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Healthcare Data Scientist

  • Anywhere

Company :
Option Care Health

Location :
Bannockburn, Illinois

Expiry Date :
Fri, 26 Mar 2021 23:59:59 GMT

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Description :
Company Overview Extraordinary Care. Extraordinary Careers. With the nation’s largest home infusion provider, there is no limit to the growth of your career. Option Care Health, Inc. is the largest independent home and alternate site infusion services provider in the United States. With over 6,000 team members including 2,900 clinicians, we work compassionately to elevate standards of care for patients with acute and chronic conditions in all 50 states. Through our clinical leadership, expertise and national scale, Option Care Health is re-imagining the infusion care experience for patients, customers and employees. At Option Care Health we recognize that part of being extraordinary is supporting and building a workforce that is as diverse as the patients and communities we serve. Join a company that is taking action to develop a culture that is more inclusive, respectful, engaging and rewarding for all team members. We are committed to hiring, developing, and retaining a diverse workforce. Job Description Summary:Collaborate with analytic partners and business partners from operations, finance, business development, marketing and strategy to develop effective and automated analytic solutions for our partners. Perform critical research and investigation of key business problems for the development of predictive and outcomes models that measure results. Develop and improve quantitative data analytics and set performance targets for the business utilizing economic/statistical approaches in conjunction with AI/ML. Job Description: Job Responsibilities (listed in order of importance and/or time spent) – Collaborate with key internal stakeholders to gather and analyze requirements to design and implement a robust and automated analytic solution to support business needs. – Identify, develop and suggest methodology for building all aspects of analytic dashboards/tools including scope of work, model process diagram, methodology, decision tree and business requirements, modeling deliverables and timeline, and user inputs/outputs. – Utilize descriptive and predictive statistical techniques to measure impact of various actions/studies, internal and external, develop sampling and hypothesis testing to help the organization determine outcomes, and forecast and predict future behaviors that explain key findings. – Asses existing data availability, identify data gaps and limitations, and collaborate with the data team and BI/IT business partners to develop approaches in closing data gaps. – understanding of the underlying statistical concepts and computational approaches that enable efficient execution of models and design and implement modifications and enhancements to the computations. – Construct and deliver written reports of analytic approaches and findings (PPT, visualization of data / decision tree), formulating recommendations and effectively presenting results to non-analytical business partners. – Design and automate visually dynamic dashboards in Power BI and other analytical tools. This includes collaborating with internal BI team to understand the technology platform for automation. In addition, insure a streamlined handoff process for release in production. – Manage deliverables across multiple projects in a deadline-driven environment and project related to a wide variety of business settings and clinical needs. – Develop and create clinical program case studies at a book of business level. – Study trend assumptions that will be incorporated into forecasting and outcomes modeling by applying a statistical approach. Supervisory Responsibilities Does this position have supervisory responsibilities? NO (i.e. hiring, recommending/approving promotions and pay increases, scheduling, performance reviews, discipline, etc.) Basic Education and/or Experience Requirements – Master’s Degree in public health, mathematics, statistics, experimental psychology, epidemiology, health economics required. – 2 – 4 years of professional post-graduate experience in constructing, validating, and executing modeling and optimization solutions. – 2 – 4 years of professional post graduate experience in PBM, payor, managed care and healthcare space – A minimum of 3 years of highly advanced Microsoft SQL, R, Python, SAS EG/Proc SQL, SPSS, PowerBI, Tableau (all statistical data mining tools), Excel, Visio, and PowerPoint experience – Experience with statistical analyses, predictive analytics, and modeling techniques such as multivariate regression, logistic regression, forecasting and time series models Basic Qualifications – Experience in translating business problems across disciplines into advanced analytic projects with measurable business value. – Experience with theoretical modeling approaches and matching analytic modeling approaches to a wide range of business applications – Proven application of data mining tools and concepts including structured and unstructured data – Proven understanding of relational databases and experience with large data sets – Proficiency in graphic development and presentation – Ability to critically think, listen and excellent verbal and communication skills – Ability to work independently on various high level projects and within a team environment – Extensive knowledge of pharmacy and managed care claims and data coding (NCPDP, GPI, NDC, HCPCS, ICD9/10, DRG and revenue codes) Travel Requirements N/A Preferred Qualifications & Interests – PhD in statistical, mathematical or health economic studies Option Care Health subscribes to a policy of equal employment opportunity, making employment available without regard to race, color, religion, national origin, citizenship status according to the Immigration Reform and Control Act of 1986, sex, sexual orientation, gender identity, age, disability, veteran status, or genetic information. Recommended skills Data Mining Statistics Decision Tree Learning Logistic Regression Time Series Tableau (Busines Intelligence Software)