Principal Healthcare Data Scientist HEOR/Epidemiology

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.

Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.

Overview: As a Principal Healthcare Data Analytic Specialist, primary responsibility is to lead and implement the design of data acquisition, transformation, and analytical modeling of clinical and health data from Inovalon's technical platforms and databases, with the ability to envision future uses and growth trajectories of the those designs in supporting impactful, dynamic, and insightful healthcare data analytics such as opportunity analyses, risk adjustment and predictive modeling, program evaluation studies, customer reporting, product development, and ad-hoc analytics. The Principal Healthcare Data Analytics Specialist understands and works on complex projects where analysis of situations or systems requires advanced knowledge and wide-ranging experience and calls for reliable judgments in selecting methods and design options. This job often serves as an important contributor and trusted advisor on important technical issues.

Duties and Responsibilities:

• Primarily working in payer enrollment and closed claims data; creating analytical data sets
• Working primarily in SQL and SAS
  
  
• Extensive programming (script in SQL)
• Working on health economics and health outcome projects (disease areas)
• Contribute and lead data modelling and system architectural designs for high-impact projects, products, and infrastructure.
• Develop, perform, and/or oversee complex and detailed statistical analyses and modeling of clinical and operational data with outputs that are clear and relevant to the users;
• Lead in the design and development of statistical analyses and reports that explore and present large amounts of data to discover underlying patterns and trends related to quality, safety, and clinical performance;
• Lead in working with information from a variety of sources, including the EHR, publicly reported quality measurement and reimbursement data, and other resources using a variety of highly-specific tool such as, but not limited to, SAS, R, SPSS, Stata, SQL or Tableau;
• Develop requirements for data mapping and data loading processes. Execute data mapping/loading requirements and reconcilement of such activities;
• Plan and design data integration strategies, develop intuitive designs, and build enterprise interactive dashboards with built in guided healthcare data analytics;
• Lead in identifying and researching anomalies and outliers in data. Proactively identify problematic areas and conduct research to determine the best course of action to correct the data;
• Lead in strategies to monitor and perform trend analysis for the company and research report on anomalies
• Maintain compliance with Inovalon's policies, procedures and mission statement;
• Act as subject matter expert and trusted advisor to key stakeholders.
• Maintain compliance with Inovalon's policies, procedures and mission statement;
• Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; and
• Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Employer.

Job Requirements:

• At least 8 years of experience in data analytics, data science, or related field;
• Epidemiology/research experience
• Working with enrollment and closed claims
• Extensive programming experience and skills
• SQL proficiency (expert leve)
• Expert conducting statistical analyses and data mining using tools, such as SPSS, SAS, Stata, or Minitab;
• Expert with data management and visualization tools, such as SQL and Tableau;
• Possession of strong analytical / statistical skills used in evaluating and analyzing data;
• Strong organization skills and attention to details, comfortable working with minimum direction;
• Ability to lead technical discussions, independently contribute to high-level design and development, and effectively explain technical concepts to audiences of varying technical knowledge.
• Ability to advise on the selection of the right tools and environments for engineering and analytics teams.
• Adaptable to changing organizational requirements and priorities and supportive of a diverse work force;
• Ability to collaborate with others in diplomatic, tactful manner, while exercising sensitivity and discretion as needed;
• Advanced PC skills (Excel, PowerPoint, Word, Visio, and other programs); and
• Excellent written and verbal communication skills.
• Coaching and mentoring skills.

Education:

• Bachelor's degree in Information Systems, Computer Science, Statistics, Analytics, or a related field of study, and 8 years of related experience.
• In lieu of the Bachelor's degree, plus at least 8 years of experience, will accept a Master's degree in Information Systems, Computer Science, Statistics, Analytics, or a related field of study, plus at least 6 years of experience.

Physical Demands and Work Environment:

• Sedentary work (i.e., sitting for long periods of time);
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force;
• Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions
• Subject to inside environmental conditions; and
• Travel for this position will include less than 5% locally usually for training purposes.

The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.

Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications listed in a job description. If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply regardless. Inovalon is most interested in finding the best candidate for the job and you may be just .