Senior Data Scientist

City of Hope

1d•Remote

About The Position

Join the transformative team at City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. This is a Fully Remote Opportunity within the United States. The Senior Data Scientist in this role will query, curate, and analyze large, complex healthcare datasets, including structured and unstructured clinical data, to generate insights that improve cancer care delivery in a rapidly evolving clinical environment. The Data Scientist will apply statistical modeling, machine learning, clinical NLP, and large language model-enabled information extraction to identify patterns in longitudinal data, transform clinical notes into structured, research- and operationally useful variables, build predictive models, and deliver actionable solutions for clinical, research, and decision-support workflows.

Requirements

PhD degree in computer science, engineering, statistics, mathematics, physics, or fields related to data science with 0+ years of experience as a data scientist, Master’s degree with 3+ years of experience; or Bachelor’s degree with 5+ years of experience
Data analytics expert with measurable track record within industry or academic environment, developing and successfully implementing statistical and machine learning models for data mining, classification, prediction and clustering
Experience with relational databases and SQL queries.
Must be knowledgeable in at least one scientific computing language such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow), R (e.g. caret, dplyr, ggplot2), and Matlab
Solid experience in Machine learning (RandomForest, XGBoost/ LightGBM, etc.) and deep learning (CNN, RNN, LSTM, etc.) techniques
Proficiency in at least one programming language (e.g. Python, Java, C/C++)
Ability to work independently and use creative approaches to problem- solving
Capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models
Experience in data visualization and ability to communicate results to a non-technical audience
Experience in completing end to end projects with minimal to no supervision
Experience in being a part of big projects with many internal and external teams involved
Experience managing collaborative data science projects
Experience mentoring or leading teams of data scientists
Strong track record of data science publications, or extensive experience in developing production grade models and managing them in production
Information extraction from clinical notes
Longitudinal EHR/claims data
Evaluation of production-grade clinical AI systems

Nice To Haves

Familiarity with a health care environment and EHR data
Familiarity with genomics and medical imaging data
Time series analysis
Natural Language Processing (NLP), including clinical NLP and large language model applications for unstructured clinical data.
Cloud services platforms like Amazon AWS and Microsoft Azure
Awareness of the most recent trends and developments in the Data Science / Machine Learning fields

Responsibilities

Collaborate with administrative leaders, clinicians and IT specialists
Query large datasets from multiple systems
Build machine learning models
Design and implementation of pilots for validation and optimization of models in real time
Produce technical documentation, visualizations and presentations
Lead projects with multiple work streams or complex tasks
Project management for complex tasks
Complete individual or collaborative projects independently
Provide key subject matter expertise and leadership in advancing the use of AI technologies in precision medicine and clinical decision support
Provide mentorship and guidance to more junior staff
Performs other related duties as assigned or requested