BridgeBio is looking to solve the business and technical problem of identifying and diagnosing patients with rare diseases faster and more efficiently by leveraging advanced data science and machine learning techniques. The goal is to accelerate the development of life-changing medicines for patients with unmet needs.
Requirements
- 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
- Experience in rare disease analytics or patient-finding programs that supported commercial launches or diagnostic initiatives
- Familiarity with generative AI, LLMs, or graph-based learning applied to healthcare or biomedical data
Responsibilities
- Develop approaches and models (AI/ML/traditional statistics) that find patients, detect disease patterns that are indicative of an undiagnosed rare disease, shape data strategies, and feed targeting engines that directly change patients' and families' lives.
- Spearhead a high-performing data science function focused on patient identification and provider targeting
- 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
- 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.
- Drive the development of robust data pipelines, governance frameworks, and scalable model-serving infrastructure
Other
- 3+ years in a leadership role
- 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
- 3x per week in our San Francisco Office/Palo Alto Office.
- Advanced degree (PhD, MS, MPH) in data science, biostatistics, computer science, or related field
