Data ScientistMoses Cone Health System - Greensboro, NC
LOCATION: Greensboro, Cone HealthWORK TYPE: Full Time (40 hours/week)Exempt: YesSCHEDULE: FTE: 1.0 (40 hours/week)Shift: DaySchedule: M-F, 8 am-5 pmOn Call: NoJOB SUMMARY The Data Scientist is an advanced analytics resource on the Insight Discovery & Computational Modeling team within the Cone Health Enterprise Analytics department. The Data Scientist leverages the tools and methods of applied data science to generate business and clinical value for Cone Health through discovery of new insights/knowledge. The role of the Data Scientist at Cone Health is to:• Apply machine learning-based data mining methods to discover new patterns in claims and care delivery data for the purpose of understanding performance of the Cone Health enterprise and/or the populations that it serves, • Create predictive models for clinical and financial outcomes and/or population behaviors, and/or • Build simulation models to assess the range of possible outcomes for strategic and tactical proposals, and to gain an understanding of the sensitivity to associated business levers, prior to implementation.The result of the data scientist’s work is a body of high-impact models that can be implemented in a production setting to improve member health outcomes, to increase the efficiency of care delivery operations, and to contain health care costs through health improvement and risk mitigation. MAJOR WORK ACTIVITIES: Demonstrate attention to detail and initiative in discovering errors in data or analyses, or determining the need for additional, follow-up analysis arising from the original assignment. 20 % Develop knowledge and expert understanding of Cone Health clinical and business initiatives to ensure value-adding design and interpretation of analysis. 10 % Independently, or in teams, produce a combination of data mining, predictive modeling, simulation modeling or other quantitative analyses to provide new insights into drivers of clinical risk and financial performance.30 % Produce customer-oriented reports that provide business context for data science-based analysis and recommendations, requiring only moderate revision by the Enterprise Analytics leadership. 10 % Represent Enterprise Analytics leadership as a data science expert in business engagements with mid-level leadership when called upon to do so. 5 % Routinely apply data extraction and manipulation skills, complex analysis methods, statistical analysis, and data visualization tools to daily work. 20 % Serve as consultant regarding advanced data mining and predictive modeling methods, as well as application of scientific research principles to knowledge discovery. 5 % EDUCATION: Required: Bachelor’s degree in a quantitative, analytical discipline such as data science, mathematics, statistics, operations research, actuarial science, or the physical sciences.Preferred:Master’s Degree in an analytical discipline is preferred. LICENSURE/CERTIFICATION/REGISTRY/LISTING:Required:Valid Driver's License EXPERIENCE: Required:• Minimum of one (1) year of experience applying advanced analytics / statistical methods to very-large scale information sources required. Two years is preferred.• Demonstrated proficiency with at least one of the following tools is required: R, Python, RapidMiner, SAS/Enterprise Miner, Statistica, AnyLogic, or BayesiaLab. Experience with similar tools will be considered.• The ability to apply multiple advanced data mining, statistical analysis, and predictive modeling methods under the guidance of senior data scientists or the Executive Director is required.• Demonstrated evidence of advanced problem-solving skills in the business environment.Preferred:• Demonstrated experience with data extraction, data manipulation, and reporting is strongly preferred.• Analytics experience in the healthcare delivery or health insurance industries is preferred. Relevant experience in other industries (e.g., retail, social media, financial services) will be considered. • Demonstrated experience working with large, complex, relational databases is preferred.• Experience presenting analytically-derived findings to mid-level or senior leadership is preferred.• Two-or-more years of experience applying advanced analytics tools and methods to healthcare data is preferred.• Two-or-more years of experience in a healthcare operations environment (health system or insurer) is preferred.• Understanding of HIPAA and other applicable statutes or regulations concerning patient privacy and appropriate use and sharing of healthcare data is strongly preferred. KNOWLEDGE, SKILLS, AND ABILITIES: Required:• Prior hands-on experience developing, applying, and interpreting results from successful (i.e., practical and impactful) analytics projects.• Working knowledge of data science tools and methods, including machine learning and predictive modeling.• Experience with data access and manipulation tools such as SQL, SAS, or SAS Enterprise Guide. • Organizational skills - prioritize and operate on a wide range of topics and projects simultaneously.• Superior attention to detail.• Must be able to effectively communicate to customers, including executive leadership, the practical implications of, and recommendations derived from, complex analyses. CONDITIONS OF EMPLOYMENT * Annual flu shot* Annual TB test (if applicable to your job location)* Annual HLCs (Healthstream, formerly CBL)-Safety at Work and Corporate Compliance* Maintain licensure/certification/registry/listing (if applicable to your job) ABOUT CONE HEALTH:Cone Health is a state of the art network of facilities providing patients access to the latest developments in medical care from their first moments of life through later years. Our network offers the most breakthrough treatments and technology available in healthcare today. As a teaching hospital, we offer employees the opportunity to become leaders in the industry and continued growth from their first day on. Extraordinary patient care is about being “high-touch” as well as “high-tech”. Community service and superior patient care are the cornerstones of our organization, a philosophy that is demonstrated by each and every one of our valued team members. We are proud to be the largest private, not-for-profit employer of choice in the Piedmont, NC area community. Additionally, as one of the region’s largest and most comprehensive health networks, Cone Health has more than 100 locations, including six hospitals, three ambulatory care centers, three outpatient surgery centers, four urgent care centers, a retirement community, and more than 100 physician practice sites. Our tagline – “The Network for Exceptional Care” – highlights our commitment to excellence, which is shared by our more than 11,000 employees, 1,300 physicians and 1,200 volunteers.Cone Health is an equal opportunity employer. If you require assistance with our online job submission process, please contact our Talent Acquisition team at 866-266-3767 to request an accommodation.
9 days 7 hours ago
applyData Scientist Moses Cone Health System - Greensboro, NC, United States
Moses Cone Health System is a multi-hospital system with a range of outpatient services designed to provide care for Piedmont residents throughout all stages of their lives. Residents of our primary service area of Guilford, Randolph, Rockingham and Alamance counties and the city of Kernersville depend on us for convenient, affordable and compassionate care - care delivered regardless of a patient s ability to pay.
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