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BridgeBio

Associate Director, Biostatistics – AI

BridgeBio

Associate Director handling statistical analyses and AI integration in biostatistics for drug development. Collaborating with cross-functional teams in a remote U.S.

Posted 5/15/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $173,800 - $217,000 per yearWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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

ATS Keywords

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Hard Skills & Tools
biostatisticsstatistical analysisAIMLSASRPythonBayesian methodsstatistical methodologieshypothesis testing
Soft Skills
cross-functional collaborationteam managementcommunicationleadershiporganizational skills
Certifications
PhDMaster’s degree