Principal HEOR Researcher

PANTHERx Rare Pharmacy; United States; Remote; USD 110.000 - 140.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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).

Aufgaben

• 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.

Kenntnisse

SQL

Python

R

SAS

Tableau

Power BI

Data governance

Stakeholder management

HIPAA/GDPR awareness

Healthcare ontologies

IRB and compliance

NLP for clinical text

Ausbildung

Bachelor’s or Master’s in analytic/technical field

Tools

SQL

Python

R

SAS

Tableau

Power BI

Jobbeschreibung

Purpose

The Principal HEOR Researcher is responsible for data management, RWE study design, and statistical analyses to disseminate clinical and economic outcomes for life science and payer partnerships, demonstrate PANTHERx’s unique differentiators, and support strategic decision-making. The ideal candidate will have experience in HEOR, RWE, and healthcare analytics; a strong foundation in advanced statistical techniques; and a passion for using data to drive innovation in specialty pharmacy services.

Location

Pittsburgh, PA (Remote)

Classification

Exempt

Status

Full-time

Reports to

Head of HEOR

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.

Required Qualifications

• Bachelor's degree or Master's degree in an analytic or 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).

Preferred Qualifications

• Ph.D. with a minimum of one (1) year of experience in clinical research or health analytics.
• Strong understanding of IRB process and HIPAA research compliant requirements
• Familiarity with the Azure cloud platform and Azure Databricks.
• Experience in rare disease, specialty pharmacy, or life sciences
• Knowledge of payer-provider dynamics and specialty pharmacy reimbursement models.
• Experience with NLP for clinical text analysis.

Work Environment

This position operates in a professional office or home office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

Physical Demands

While performing the duties of this job, the employee is regularly required to sit, see, talk, or hear. The employee frequently is required to stand; walk; use hands and fingers to handle or feel; and reach with hands and arms. Visual acuity is necessary for tasks such as reading and working with various forms of data for extended periods on a screen. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job.