As a Data Scientist in our Office of Health Informatics & Analytics (OHIA), you will be responsible for developing machine learning predictive analytics models by applying advanced statistical and computational methods, and innovating use of data to support UCLA Health Sciences initiatives that drive clinical, financial and operational improvement. You are expected to understand the clinical, financial and operational issues to be solved and to determine targeted individual and/or linked healthcare data sets (structured and unstructured). You will leverage machine learning tools and algorithms best-suited to solve these issues, interpret outputs, and present findings to various levels of stakeholders and technical experts.
Master's degree in Computer Science, Mathematics, Statistics, Engineering, or other computational/quantitative field highly desired (PhD preferred), or equivalent experience
2+ years of advanced data analysis experience and expertise in diverse statistical, data mining techniques and technologies including: Neural networks; deep learning; Naïve Bayes; regression; random forest; clustering; text mining; social network analysis; Natural Language Processing (NLP); supervised and unsupervised machine learning; model validation, testing, and communication; and Machine Learning frameworks like scikit-learn, Tensorflow, Keras, pandas, etc.
Experience working with Microsoft Azure cloud based technologies preferred
Proficiency with a statistical language: R or Python is required; and analytical documentation: Jupyter or iPython notebook is preferred
Strong programming skills: shell scripting, Python, Perl, C++, SQL and Java are preferred
Experience working with Tableau, Power BI, matplotlib, ggplot2 or similar data visualization tool required
Experience with healthcare data and/or EHR data preferred
Demonstrated experience synthesizing and analyzing large data and making program recommendations based on that data required
Excellent written and communication skills explaining complex quantitative models to business stakeholders, management and executives
Experience performing statistical analysis to quantify the limitations of models
UCLA is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.
At UCLA Health, you can help heal humankind, one patient at a time by improving health, alleviating suffering and delivering acts of kindness. As you do, you’ll achieve great things in your life and your career. We’re a world-class health organization with four hospitals consistently recognized among the nation’s very best as well as an internationally-renowned medical school, primary and specialty care clinics and much more. Within our dynamic, innovative and growing organization, you’ll find exceptional opportunities to make the most of your abilities in a supportive, empowering and inclusive environment. If you embrace our values of Integrity, Compassion, Respect, Teamwork, Excellence and Discovery we invite you to see all you can accomplish at UCLA Health.
To improve the patient experience by providing health care providers; patients and their families; and others with information, education, networking opportunities, and related resources focused on best practices.