Sr. Director, Data Science, Patient Identification

Mavericks Wanted

What You'll Do

Responsibilities

Strategic Data Science Leadership

• Spearhead a high-performing data science function focused on patient identification and provider targeting
• Identify, source, and integrate (tokenized) data assets in the pursuit of finding rare disease patients and treating HCPs across the portfolio for BrigeBio companies. Define the vision, priorities, and key success metrics for data science initiatives across multiple rare disease programs
• Architect scalable analytical solutions using RWD (claims, EHR, genomics, lab data, imaging, and registry sources)
• Define the roadmap for AI/ML innovation, balancing cutting-edge research with production-grade reliability
• Build and foster a collaborative, mission-driven culture grounded in an enterprise perspective (use of data and data science work across the organization), precision, urgency, and patient impact

Advanced Analytics & Machine Learning

• Design predictive models, algorithms, and patient finding tools using real-world data (claims, EMR, lab/genomics). Apply NLP and LLM techniques to extract phenotypic signals from unstructured EMR data
• Pioneer new methodologies in AI/ML for patient identification, leveraging subtle clinical and diagnostic patterns. Design and execute experiments with different approaches to patient finding
• Build frameworks for model monitoring, retraining, and performance evaluation in real-world deployment environments
• Design and deploy supervised and unsupervised models for patient finding, diagnostic acceleration, and disease progression prediction. Translate complex insights into actionable strategies for field execution, engagement planning, and clinical partnerships

Data Strategy & Infrastructure

• Drive the development of robust data pipelines, governance frameworks, and scalable model-serving infrastructure
• Evaluate and integrate third-party data (claims, genomics, HCP, diagnostic lab feeds) to enhance model accuracy and reach
• Partner with outside vendors and internal resources to operationalize analytics solutions across BridgeBio’s portfolio
• Champion best practices in reproducibility, version control, and MLOps

Cross-Functional Collaboration

• Partner with Commercial, Medical Affairs, and Computational Genomics teams to integrate analytic insights into decision-making
• Engage with KOLs and data partners to identify early clinical signals that inform algorithmic models

Operational Excellence

• Establish program-level KPIs, dashboards, and reporting frameworks to track performance and continuously improve model accuracy
• Ensure compliance with HIPAA, privacy, and ethical data governance standards
• Manage external vendors and partnerships to expand analytic capabilities and accelerate delivery

Where You'll Work

Who You Are

Required

• 10+ years of experience in data science or analytics within biotech/pharma; 3+ years in a leadership role
• Proven expertise in real-world data (RWD) analytics, patient identification, and segmentation across multiple therapeutic areas. Experience with large-scale real-world data (claims, EMR/EHR, lab/genomics, registry, or wearable data)
• Experience developing and deploying sophisticated ML/statistical models using large-scale health data. Deep expertise in building predictive and classification models using Python, R, SQL, TensorFlow, PyTorch, or equivalent tools. Strong understanding of feature engineering, model explainability, and ML pipeline automation
• Proven success translating analytics into actionable strategies that drive measurable patient or business outcomes
• Bachelor’s degree in data science, computer science, statistics, or a related quantitative field
• Experience in rare disease analytics or patient-finding programs that supported commercial launches or diagnostic initiatives

Preferred

• Advanced degree (PhD, MS, MPH) in data science, biostatistics, computer science, or related field
• Familiarity with generative AI, LLMs, or graph-based learning applied to healthcare or biomedical data

Rewarding Those Who Make the Mission Possible

Financial 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

Health & Wellbeing:

• 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

Skill Development & Career Paths:

• People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility
• We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, Spring Health & BetterUp Coaching
• We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities