Associate Director, Biostatistics & AI

About this role

<div class="content-intro"><p><span style="text-decoration: underline;"><strong><span data-contrast="auto">Mavericks Wanted</span></strong><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></span></p> <p><span data-contrast="auto">When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on</span> <br><span data-contrast="auto"> </span> <br><span data-contrast="auto">In 2015, we pioneered a “moneyball for biotech” approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. </span> <br><span data-contrast="auto"> </span> <br><span data-contrast="auto">Together we define white space, push boundaries, and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of biopharma. At BridgeBio, we value curiosity and experimentation—including the ethical & thoughtful use of AI to improve clarity, speed, and quality of work.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p></div><h3><span style="color: #1b3a6b;"><strong>What You’ll Do</strong></span></h3> <p><span style="color: #111111;">The Associate Director, Biostatistics & AI is a senior individual contributor and emerging people leader responsible for the delivery of high-quality statistical analyses and for designing, building, and embedding AI/ML interfaces into the day-to-day workflows of the biometrics function. This role sits at the intersection of pharmaceutical statistical science and applied AI engineering — and is the primary internal resource for setting up, validating, and governing AI tooling in a GxP-compliant environment.</span></p> <p><span style="color: #111111;">A successful candidate will bring either deep pharmaceutical biometrics expertise with growing AI/ML skills, or strong AI/ML engineering experience with meaningful exposure to clinical or life sciences data. In either case, they will have the drive and aptitude to rapidly bridge both domains. They will work across cross-functional teams including Clinical Development, Regulatory Affairs, Medical Affairs, and Pharmacovigilance, and will manage CRO statisticians and programmers on assigned programs.</span></p> <p><span style="color: #1b3a6b;"><strong>Responsibilities</strong></span></p> <p><span style="color: #111111;"><strong>Pharmaceutical Biostatistics</strong></span></p> <p>•    <span style="color: #111111;">Apply appropriate statistical methodologies supporting medical insights, value demonstration, safety monitoring, and lifecycle management</span></p> <p>•    <span style="color: #111111;">Contribute to statistical design, analysis, and reporting for Phase II–IV clinical trials, including adaptive designs, Bayesian methods, and estimands under ICH E9(R1)</span></p> <p>•    <span style="color: #111111;">Contribute to NDA, BLA, MAA, and other global regulatory submissions as lead or co-statistician; support responses to health authority queries</span></p> <p>•    <span style="color: #111111;">Stay current with FDA, EMA, and ICH guidance on statistical methodology, and real-world evidence (RWE)</span></p> <p><span style="color: #111111;"><strong>AI Interface Setup & Implementation</strong></span></p> <p>•    <span style="color: #111111;">Design and implement AI/ML interface environments connecting biometric platforms (SAS, R, Python) with enterprise LLM APIs, RAG pipelines, and clinical data repositories</span></p> <p>•    <span style="color: #111111;">Build, test, and iterate on AI-powered tools for SAP drafting, TFL automation, anomaly detection, protocol deviation identification, and regulatory document support</span></p> <p>•    <span style="color: #111111;">Establish and maintain MLOps pipelines for model development, validation, deployment, and monitoring within a GxP-compliant, audit-ready framework</span></p> <p>•    <span style="color: #111111;">Implement AI governance standards including explainability (SHAP/XAI), bias assessment, and 21 CFR Part 11 / EU Annex 11 compliant documentation</span></p> <p>•    <span style="color: #111111;">Evaluate and deploy AI-powered…