Senior Data Scientist

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🕒 April 24

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City of Hope

WebsiteLinkedInAll Job Openings

10,000+ employees

🧬 Biotechnology

🔬 Science

🤝 Non-profit

💰 $5.4M Grant - City of Hope on 2024-05

Biotechnology • Science • Non-profit

City of Hope is a nonprofit, NCI-designated comprehensive cancer center and research hospital near Los Angeles that provides patient care, conducts translational biomedical research, and offers education and clinical trials across a national network. It focuses on cancer, diabetes, and other life‑threatening diseases, combining clinical services, laboratory science, training and community outreach to develop new treatments and support patients and families.

📋 Description

• Query, curate, and analyze large, complex healthcare datasets • Generate insights that improve cancer care delivery • Apply statistical modeling, machine learning, clinical NLP, and large language model-enabled information extraction • Identify patterns in longitudinal data • Transform clinical notes into structured, research- and operationally useful variables • Build predictive models • Deliver actionable solutions for clinical, research, and decision-support workflows • Collaborate with administrative leaders, clinicians and IT specialists • Design and implement 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

🎯 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 • 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 • 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