Associate Director, Biostatistics – AI

🕒 May 15

🇺🇸 United States – Remote

💵 $173.8k - $217k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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BridgeBio

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Biotechnology • Pharmaceuticals • Healthcare Insurance

BridgeBio is a biotechnology company focused on designing transformative medicines for patients with genetic diseases. It employs a novel approach to drug development by integrating finance with science to deliver solutions as efficiently as possible. The company is committed to developing not only life-changing drugs but also leaders in the field, encouraging hands-on engagement and the pursuit of innovation. BridgeBio actively seeks investment to help achieve its mission of providing solutions for unique patient populations with unmet needs. Headquartered in Palo Alto, CA, BridgeBio emphasizes bridging the gap between scientific advancements and patient care.

📋 Description

• The Associate Director, Biostatistics & AI is responsible for the delivery of high-quality statistical analyses • Designing, building, and embedding AI/ML interfaces into the day-to-day workflows of the biometrics function • Work across cross-functional teams including Clinical Development, Regulatory Affairs, Medical Affairs, and Pharmacovigilance • Manage CRO statisticians and programmers on assigned programs • Apply appropriate statistical methodologies supporting medical insights, value demonstration, safety monitoring, and lifecycle management • Contribute to statistical design, analysis, and reporting for Phase II–IV clinical trials, including adaptive designs, Bayesian methods, and estimands under ICH E9(R1)

🎯 Requirements

• PhD or Master’s degree in Biostatistics, Statistics, Computer Science, Artificial Intelligence, Data Science, or a closely related quantitative field • 5+ years (PhD) or 7+ years (Master’s) of pharmaceutical biostatistics experience in drug development, biotech, or CRO settings (Track A) or 3+ years of hands-on AI/ML engineering experience (Track B) • Expert-level proficiency in SAS and/or R; working knowledge of Python for data science or scripting • Demonstrated exposure to AI/ML tools — such as LLM APIs, prompt engineering, or automation scripting — with a strong interest in expanding these capabilities in a GxP environment • Deep knowledge of CDISC standards (SDTM, ADaM, Define-XML) and regulatory submission workflows; experience contributing to NDA/BLA/MAA preferred • Strong Python proficiency for AI/ML development; working familiarity with SAS and/or R in a statistical or data science context (Track B) • Meaningful exposure to clinical or life sciences data — e.g., working with clinical trial datasets, CDISC standards, pharmacovigilance data, or regulated environments (GxP/21 CFR Part 11) — with eagerness to deepen this domain expertise (Track B) • Foundational understanding of statistical concepts (e.g., hypothesis testing, regression, survival analysis) relevant to clinical development

🏖️ Benefits

• Market leading compensation • 401K with 100% employer match on first 3% & 50% on the next 2% • Employee stock purchase program • Pre-tax commuter benefits • Referral program with $2,500 award for hired referrals • Comprehensive health care with 100% premiums covered - no cost to you and dependents • Mental health support via Spring Health (6 therapy sessions & 6 coaching sessions) • Hybrid work model - employees have the autonomy in where and how they do their work • Unlimited flexible paid time off - take the time that you need • Paid parental leave - 4 months for birthing parents & 2 months for non-birthing parents • Flex spending accounts & company-provided group term life & disability • Subsidized lunch via Forkable on days worked from our office