Senior Health Data Scientist - Lead Analytics

Openkrill; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Inovalon seeks a Senior Health Data Scientist to lead complex data extracts, modeling, and analytics across healthcare datasets. You will guide junior staff and collaborate with researchers, analysts, and clinicians to generate actionable insights for clients.

The role requires 5+ years in healthcare data, strong SQL, SAS, R skills, and experience with Snowflake and data management in a fast-paced environment. Hybrid work options may apply based on location.

Qualifications

• Minimum 5 years of professional experience in healthcare or pharmaceutical industries working with administrative claims data.
• Strong SQL programming skills required; experience with Snowflake strongly preferred;
• Working knowledge of and experience using statistical analysis tools including SAS and R required;
• Demonstrated problem-solving, analytical reasoning, and decision-making skills;
• Strong understanding of and experience resolving data issues with a logical, instinctive, and problem-solving mentality when working with large, complex, and incomplete data sources;
• Business analytical skills including process flows, procedures, spreadsheets, and modeling, with a good understanding of design and architecture principles;
• Exhibit strong project management skills with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines;
• Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques;
• Strong written and verbal communication skills in IT and business environments; ability to communicate to both technical and non-technical audiences;
• Ability to work under minimal supervision in a fast-paced multidisciplinary environment;
• Advanced knowledge of healthcare, health policy, pharmaceutical, and related issues.

Responsibilities

• Serve as lead when working collaboratively with teams of health services researchers and business analysts to draw insight and intelligence from large administrative claims datasets, electronic medical records, and various healthcare registry datasets;
• Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques;
• Leverage SQL and Snowflake to perform advanced-level data extraction, transformation, and data management; fully document and manage library of source code and algorithms for future use;
• Identify, develop, and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner;
• Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects utilizing statistical tools such as SAS and R;
• Assist with the evaluation of data analytic vendors and tools;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’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 scope of work;
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.

Skills

SQL programming

Snowflake

SAS

R

Data analysis

Project management

Education

Master's degree

Tools

Snowflake

Python

Excel

Job description

Inovalon seeks a Senior Health Data Scientist to lead complex data extracts, modeling, and analytics across healthcare datasets. You will guide junior staff and collaborate with researchers, analysts, and clinicians to generate actionable insights for clients.

The role requires 5+ years in healthcare data, strong SQL, SAS, R skills, and experience with Snowflake and data management in a fast-paced environment. Hybrid work options may apply based on location.