Associate Director, Value Demonstration

Role Summary

Associate Director of Value Demonstration will join the Value Evidence & Strategy (VESt) group to lead the execution of real-world evidence (RWE) studies from conception to completion using diverse real-world data sources. The role involves developing study protocols and analysis plans, managing external vendors, and interpreting study results to generate evidence supporting therapeutic products. This is a hybrid position primarily located at the Cambridge, MA site.

Responsibilities

• Project Execution: Under the guidance of a project lead, translate research ideas and objectives into detailed study protocols, statistical analysis plans, and technical specifications for studies using diverse real-world data (RWD) sources, such as claims data, electronic health records (EHRs), and patient registries.
• Vendor Management: Oversee and provide informed oversight to vendors and contract research organizations (CROs) conducting RWE studies, ensuring timely delivery, adherence to protocols, and scientific rigor.
• Cross-Functional Collaboration: Partner with internal cross-functional teams, including Medical Affairs, VESt Health Economics and Outcomes Research (HEOR), and Epidemiology, to receive guidance on study design, statistical methodologies, and project deliverables.
• Results Interpretation: Interpret, summarize, and present study results to technical and non-technical audiences via study tables, presentations, and reports, ensuring accurate and clear communication of findings.
• Methodological Oversight: Provide informed oversight on methodological approaches used by internal and external programmers, reviewing programming specifications and analytic outputs to ensure quality and validity.
• Quality Assurance: Support cross-functional initiatives to refine internal workflows, procedures, and best practices for RWE activities and ensure studies meet internal quality standards.

Qualifications

• Required: Advanced degree (PhD, ScD, DrPH, or Master's) in Epidemiology, Outcomes Research, Health Services Research, Health Economics, Biostatistics, or a related quantitative field.
• Required: 2–3+ years of relevant experience in the pharmaceutical industry or a related consulting environment, with previous experience in executing and managing RWE studies using administrative claims data, EHRs, or registries. A relevant postdoctoral fellowship or internship will also be considered.
• Required: Strong understanding of observational study designs, principles, and concepts.
• Required: Experience overseeing research projects, managing timelines, and collaborating with cross-functional teams.
• Required: Familiarity with interpreting complex statistical analyses, even without direct programming skills.
• Required: Excellent project management, communication, and interpersonal skills, with the ability to effectively manage vendor relationships and internal stakeholder expectations.
• Preferred: Experience working in a matrixed, cross-functional organizational structure.
• Preferred: Familiarity with advanced analytics and machine learning techniques applied to RWD.
• Preferred: A track record of contributions to scientific publications or presentations in the RWE field.
• Preferred: Proficiency in statistical programming languages such as R, SAS, or Python.