Population Health Analytics Research Analyst - Associate

We're excited about the potential people bring to our organization. You can grow your career here while enjoying first-class perks, benefits and a culture that fosters growth, innovation and collaboration.

The Population Health Analytics Research Analyst-Associate will be responsible for performing exploratory data analysis, developing machine learning models under guidance from senior team members, and helping drive data-driven decision-making across the organization.

The analyst will possess a strong foundation in data analysis, a keen interest in healthcare, and a desire to explore the potential of emerging technologies like AI and machine learning. In addition, they will be expected to stay up to date with industry trends, tools, and technologies in data science and machine learning and apply new techniques as appropriate.

• Bachelor's degree in a quantitative/research discipline such as epidemiology, statistics, econometrics, behavior economics, data sciences, or other related discipline required. An additional four (4) years of experience will be considered in lieu of degree.
• One (1) year of analytics experience required. Experience in a managed health care environment preferred.
• Experience working with data warehouses to extract, clean and transform data.
• Knowledge of healthcare concepts and healthcare data, for example CPT, HCPCS, DRG, ICD-10/ICD-9 Code, etc.
• Knowledge of industry analytical concepts (courses of certification preferred).
• Fundamental knowledge of data mining concepts, including machine learning algorithms.
• Knowledge of software for statistical analysis and data mining: SQL, SAS, R, Python, etc.
• Excellent problem-solving, interpersonal, analytical, and critical thinking skills.
• Understand value of integrating multiple data sources: understand different types of data, such as clinical, administrative and personalization, and can draw associations with this data.
• Ability to present and communicate output and analysis in a meaningful way that meets the needs of the business partners.
• Ability to innovate and enhance existing solutions. Proven examples of displaying the IH values: Passionate, Caring, Respectful, Trustworthy, Collaborative and Accountable.

• Assist in collecting, cleaning, and preprocessing data from multiple sources.
• Assist with performing exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Build machine learning models under guidance from senior team members, including classification and regression models.
• Support the creation of dashboards, reports and visualizations to communicate findings to stakeholders.
• Assist with performing outcome evaluation of business initiatives under guidance from senior team members.
• Participate in methodology review sessions.
• QA own work and work of others when assigned.
• Collaborate with other team members on various data-driven projects.

Immigration or work visa sponsorship will not be provided for this position

Hiring Compensation Range: $60,000 - $70,000 annually

Compensation may vary based on factors including but not limited to skills, education, location and experience.

In addition to base compensation, associates may be eligible for a scorecard incentive, full range of benefits and generous paid time off. The base salary range is subject to change and may be modified in the future.

As an Equal Opportunity / Affirmative Action Employer, Independent Health and its affiliates will not discriminate in its employment practices due to an applicant's race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity or expression, transgender status, age, national origin, marital status, citizenship and immigration status, physical and mental disability, criminal record, genetic information, predisposition or carrier status, status with respect to receiving public assistance, domestic violence victim status, a disabled, special, recently separated, active duty wartime, campaign badge, Armed Forces service medal veteran, or any other characteristics protected under applicable law. Click here for additional EEO/AAP or Reasonable Accommodation information.

Current Associates must apply internally via the Job Hub app.