Biomedical AI Data Scientist — Research & Impact

Cedars-Sinai; Los Angeles (CA); On-site; USD 110,000 - 160,000; Full time

Job summary

Cedars-Sinai AIMRC seeks a Research Data Scientist to lead computational methods for biomedical data, applying ML and statistics to therapy and diagnostics questions. You will query databases, perform cleaning and quality control, and deploy models for scientific insights.

You will train and deploy models using R, Python, SQL, and neo4j, publish findings in peer-reviewed venues, and contribute to a collaborative, cross-disciplinary team in Los Angeles.

Qualifications

• Bachelor's degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline is required.
• Master's degree in data science, computer science, bioinformatics, computational biology, statistics, or related quantitative field preferred.
• Two (2) years of professional experience in healthcare or pharmaceutical industries working with biomedical data required.
• Two (2) years of experience programming at an intermediate skill level with a high-level programming language such as R or Python required. College projects may be acceptable.
• Two (2) years of experience programming at a basic to intermediate proficiency level in SQL required.
• Experience in biomedical machine learning is preferred.
• Prior research data science experience preferred.
• Strong computational skills, particularly in Python/R, and experience working with biomedical or other large-scale datasets would be valuable.

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.

Skills

Python

R

SQL

Machine Learning

Data Mining

Statistics

Data Visualization

Education

Bachelor's degree in CS/ML/Math/related

Master's degree in data science/CS/bioinformatics

Tools

GitHub

Neo4j

Job description

Cedars-Sinai AIMRC seeks a Research Data Scientist to lead computational methods for biomedical data, applying ML and statistics to therapy and diagnostics questions. You will query databases, perform cleaning and quality control, and deploy models for scientific insights.

You will train and deploy models using R, Python, SQL, and neo4j, publish findings in peer-reviewed venues, and contribute to a collaborative, cross-disciplinary team in Los Angeles.