Sr. Director, Data Science, Patient Identification

Role Summary

Sr. Director, Data Science, Patient Identification who thrives at the frontier of machine learning, healthcare data, and translational analytics. You’ll shape data-driven strategies to uncover undiagnosed patients, accelerate diagnosis, and drive smarter decisions across our rare disease portfolio.

Responsibilities

• 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

Qualifications

• Required: 10+ years of experience in data science or analytics within biotech/pharma; 3+ years in a leadership role
• Required: 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)
• Required: 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
• Required: Proven success translating analytics into actionable strategies that drive measurable patient or business outcomes
• Required: Bachelor’s degree in data science, computer science, statistics, or a related quantitative field
• Required: 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
• Preferred: Familiarity with generative AI, LLMs, or graph-based learning applied to healthcare or biomedical data

Education

• Bachelor’s degree in data science, computer science, statistics, or a related quantitative field
• Advanced degree (PhD, MS, MPH) in data science, biostatistics, computer science, or related field (Preferred)