Data Scientist

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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 and analyze large complex datasets to discover insights • Use data mining, statistics and machine learning to understand relationships and patterns in data • Build predictive models and propose actionable solutions • Collaborate with administrative leaders, clinicians and IT specialists • Build machine learning models • Design and implementation of pilots for validation and optimization of models in real time • Produce technical documentation, visualizations and presentations • Project management for complex tasks • Completes own work independently • Performs other related duties as assigned or requested.

🎯 Requirements

• Master’s degree with 0+ years of experience; or Bachelor’s degree with 3+ years of experience • Familiarity with a health care environment and EHR data • Time series analysis • Awareness of the most recent trends and developments in the Data Science / Machine Learning fields • Experience with data analytics 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) or R (e.g. caret, dplyr, ggplot2) • Familiarity and experience with 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.

🏖️ Benefits

• Comprehensive Benefits