Innovaccer Analytics

Healthcare

SeniorHEORAnalyst

₹25–45L ~AI est. Remote Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior HEOR Analyst at Innovaccer Analytics. Skills: Health Economics, Outcomes Research, Data analysis. Collect healthcare datasets. Clean healthcare datasets”

Industry & Context.

Healthcare
Problems you'll solve

Analytical skills; Interpret complex data; Generate actionable insights

What They're Looking For.

Must Have

Formal training in statistics, Formal training in mathematics, Formal training in epidemiology, Formal training in health economics, Formal training in public health, 4+ years healthcare data analysis, Proficiency in SAS, Proficiency in R, Proficiency in STATA, Proficiency in Python, Understanding of data manipulation, Understanding of regression analysis, Understanding of predictive modeling

Nice to Have

Advanced degree in quantitative fields, Master's degree preferred, PhD preferred, Experience in HEOR, Experience in medical device, Experience in pharmaceutical, Experience in biotechnology, Familiarity with Medicare data, Familiarity with Medicaid data

What You'll Do.

Collect healthcare datasets

Clean healthcare datasets

Analyze healthcare datasets

Conduct descriptive statistical analyses

Conduct inferential statistical analyses

Assess healthcare utilization patterns

Assess treatment effectiveness

Assess cost-effectiveness

Assess patient outcomes

Collaborate to design HEOR studies

Collaborate to execute HEOR studies

Generate presentations

Generate visualizations

Communicate findings to decision-makers

Support business growth

Develop client relationships

Stay abreast of HEOR trends

Stay abreast of HEOR methodologies

Stay abreast of HEOR best practices

Contribute to continuous improvement

Adhere to data privacy guidelines

Adhere to regulatory guidelines

Handle sensitive healthcare information

How You'll Work.

Team & Collaboration

Internal team; External client; Cross-functional teams

Communication Scope

Presentations; Communicate findings

Full Job Description

**About the Role** The Sr. Health Economics and Outcomes Research (HEOR) Analyst is responsible for analyzing healthcare data to evaluate the economic and clinical outcomes of various treatments, interventions, and programs. **A Day in the Life** * Collect, clean, and analyze large healthcare datasets using statistical and data analysis techniques, including medical claims/encounter data, pharmacy, and patient registries. * Conduct descriptive and inferential statistical analyses to assess healthcare utilization patterns, treatment effectiveness, cost-effectiveness, and patient outcomes. * Collaborate with internal team and external client to design and execute HEOR studies, ensuring alignment with research objectives and regulatory requirements. * Generate comprehensive reports, presentations, and visualizations to ensure high quality of deliverables and effectively communicate findings to decision-makers. * Support the growth of the business through the development of strong client relationships. * Stay abreast of emerging trends, methodologies, and best practices in HEOR and healthcare data analytics, contributing to continuous improvement initiatives within the organization. * Adhere to data privacy and regulatory guidelines, ensuring the ethical and secure handling of sensitive healthcare information. **What You Need** * Formal training in statistics, mathematics, epidemiology, health economics, public health, or a related field. * Advanced degree (e.g., Master or PhD) in quantitative fields such as Health Economics, statistics, Operational Research, Mathematics, data science, biostatistics,s or epidemiology is preferred. * 4+ years hands-on experience in healthcare data analysis, preferably within the HEOR, medical device, pharmaceutical, or biotechnology. * Proficiency in statistical software such as SAS, R, STATA, or Python, with a strong understanding of data manipulation, regression analysis, and predictive modeling techniques. * Familiarity with healthcar

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