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How much do biomedical data science faculty jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for biomedical data science faculty 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 are Biomedical Data Science Faculty?

Biomedical Data Science Faculty are academic professionals who teach, conduct research, and provide mentorship in the field of biomedical data science. Their work involves applying computational, statistical, and data-driven approaches to solve complex biological and medical problems. They often collaborate with scientists, clinicians, and other researchers to analyze large datasets, develop algorithms, and advance healthcare discoveries. These faculty members typically hold positions at universities or research institutions and contribute to the development of educational programs and research initiatives in biomedical data science.

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

To thrive as a Biomedical Data Science Faculty, you need a strong background in data science, statistics, and biological sciences, typically supported by a PhD or equivalent research experience. Expertise in programming languages (such as Python or R), machine learning platforms, and familiarity with high-throughput data analysis tools is essential, as is experience with research publication and grant writing. Excellent communication, collaboration, and mentoring abilities help foster student development and interdisciplinary research. These skills and qualities are vital for advancing scientific discovery, securing funding, and effectively educating the next generation of data scientists in biomedical research.

What are the main collaborative opportunities for a Biomedical Data Science Faculty member within a university setting?

Biomedical Data Science Faculty members frequently collaborate with colleagues across disciplines, including biology, medicine, computer science, and public health. These collaborations often involve joint research projects, co-supervision of graduate students, and interdisciplinary grant applications. Faculty members may contribute their expertise in data analysis and computational methods to support clinical research or large-scale biological studies, fostering an environment of innovation and shared discovery. Such collaboration not only enhances research impact but also provides valuable networking and professional growth opportunities.
Research Associate Data Scientist - Ajami Lab - Department of Neurology

Research Associate Data Scientist - Ajami Lab - Department of Neurology

Cedars Sinai

West Hollywood, CA

$66K - $67K/yr

Other

Posted 12 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

35th of 994 rated hospitals

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 Associate 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 Associate Data Scientist participates in biomedical research projects using programming, data -mining, statistics, machine learning, and visualization techniques to assist with the development, evaluation, and/or applications of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and assisting with 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:

  • 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, neo4j).
  • Creates sustainable data science infrastructure and adheres to data analysis/machine learning standards.
  • Performs data cleaning, quality control, and exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods
  • Assists research, senior research, 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 adaptability of data applications with version control through GitHub.
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.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.

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:

  • 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 R or Python. College projects may be acceptable.
  • Experience programming at a basic to intermediate proficiency level in SQL
  • Experience in biomedical machine learning is preferred.

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