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Job Description
ECU Health
About ECU Health
ECU Health is a mission-driven, 1,708-bed academic health care system serving more than 1.4 million people in 29 eastern North Carolina counties. The not-for-profit system is comprised of 13,000 team members, nine hospitals and a physician group that encompasses over 1,100 academic and community providers practicing in over 180 primary and specialty clinics located in more than 130 locations.
The flagship ECU Health Medical Center, a Level I Trauma Center, and ECU Health Maynard Children's Hospital serve as the primary teaching hospitals for the Brody School of Medicine at East Carolina University. ECU Health and the Brody School of Medicine share a combined academic mission to improve the health and well-being of eastern North Carolina through patient care, education and research.
Position Summary
The Lead Data Scientist uses statistical methods to collect and analyze data and helps solve real-world problems in the medical arena of ECU Health.
Responsibilities Effectively manage and lead the development and application of mathematical, geospatial, and statistical theory and methods to collect, organize, interpret, and summarize healthcare data to provide usable information. Expert in statistical/machine learning programming, data management, and cleaning. Develop and lead the statistical design, execution, and analysis for business operations and research studies. Build, evaluate, and present predictive models for applications in clinical and business areas. Develop the understanding of the risks and consequences that errors could have on patient care and/or organizational finances and establish a plan to mitigate risk. Skilled to present complex information effectively for different audiences and group settings. Able to provide formal presentations such as project overviews and technical training sessions. Minimum Requirements
Master's degree (or higher) in a related field (e.g., Statistics, Mathematics, Bio-Statistics, Physics). 5 years of health care related experience; and 10+ years of experience with complex statistical analyses, statistical programming, and sampling methodologies. Proficient in one or more statistical software such as SAS, R, or Python.
General Statement
It is the goal of ECU Health and its entities to employ the most qualified individual who best matches the requirements for the vacant position.
Offers of employment are subject to successful completion of all pre-employment screenings, which may include an occupational health screening, criminal record check, education, reference, and licensure verification.
We value diversity and are proud to be an equal opportunity employer. Decisions of employment are made based on business needs, job requirements and applicant's qualifications without regard to race, color, religion, gender, national origin, disability status, protected veteran status, genetic information and testing, family and medical leave, sexual orientation, gender identity or expression or any other status protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer, or against any individuals who assist or participate in the investigation of any complaint.
ECU Health
About ECU Health
ECU Health is a mission-driven, 1,708-bed academic health care system serving more than 1.4 million people in 29 eastern North Carolina counties. The not-for-profit system is comprised of 13,000 team members, nine hospitals and a physician group that encompasses over 1,100 academic and community providers practicing in over 180 primary and specialty clinics located in more than 130 locations.
The flagship ECU Health Medical Center, a Level I Trauma Center, and ECU Health Maynard Children's Hospital serve as the primary teaching hospitals for the Brody School of Medicine at East Carolina University. ECU Health and the Brody School of Medicine share a combined academic mission to improve the health and well-being of eastern North Carolina through patient care, education and research.
Position Summary
The Lead Data Scientist uses statistical methods to collect and analyze data and helps solve real-world problems in the medical arena of ECU Health.
Responsibilities Effectively manage and lead the development and application of mathematical, geospatial, and statistical theory and methods to collect, organize, interpret, and summarize healthcare data to provide usable information. Expert in statistical/machine learning programming, data management, and cleaning. Develop and lead the statistical design, execution, and analysis for business operations and research studies. Build, evaluate, and present predictive models for applications in clinical and business areas. Develop the understanding of the risks and consequences that errors could have on patient care and/or organizational finances and establish a plan to mitigate risk. Skilled to present complex information effectively for different audiences and group settings. Able to provide formal presentations such as project overviews and technical training sessions. Minimum Requirements
Master's degree (or higher) in a related field (e.g., Statistics, Mathematics, Bio-Statistics, Physics). 5 years of health care related experience; and 10+ years of experience with complex statistical analyses, statistical programming, and sampling methodologies. Proficient in one or more statistical software such as SAS, R, or Python.
General Statement
It is the goal of ECU Health and its entities to employ the most qualified individual who best matches the requirements for the vacant position.
Offers of employment are subject to successful completion of all pre-employment screenings, which may include an occupational health screening, criminal record check, education, reference, and licensure verification.
We value diversity and are proud to be an equal opportunity employer. Decisions of employment are made based on business needs, job requirements and applicant's qualifications without regard to race, color, religion, gender, national origin, disability status, protected veteran status, genetic information and testing, family and medical leave, sexual orientation, gender identity or expression or any other status protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer, or against any individuals who assist or participate in the investigation of any complaint.