Associate Director, Value Demonstration

This is an 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.

Requirements

• Advanced degree (PhD, ScD, DrPH, or Master's) in Epidemiology, Outcomes Research, Health Services Research, Health Economics, Biostatistics, or a related quantitative field.
• 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.
• Strong understanding of observational study designs, principles, and concepts.
• Experience overseeing research projects, managing timelines, and collaborating with cross-functional teams.
• Familiarity with interpreting complex statistical analyses, even without direct programming skills.
• Excellent project management, communication, and interpersonal skills, with the ability to effectively manage vendor relationships and internal stakeholder expectations.

Preferred Qualifications

• Experience working in a matrixed, cross-functional organizational structure.
• Familiarity with advanced analytics and machine learning techniques applied to RWD.
• A track record of contributions to scientific publications or presentations in the RWE field.
• Proficiency in statistical programming languages such as R, SAS, or Python.

U.S. Pay Range

$170,300.00 - $230,300.00

The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus or sales incentive) and an annual long-term incentive award (e.g., equity).

Alnylam's robust Total Rewards package is designed to support your overall health and well-being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k)with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company-wide recharge breaks. We also offer generous family resources and leave. Our commitment to your well-being reflects our belief that caring for our people fuels the impact we create together.

Learn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website: https://www.alnylam.com/careers

AboutAlnylam

We are the leader in RNAi therapeutics- a revolutionaryapproach with the potential to transform the lives of people with rare and common diseases. Built on Nobel Prize-winning science, Alnylam has delivered the breakthroughs that made RNAi therapeutics possibleand are just at the beginning of what's possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We're proud to be a globally recognized top employer, wherean authentic, inclusive culture and breakthrough thinkingfuel one another.

At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E-Verify Employer.