- Location: NJ, United States
- Type: Contract
- Job ID: 10478
- Work Setting: On-Site
- Posted: July 21, 2026
- Closing Date: August 2, 2027
- Tax Status: W2
HEOR Consultant III
12-month Contract
Remote- EST Hours Required
Requirements
12-month Contract
Remote- EST Hours Required
Requirements
- Contribute to health economics projects by performing evidence synthesis, outcome research, and related analytical tasks under the direction of project leads.
- Support the generation of value evidence across the product life cycle in alignment with global payer and health technology assessment (HTA) requirements.
- Assist in developing protocols and the end-to-end execution of outcome research to support launch, commercialization, and payer-focused evidence generation.
- Conduct primary, secondary, and exploratory analyses based on approved protocols, including:
- Healthcare resource utilization (HCRU) analysis
- HCRU cost modeling using difference-in-differences and GLM-based methods
- Dosage interval analyses
- Time-to-event analyses, including Kaplan–Meier
- Decision-analytic modeling, including Markov and simulation models
- Perform systematic literature reviews and meta-analyses to inform protocol development.
- Prepare and deliver proposals, technical reports, slide presentations, conference abstracts, manuscripts, and other deliverables with guidance from project leads.
- Communicate progress, issues, and findings to team members to support timely completion of project milestones.
- Present research findings internally and at professional scientific or industry conferences as assigned.
- Conduct targeted literature searches to identify key evidence and data inputs.
- Work independently on assigned tasks and collaborate effectively within cross-functional teams.
- Apply knowledge of clinical development, research study designs, and interpretation of clinical and real-world evidence.
- Apply qualitative and quantitative research methodologies.
- Apply knowledge of the pharmaceutical industry, global regulatory expectations, and product development processes across all life cycle stages.
- Apply knowledge of international healthcare systems and evolving HTA requirements.
- Work with open claims, closed claims, and electronic medical record (EMR) datasets.
- PhD in industrial engineering, operations research, mathematics, economics/health economics, pharmaceutical outcomes & policy, statistics, biostatistics, decision sciences, health services research, or a related field, with at least 3 years of experience in the pharmaceutical industry, contract research, or a related environment, including academia; OR
- Master’s degree in one of the above fields with at least 5 years of relevant experience in the pharmaceutical industry, contract research, or a related environment, including academia.
- Minimum 3+ years of experience in healthcare resource utilization (HCRU) analysis, HCRU cost modeling, difference-in-differences and GLM-based methods, dosage interval analyses, time-to-event analyses, and decision-analytic modeling, including Markov and simulation models.
- Proficiency in Microsoft Excel, SQL (Snowflake), R or Python, and SAS.
- 5+ years of experience in Excel, Python/R, and SQL.
- Highly motivated, detail-oriented self-starter who can follow directions, manage multiple priorities, and resolve complex issues in collaboration with team leads.
- Excellent interpersonal, written, and oral communication skills, with the ability to translate complex concepts into clear, actionable insights.