Associate Director of ; Sponsor Dedicated​/Remote

Associate Director of Real World Evidence (Sponsor Dedicated/Remote-US)

Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.

Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for.

Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives.

Discover what our 29,000 employees, across 110 countries already know:

• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong.

Syneos Health is seeking an Associate Director of Real-World Evidence (RWE) to lead a Sponsor-dedicated team supporting high-impact evidence generation across the drug development lifecycle. This role combines scientific leadership, epidemiologic expertise, and people management, overseeing real-world data analytics, observational research, and late-phase evidence programs that inform regulatory, safety, and strategic decisions.

• Provide line management and leadership to a cross-functional RWE team, including staffing, performance management, coaching, and professional development.

• Serve as a scientific and technical leader for end-to-end RWE and observational studies, from study design through execution, analysis, and interpretation.

• Apply epidemiologic principles and real-world data methodologies to outcomes research, late-phase development, and regulatory-relevant use cases.

• Lead and coordinate cross-functional scientific teams, including epidemiologists, biostatisticians, data scientists, and analysts, within a matrixed, Sponsor-dedicated environment.

• Oversee delivery of global or multi-regional evidence generation programs, accounting for geographic considerations in data availability, regulatory expectations, and study design.

• Ensure high-quality, inspection-ready delivery of RWE work streams, including adherence to timelines, standards, and Sponsor expectations.

• Support onboarding, training, and ongoing competency development of RWE staff.

• Partner closely with Sponsor stakeholders and internal functions to ensure alignment, clear communication, and timely issue escalation.

• Drive continuous improvement across RWE operations, including documentation, compliance, process rigor, and quality control.

• You are a trained epidemiologist or quantitative scientist who has evolved into a people leader and scientific strategist. You enjoy mentoring teams, setting scientific direction, and translating complex real-world data into credible, actionable evidence.

• Formal training in epidemiology or a closely related quantitative discipline, with applied experience in real-world data research.

• Proven experience managing and developing scientific teams, with accountability for performance, quality, and delivery.

• Hands‑on ownership of end‑to‑end RWE or observational studies, including use of secondary data sources such as claims, EHR, registries, or clinico‑genomic data.

• Experience supporting late‑phase and…