Director, Epidemiology & HEOR Consulting

Remote, United States – Full Time

About the Role

As a Director of Epidemiology & HEOR Consulting at Norstella, you lead the design and execution of real-world evidence, epidemiology, and health economics and outcomes research engagements for life sciences clients. This role serves as a senior scientific and strategic advisor, translating client business and evidence needs into actionable research plans.

Responsibilities

• Lead and oversee epidemiology and HEOR consulting projects, ensuring scientific rigor, timeliness, and alignment with client objectives.
• Develop study protocols, analysis plans, and research methodologies for real-world data (RWD) and real-world evidence (RWE) generation.
• Serve as a primary client contact, providing strategic guidance on evidence generation to support product development, market access, and commercialization.
• Collaborate with cross-functional teams, including biostatisticians, data scientists, medical writers, and regulatory experts.
• Mentor and manage junior team members, fostering professional growth and scientific excellence.
• Contribute to business development by identifying opportunities, drafting proposals, and presenting capabilities to prospective clients.
• Stay current with industry trends, regulatory guidelines, and advancements in epidemiology and HEOR methodologies.

Requirements

• Advanced degree (PhD, DrPH, ScD, or equivalent) in epidemiology, public health, biostatistics, health economics, or a related field.
• Minimum of 8 years of experience in epidemiology, HEOR, or real-world evidence research, with at least 3 years in a consulting or client-facing role.
• Proven track record of leading complex research projects and delivering high-quality, client-ready outputs.
• Strong expertise in study design, statistical analysis, and interpretation of real-world data (e.g., claims, EHR, registries).
• Familiarity with regulatory and HTA requirements (e.g., FDA, EMA, NICE, ICER) and their implications for evidence generation.
• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders.
• Experience with data analysis software (e.g., SAS, R, Python) and literature review tools.