Research Associate Data Scientist - Slomka Lab - Innovation in Imaging / Department of Medicine / Division of AIM

Position Overview

Grow your career at Cedars-Sinai! Data is vital to advance clinical knowledge across medical and surgical fields. The Slomka Laboratory is at the forefront of developing innovative methods for fully automated analysis of nuclear cardiology data and integrated motion-corrected analysis of PET/CT angiography imaging. As a Research Associate Data Scientist, you will participate in biomedical research projects using programming, data mining, statistics, machine-learning, and visualization techniques. You will write clean, performant code, build database-to-deployment pipelines, and communicate scientific findings via publications and conferences.

Key Responsibilities

• Assist in developing, evaluating, and applying computational and statistical methods—including artificial intelligence and machine learning algorithms—for biomedical data analysis.
• Present and communicate scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
• Create database-to-deployment pipelines for models using programming languages such as Python, R, and C++.
• Establish sustainable data science infrastructure and adhere to standard data analysis and machine learning processes.
• Perform exploratory data analysis to determine the need for advanced analytical methods.
• Collaborate with senior data scientists, research programmers, and principal investigators to identify key research opportunities.
• Test and validate code to ensure the adaptability and reliability of data applications.
• Participate in the development of innovative algorithms and analytical methods, and assist with the evaluation and interpretation of results.
• Contribute to both oral and written communication of scientific findings.

Required Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Applied Mathematics, Biomedical Imaging, Statistics, Engineering, Physics, or a related field.
• Up to two (2) years of professional experience in healthcare or pharmaceutical industries working with biomedical data.
• Intermediate to advanced programming skills in Python, C++, or R.

Preferred Qualifications

• Master's degree in a relevant field.
• Experience in biomedical machine learning.

Benefits & Perks

• Base Pay: $78,332.80 - $133,161.60
• Opportunity to work at a nationally recognized academic medical center committed to excellence in research, patient care, teaching, and community service.
• Be part of a diverse, dynamic team in one of the largest nonprofit academic medical centers in the U.S.