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Manager Biomedical Research Jobs in California (NOW HIRING)

... biomedical research with state-of-the-art drug discovery and development capabilities. Calibr ... Manage laboratory databases and perform routine laboratory maintenance to ensure efficient ...

... biomedical research with state-of-the-art drug discovery and development capabilities. Calibr ... Manage laboratory databases and perform routine laboratory maintenance to ensure efficient ...

... biomedical research with state-of-the-art drug discovery and development capabilities. Calibr ... Strong organizational and time management skills. ADDITIONAL INFORMATION: * A letter of ...

... biomedical research with state-of-the-art drug discovery and development capabilities. Calibr ... Strong organizational and time management skills. ADDITIONAL INFORMATION: * A letter of ...

Working with diverse teams to improve data transfer, management, and analysis systems * Helping establish best practices for AI-assisted data science in biomedical research Qualifications Required ...

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Manager Biomedical Research information

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Infographic showing various Manager Biomedical Research job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Temporary, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Research Data Scientist - Urology, Hung Lab

Cedars Sinai

West Hollywood, CA • On-site

$96K - $164K/yr

Full-time

Posted 13 days ago


Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

43rd of 1,064 rated hospitals


Job description


Dr. Andrew Hung is looking for a Research Data Scientist to join a diverse team!
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.
Principal 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 best practices.
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, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline - Required.
Master's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline- Preferred
Work Experience:
2 years of professional experience in healthcare or pharmaceutical industries working with biomedical data - Required.
2 years of Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable - Required.
2 years of Experience programming at a basic to intermediate proficiency level in SQL - Required.
No experience required Experience in biomedical machine learning is preferred

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