Biostatistician II

About ADVI Health

ADVI Health:
Expert Advice. Clear Vision. Since 2013, clients have sought ADVI Health’s expert advice, informed by data and guided by a clear vision of the complex intersection of life sciences/healthcare innovation, economics, policy, and patient impact. Our aim is to be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators, worldwide. We are a collaborative team of consultants and advisors, all of whom are veterans of top healthcare and life sciences organizations, the federal government, state government, top consultants, nonprofits, commercial payers, or data and analytics companies.

Our work cuts through complexity across asset, franchise, corporate, and executive level strategy, shapes markets, and enables therapies to launch faster, smarter, and at scale in multiple therapeutic areas, lifecycle stages, and areas of the world. Our global client roster includes biopharma manufacturers, Med Tech, precision medicine diagnostics and tools companies, and cancer provider and patient organizations, from the C-suite down and across the product lifecycle.

We solve complicated problems with data-informed commercialization, market access, and policy expertise. Based in Washington, DC and Austin, TX, the company delivers insight- and data-informed advice and vision for leaders in healthcare business and policy. ADVI offers a comprehensive perspective by integrating business, policy, and science to find creative solutions through data, learned insight, and compelling strategy to help clients make decisions across all healthcare segments.

ADVI is at the forefront of healthcare delivery transformation, payment reform, public and private payer coverage, and healthcare merger and acquisition deal flow within the US and abroad.

As a Biostatistician at ADVI Health, you will play a central role in advancing the statistical rigor and scientific impact of our work. Your day‑to‑day duties include designing, executing, and documenting analyses with a strong emphasis on causal inference methods, developing and owning complex statistical analysis plans from inception to delivery, and authoring statistical sections of study reports, protocols, and proposals.

You will serve as a trusted methodological resource for cross‑functional teams navigating complex analytical challenges and will deliver insights that inform critical decisions and strengthen long‑term partnerships. You will build and maintain robust, reproducible SAS pipelines, with R or Python experience a welcome complement to your core programming toolkit.

• Design, execute, and document rigorous statistical analyses across observational studies and clinical trials, applying advanced causal inference methods to generate credible, decision‑grade evidence.
• Develop statistical analysis plans (SAPs) of varying complexity, translating scientific objectives into analytically sound, executable strategies aligned with client requirements.
• Proactively identify, evaluate, and integrate emerging statistical methods and best practices to keep pace with the evolving demands of life sciences research and market access evidence generation.
• Author clear, precise statistical sections of study reports, research protocols, and client proposals that effectively communicate methodology and findings to both technical and non‑technical audiences.
• Serve as a statistical and methodological authority for cross‑functional project teams, providing expert guidance that shapes study design, analytical approach, and interpretation of results.
• Develop and maintain advanced SAS programming workflows to support efficient, reproducible analysis pipelines across client engagements; proficiency in R or Python is a valued complement to core programming capabilities.
• Establish and enforce rigorous quality control processes to ensure all statistical analyses and programming outputs meet the highest standards of accuracy, reproducibility, and timeliness.

• Ph.D. or M.S. in Biostatistics, Statistics, Epidemiology, or a related field.
• 7–12 years of experience in…