Data Scientist, Clinical Informatics

The objective of the Data Scientist, Clinical Informatics is to query and analyze large complex data sets from multiple systems to discover new insights as applied to an evolving integrated clinical care within a cancer care delivery environment. This role will have a good understanding of design and architecture principles and support the utilization of data as well as risk and predictive models to optimize clinical care processes. The Data Scientist, Clinical Informatics works closely with clinical and administrative leaders to refine the clinical questions, problems and goals and communicate findings. The Lead Data Analyst will use data mining, statistics, statistical modeling and machine learning to understand relationships and patterns in data. The insights gathered from this analysis are translated into actionable steps and best practices. This position will be responsible for developing tools to enable visualization to translate analytics into information that can be used by clinical and operational leadership.

Specific job responsibilities include:

  • Integrate multiple systems and perform analytics on large data sets.
  • Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data, identify patterns and correlations among various data points and discover new insights.
  • Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.
  • Analyze and model structured data from multiple systems using advanced statistical methods
  • Perform analytics on patient populations
  • Build algorithms to predict future data trends and relationships.
  • Meet with clinicians and administrative leaders to explain data, data analysis, insights and relationships within data
  • Analyze and interpret clinical data, extract clinical relevanceand formulate recommendations for clinical and operational processes
  • Design and maintain clinical score cards, dashboards and reports in a standardized fashion to ensure readability, accuracy and understanding by clinicians
  • Produce reports from clinical data to meet end-user needs
  • Assist in development of measures for monitoring clinical outcomes and processes.
  • Collaborate and develop working relationships with clinical departments, divisions and operational leaders as well as research informatics
  • Collaborate with other database analysts.
  • Drive change in clinical care processes based on data analytics.
  • Strategize new uses for data and its interaction with data design to improve clinical and quality outcomes.
  • Serve as an expert resource and consultant for all areas of the medical center with regards to data collection, standards, management, governance, retrieval and use as well as design and use of Clinical Decision Support elements and tools.
  • Required to travel.

Position Requirements:

  • Master’s degree in statistics, mathematics, informatics, machine learning, computer science, epidemiology or a related field.
  • 5-8 years of experience with data analytics
  • 3+ years of applicable experience developing and successfully implementing statistical models for data mining, predictive risk modeling, clustering, and classification
  • 2+ years of experience with decision trees
  • Experience in using analytics to generate and validate insights from large data sets
  • Experience with relational databases and SQL queries
  • Ph.D. degree preferred
  • Experience in a health care environment
  • Experience in health plans/payer environment
  • EHR experience
  • 3+ years of applicable experience developing and successfully implementing statistical models for data mining, predictive (risk) modeling, clustering, and classification
  • 2+ years of experience with decision trees

Skills/Abilities:

Must be knowledgeable in statistical and analytic packages such as R, Matlab, SAS, SPSS and Weka

Proficiency in at least one scripting language (e.g. Python, Perl)

Ability to exercise independence and use creative approaches to problem-solving.

Able to creatively combine diverse computational methods, and, when necessary, develop new ones to best analyze various types of data

Fully capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models, and presenting insights to senior clinical and operational leaders

Experience in data visualization.

Comfortable communicating complex technical subjects to non-technical audiences using practical examples, and prototypes

About City of Hope

City of Hope, an innovative biomedical research, treatment and educational institution with over 4000 employees, is dedicated to the prevention and cure of cancer and other life-threatening diseases and guided by a compassionate, patient-centered philosophy.

Founded in 1913 and headquartered in Duarte, California, City of Hope is a remarkable non-profit institution, where compassion and advanced care go hand-in-hand with excellence in clinical and scientific research. City of Hope is a National Cancer Institute designated Comprehensive Cancer Center and a founding member of the National Comprehensive Cancer Network, an alliance of the nation’s 20 leading cancer centers that develops and institutes standards of care for cancer treatment.

City of Hope strongly supports and values the uniqueness of all individuals and promotes a work environment where diversity is embraced. City of Hope is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.


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