

A biomedical data scientist analyzes biological and medical data to support research, diagnosis, and treatment development. They use skills in data analysis, programming, and statistical modeling, often working with large datasets and tools like Python or R in healthcare or research environments.

What is the salary of a bioengineer in the US?

A biomedical data scientist's salary can vary based on experience, education, and location, but bioengineers in the US typically earn between $60,000 and $100,000 annually. Advanced roles or those with specialized skills may offer higher compensation, especially in research or industry settings.

What are some typical challenges faced by Biomedical Data Scientists when working with healthcare data?

Biomedical Data Scientists often encounter challenges related to the complexity and variability of healthcare data, such as dealing with missing values, inconsistent formats, and integrating data from multiple sources like electronic health records, genomics, and imaging. Ensuring data privacy and compliance with regulations like HIPAA is also a critical consideration. Collaborating closely with clinicians and researchers to translate data findings into actionable insights can require strong communication skills and a good understanding of medical terminology. Overcoming these challenges is key to developing robust, impactful models that support healthcare advancements.

What jobs can you get with biomedical science?

A biomedical science degree prepares individuals for various roles such as biomedical scientist, clinical researcher, laboratory technician, or research associate. These jobs typically require skills in laboratory techniques, data analysis, and knowledge of biological systems, often utilizing tools like microscopes and statistical software.

What does biomedical mean?

Biomedical refers to the field that combines biology and medicine to develop healthcare solutions, including medical research, diagnostics, and treatments. A biomedical data scientist works with biological and medical data, often using tools like statistical analysis and machine learning to improve healthcare outcomes.

What are the key skills and qualifications needed to thrive as a Biomedical Data Scientist, and why are they important?

To thrive as a Biomedical Data Scientist, you need a strong background in statistics, biology, and computer science, often supported by an advanced degree in a related field. Proficiency with programming languages like Python or R, data analysis platforms, and experience using bioinformatics tools and machine learning frameworks are typically required. Exceptional problem-solving, collaboration, and communication skills help translate complex data into actionable biomedical insights. These skills ensure accurate analysis and interpretation of biomedical data, driving impactful research and innovation in healthcare.

What are biomedical data scientists?

Biomedical data scientists are professionals who apply data science techniques to biomedical research and healthcare. They analyze large sets of biological and medical data to uncover patterns, make predictions, and support scientific discoveries or medical decisions. Their work involves using computational tools, statistical methods, and machine learning to interpret complex datasets, such as genomics, clinical trials, or electronic health records. Biomedical data scientists often collaborate with biologists, clinicians, and other researchers to improve healthcare outcomes and advance medical knowledge.
What cities are hiring for Biomedical Data Scientist jobs? Cities with the most Biomedical Data Scientist job openings:
What are the most commonly searched types of Biomedical Data Scientist jobs? The most popular types of Biomedical Data Scientist jobs are:
What states have the most Biomedical Data Scientist jobs? States with the most job openings for Biomedical Data Scientist jobs include:
Infographic showing various Biomedical Data Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.
Research Data Scientist - Ajami Lab - Department of Neurology

Research Data Scientist - Ajami Lab - Department of Neurology

Cedars Sinai

West Hollywood, CA • On-site

$94K - $161K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

36th of 1,000 rated hospitals


Job description

Job Description
Grow your career at Cedars-Sinai!
Data is vital to advance clinical knowledge across a spectrum of medical and surgical fields. Are you ready to transform data discoveries into valuable information, which will empower tomorrow's medicine?
Dr. Bahareh Ajami invites you to consider this Research Data Scientist opportunity to join her dynamic team!
About the Team
The Ajami Lab is establishing a new research program at Cedars-Sinai focused on immune mechanisms driving neuro-degeneration, with a particular emphasis on ALS and microglial biology.
About the Role
The Research Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and/or application of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data processing, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and leading the 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:
  • Leads 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.
  • Leads 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, neo4j).
  • Creates sustainable data science infrastructure and adheres to data analysis/machine learning standards.
  • Performs data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
  • Leads discussions with senior and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
  • Tests and validates code to ensure robustness of data applications with version control through GitHub.
  • Performs all other duties as assigned.

Qualifications
Education:
  • Bachelor's degree in Computer Science, Machine Learning, Applied Mathematics, Biomedical Imaging, Statistics, Engineering, Physics, or related field, required.
  • Master's degree in these fields is preferred.

Experience and Skills:
  • 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 R or Python. College projects may be acceptable.
  • Experience programming at a basic to intermediate proficiency level in SQL.

About Us
Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents.
About the Team
Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most.

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