Recognized by FORTUNE magazine as one of the “World’s Most Admired Companies,” Quest Diagnostics (www.QuestDiagnostics.com) is the world's leading provider of diagnostic testing, information and services that doctors and patients need to make better healthcare decisions. We are pioneers in developing innovative diagnostic tests and advanced healthcare information technology solutions that help improve patient care.
With corporate headquarters in Secaucus, NJ, Quest Diagnostics is a Fortune 500 company traded on the New York Stock Exchange (NYSE: DGX) and included in the Dow Jones Sustainability World Index, with 2022 revenues of $9.88 billion.
The Role
Healthcare Analytics Solutions (HAS) is an innovative team within Quest Diagnostics that leverages Quest data to develop products and services to improve outcomes in healthcare across many different markets (Pharma, Clinical Trials, Health Plans/Payers, Hospitals/Health Systems, and Public Health agencies).
The Data Science Analyst is responsible for leading advanced analytics in support of the Healthcare Analytics Solutions product portfolio. In this role, the Data Science Analyst will leverage their experience preparing large datasets and applying a variety of data science methods to analyze data, develop insights, and deploy analytics services and products. The anlayst will also be responsible for using the spectrum of data science fields of study, including descriptive, diagnostic, and predictive analytics, to address the biggest challenges facing each market.
The analyst must be a subject matter expert in their respective domain. Prior experience and knowledge of data and analytics within the healthcare industry are critical to the role. This includes a proficiency in accumulating disparate data sources into structured forms to facilitate predictive analytics. The successful candidate will also support training and mentoring of other HAS data scientists in advancing their analytics capabilities.
• Work with a cross-functional team of analysts, medical doctors, business leaders, and IT professionals to develop and deliver informatics and analytics products and services utilizing data from the Quest Diagnostics lab data and a variety of healthcare related data sources.
• Work on the curation of data sets from Quest and non-Quest data sources in support of deriving business insights driven by advanced analytics. Ensures data sets are of high quality and integrity for the target analytics.
• Collaborate on the development, evaluation, and deployment of machine learning models including classification, regression, and forecasting for use in products and services.
• Work through on-time and high-quality delivery of client/customer facing data and analytics components of HAS products.
• Establish production machine learning capabilities such as performance tracking, drift monitoring, and bias detection.
• Integrates advanced analytics and machine learning models into business products and services such as batch reporting, business intelligence dashboards, and real-time analytics.
• Partner with the team on the creation of standard operating procedures and technology patterns within the HAS data science team.
• Leverage data visualization tools and software to present large amounts of information in charts, graphs, or other diagrams that are easy to interpret and spot patterns, trends, and correlations.
• Uses unsupervised learning techniques including clustering and anomaly detection to uncover insights within healthcare data sets.
• Partner with the team on the delivery of HAS analytics initiatives with high-level and ambiguous goals to advance the analytics capabilities of HAS.
• Support the creation of customer contracts as related to data & analytics.
• Represent HAS data science as a Subject Matter Expert in enterprise projects that enable the use of data for analytics across Quest. This requires collaborating with business and technical teams to propose solutions and/or leverage new technologies to advance data and analytics capabilities.
• Builds and presents training to other data scientists related to advanced analytics topics such as machine learning algorithms, analytics technology, and best practices to grow team knowledge.
• Develop trusted relationships with data and analytics counterparts with clients and customers.
• Effectively summarize and communicate results, in written and presentation formats, from analysis to a diverse set of audiences with varying backgrounds and technical skills.
• Support hiring processes by referring individuals and giving hiring feedback during the interview process.
• Develops experimental designs to support the evaluation of pilot products and features.
• Support onboarding and training of new analytics team members, including setting up onboarding benchmarks to help grow team capacity.
• A Bachelor Degree from an accredited college or university in a related area of Data Science, Statistics, Computer Science,
Location: Secaucus, NJ
Posted: Aug. 22, 2024, 12:10 p.m.
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