Manager of HEOR Analytics
$100,000–$125,000 year
Remote · New York City, New York, United States or US
Job Summary
The Manager of HEOR Analytics plays a crucial role in generating real-world insights using large healthcare datasets to assist pharmaceutical, biotechnology, and healthcare provider organizations. Responsibilities include creating data-driven insights, collaborating with software teams to transform diverse healthcare data into actionable knowledge, preparing and cleansing analytical datasets, and conducting analyses to evaluate treatment patterns and outcomes. Candidates should possess a Bachelor's degree in a quantitative field and have at least 2 years of relevant experience in healthcare analytics or related areas, alongside proficiency in statistical programming tools. The position emphasizes analytical skills and experience with healthcare datasets, particularly in oncology research.
Required Qualifications
- Bachelor’s degree in statistics, data science, health sciences, economics, epidemiology, or a related quantitative field.
- 2+ years of experience in healthcare analytics, health services research, outcomes research, real-world evidence (RWE), or a related analytical function.
- Foundational knowledge of oncology disease areas, treatment paradigms (e.g., chemotherapy, immunotherapy, targeted therapy), and clinical outcomes research.
- Experience working with healthcare datasets, including claims, EMR/EHR data, laboratory data, or other real-world data sources.
- Proficiency in data analysis and statistical programming tools such as SQL, R, Python, SAS, or similar platforms.
- Ability to perform descriptive and survival analyses (e.g., Kaplan–Meier) and interpret findings in a clinical or research context.
- Experience using data visualization and business intelligence tools (e.g., Power BI, Tableau, Qlik).
- Strong analytical, problem-solving, and data interpretation skills with attention to detail.
- Experience contributing to scientific publications, conference abstracts, or technical reports.
- Ability to support development of Methods and Results sections for scientific manuscripts, abstracts, or internal research deliverables.
Desired Qualifications
- Strong SQL experience with the ability to extract, transform, and analyze large datasets from relational databases.
- Experience with healthcare data models and standards, such as OMOP, SDTM, or similar frameworks.
- Experience conducting real-world evidence or observational research, including cohort creation and outcomes analyses.
- Familiarity with cloud computing environments (Azure, AWS, or similar platforms).
- Exposure to machine learning or predictive modeling approaches in healthcare analytics.
- Experience with genomics, biomarker, or precision medicine datasets is a plus.
- Strong written and verbal communication skills with the ability to translate analytical results into actionable insights.
- Proactive and intellectually curious with a strong desire to learn.
- Collaborative team player who thrives in cross-functional environments.
- Creative problem solver with the ability to work in a fast-paced, data-driven organization.
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