Lead Data Scientist

City of Hope

3d•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 As a successful candidate, you will: The Lead Clinical Decision Support Data Scientist will lead the development of data-driven clinical decision support tools through predictive analytics to optimize clinical care processes. The individual will partner with department leaders and clinical end users to understand and prioritize the pain points and work with the data science team and IT team to strategize, develop and deliver decision support tools at point of care.

Requirements

Master’s in computer science, engineering, statistics, mathematics, physics or related field
8+ years of experience with data analytics within industry, developing and successfully implementing statistical and machine learning models for data mining, classification, prediction and decision support.
3+ years of experience with decision trees
Strong leadership skills with 2+ years of experience leading a technical team

Responsibilities

Collaborate with administrative leaders, clinicians and IT specialists to support data strategy and execution for research and clinical projects.
Lead decision support data science team in developing high quality, robust and reliable algorithms for real time monitoring and decision support tools.
Plan, resource, strategize and manage clinical decision support projects
Query and analyze large datasets from multiple systems
Evaluate different methodologies and data sources for the best approach to solve data science problems
Design and implement machine learning algorithms for predictive models
Design and implement pilots for validation and optimization of models in real time
Strategize and manage moving decision support tools into production environment
Plan, resource and manage optimization and maintenance of predictive models in production
Produce technical documentation to clearly define and explain different phases of decision support projects
Produce data visualizations and presentations to present the progress and results of the decision support projects to leadership and end users, as well as external conferences and meetings
Prepare scientific manuscripts, posters and abstracts for publication in journals and conferences
Lead mentorship activities, training, and professional growth development for the Clinical Data Science team.
Lead sessions and meetings to drive analytics roadmap and long-term strategy to develop health learning system.
Lead the clinical data science team and inspire innovative thinking in the analytics space and advise on current project work.
Recruit, motivate and develop members of the data science team
Develop best practices for scoping, building, validating and monitoring data science projects.
Other duties as assign