Senior HEOR Researcher: RWE & Data Analytics (Remote)

PANTHERx Rare Pharmacy

United States

Remote

USD 110,000 - 140,000

Full time

45 hours ago

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Job summary

PANTHERx Rare Pharmacy in Pittsburgh, PA (Remote) seeks a Principal HEOR Researcher to lead data management, study design, and statistical analyses for RWE, payer reporting, and clinical/economic outcomes.

You will work with internal and external teams to develop dashboards, publish abstracts and posters, and translate complex methods for senior leadership. Five years in clinical research or health analytics with SQL, Python, R, SAS, and data visualization is preferred.

Qualifications

Bachelor’s or Master’s in analytic/technical field.
Minimum of five (5) years of experience (with Bachelors) or minimum of three (3) years of experience (with Masters) in clinical research or health analytics.
Intermediate to advanced level of experience in SQL, Python, R, SAS, or other coding languages and data visualization tools (e.g., Tableau, Power BI).
Understanding of data privacy, security, and compliance requirements (e.g., HIPAA, GDPR). Knowledge and experience applying best practices for data quality control, summarization, and visualization.
Excellent communication and stakeholder management skills. Experience presenting analytical results to internal/external stakeholders including senior management.
Familiarity with healthcare data sets and experience using ICD-10, CPT4, NDC, LOINC, NDPDP, HL7 and other healthcare ontologies for data analysis purposes.
Familiarity with clinical and pharmacy quality metrics (e.g., PDC, HEDIS).

Responsibilities

Designs and conducts complex level studies, analyses, reports, data pipelines, models, dashboards, or other data products to support strategic initiatives such as manufacturer HEOR opportunities, payer reporting, and clinical trial analytics.
Executes the end-to-end lifecycle of RWE research projects—from conducting literature reviews, identifying appropriate methods, and drafting IRB protocols to managing data, performing statistical analyses and preparing publication materials.
Manages and prepares RWE data using best practices in data governance, quality, integrity, security and documentation, in partnership with internal and external teams.
Serves as a subject-matter expert in real-world evidence methodology, applying and interpreting advanced statistical techniques—including observational study design, causal inference, survival analysis, regression modeling, and sensitivity analyses—to generate decision‑grade insights.
Builds data dashboards and data visualization reporting outputs for translation of research, payer analytics, outcome analytics, and internal metrics.
Prepares and disseminates results through abstracts, posters, presentations, and peer‑reviewed publication. Communicates complex technical concepts and project outcomes to non‑technical stakeholders, including executive leadership.