Research Associate Data Scientist

Cedars-Sinai; Los Angeles (CA); On-site; USD 80,000 - 136,000; Full time

Job summary

Cedars-Sinai's Ajami Lab in Los Angeles invites applications for a Research Associate Data Scientist. You will support biomedical research by applying programming, data mining, statistics, machine learning, and visualization to move models from data exploration toward deployment-ready solutions.

Location is onsite in Los Angeles with compensation ranging from USD 79,913 to 135,844 per year. Collaborate with researchers and PIs to translate data insights into actionable biomedical questions and

Qualifications

• Bachelor's degree in CS/ML/Applied Math/Bioimaging/Statistics/Engineering/Physics or related field (required).
• Master's degree in related fields preferred.
• Up to two years of professional healthcare or pharmaceutical experience with biomedical data.
• Intermediate programming in R or Python (college projects acceptable).
• SQL experience at basic to intermediate level.
• Experience in biomedical machine learning preferred.

Responsibilities

• Assist with development and evaluation of computational methods including AI/ML to analyze biomedical data.
• Present results at lab meetings, conferences, and publications.
• Build database-to-deployment model pipelines using R, Python, SQL, and neo4j.
• Create sustainable data science infrastructure and follow standards.
• Perform data cleaning, QC, and exploratory analysis to judge method applicability.
• Collaborate with researchers and PIs to identify data science contributions.

Skills

R

Python

SQL

GitHub

Machine Learning

Education

Bachelor's degree

Master's degree

Tools

Neo4j

Job description

At Cedars-Sinai, the Ajami Lab is building a new research program focused on immune mechanisms that drive neuro-degeneration, with an emphasis on ALS and microglial biology. In this Research Associate Data Scientist role, you will support biomedical research by applying programming, data mining, statistics, machine learning, and visualization to help move models from data exploration toward deployment-ready solutions.

What you will do

• Assist with the development, evaluation, and/or application of computational and statistical methods, including artificial intelligence and machine learning algorithms, to analyze biomedical data.
• Present and communicate scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
• Build database-to-deployment model pipelines using programming languages including R, Python, SQL, and neo4j.
• Create sustainable data science infrastructure and follow data analysis and machine learning standards.
• Perform data cleaning, quality control, and exploratory data analysis to determine whether advanced analytical methods are needed and appropriate.
• Work with research data scientists and principal investigators to identify where data science can support biomedical research questions.
• Test and validate code for adaptability, using version control practices via GitHub.

What you bring

• Bachelor's degree in Computer Science, Machine Learning, Applied Mathematics, Biomedical Imaging, Statistics, Engineering, Physics, or a related field (required).
• Master's degree in related fields is preferred.
• Up to two (2) years of professional experience in healthcare or pharmaceutical industries working with biomedical data.
• Intermediate-level programming experience with a high-level language such as R or Python (college projects may be acceptable).
• SQL experience at a basic to intermediate proficiency level.
• Experience in biomedical machine learning is preferred.

Tools and technologies

• R
• Python
• SQL
• neo4j
• GitHub

Location: Los Angeles, CA (onsite). Compensation: USD 79,913 - 135,844 per year.