Healthcare Data Scientist – ML, Analytics & Deployment

Cedars-Sinai Medical Center; Los Angeles (CA); Remote; USD 90,000 - 120,000; Full time

Job summary

Cedars-Sinai Medical Center in Los Angeles is seeking a Data Scientist to deliver analytical solutions through programming, data mining, and machine learning. The role involves querying databases, data processing, and deploying models in clinical and operational settings.

Required qualifications include 2+ years of experience in healthcare or clinical research and proficiency in Python and SQL. A Bachelor's degree in a relevant field is essential, with a Master's or PhD preferred. Strong communication skills are also needed to convey complex data insights.

Qualifications

• 2+ years of experience in healthcare, clinical research, or pharmaceutical industries.
• Intermediate to advanced Python programming skills.
• Intermediate proficiency in SQL programming.
• Experience with predictive model data preparation and feature engineering.
• Experience managing production level predictive analytics.
• Knowledge of regression and various machine learning models.
• Ability to communicate complex information to senior management.
• Experience resolving data issues with a problem-solving mentality.

Responsibilities

• Deliver analytical solutions using programming, data mining, and machine learning.
• Create database-to-deployment pipelines for models.
• Perform exploratory data analysis for data appropriateness.
• Test and validate code for robustness of data applications.

Skills

Data mining

Statistics

Machine learning

R programming

Python programming

SQL

Data visualization

Education

Bachelor’s Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, or physics

Master’s or PhD preferred

Tools

Oracle

Redshift

Job description

Cedars-Sinai Medical Center in Los Angeles is seeking a Data Scientist to deliver analytical solutions through programming, data mining, and machine learning. The role involves querying databases, data processing, and deploying models in clinical and operational settings.

Required qualifications include 2+ years of experience in healthcare or clinical research and proficiency in Python and SQL. A Bachelor's degree in a relevant field is essential, with a Master's or PhD preferred. Strong communication skills are also needed to convey complex data insights.