Base: $92,000.00 - $146,750.00; bonus/equity: not ...
Hybrid
Expertise in linux, python, and java
Experience with large structured and unstructured datasets
Proven experience with large language models
Yale University is seeking a Data Scientist for its Cardiovascular Data Science (CarDS) Lab to work on healthcare data projects aimed at improving patient care. The position requires expertise in programming, experience with large datasets, and a passion for healthcare innovation, with a salary range of $92,000 - $146,750
Job Summary
The position focuses on leveraging healthcare data from electronic health records to improve patient care through novel machine learning applications.
The ideal candidate will lead efforts in developing data and analytic pipelines while collaborating with a multidisciplinary team of researchers and faculty.
This role offers unique collaborative opportunities with industry partners and health systems to advance cardiovascular disorder diagnosis and care quality.
Matching Summary
Match Score: 85
Yale University is seeking a Data Scientist for its Cardiovascular Data Science (CarDS) Lab to work on healthcare data projects aimed at improving patient care. The position requires expertise in programming, experience with large datasets, and a passion for healthcare innovation, with a salary range of $92,000 - $146,750.
Salary
Base: $92,000.00 - $146,750.00; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Expertise in Linux, Python, and Java
Experience with large structured and unstructured datasets
Proven experience with Large Language Models
Strong background in theoretical and applied machine learning
Ability to work with GPU-accelerated computing
Nice-to-have
Interest in broad career development in dynamic environment
Willingness to learn distributed and cluster computing skills
Experience with natural language processing applications
Background in computer vision and signal processing
Ability to deploy in containerized environments
Key Requirements
Master's degree or PhD in Computer Science, Statistics, or related field
Six years of experience with equivalent education combination
Bachelor's degree in Computer Science or Mathematics required minimum
Demonstrated ability to communicate technical ideas to non-technical audiences