Director, Precision Medicine Data Science & AI

Key Responsibilities

• Lead end-to-end development and deployment of patient identification, HCP targeting AI/ML, ensuring clinical validity and commercial impact across therapeutic areas.
• Design clinical decision support (CDS) algorithms to improve patient outcomes via accelerating time to diagnosis, and treatment leveraging real-world data sources including claims, EHR, lab, genomic, patient generated health data, and registry data.
• Own and advance external partnership strategies with health systems, AI/CDS vendors to integrate these algorithms into clinical workflows leading to measurable impact on clinical outcomes.
• Architect scalable model lifecycle frameworks — from ideation through development, validation, deployment, monitoring, optimization, and sunsetting — ensuring governance, fairness, and reproducibility.
• Navigate regulatory and compliance requirements related to AI/ML in healthcare, including FDA CDS guidance frameworks, HIPAA, and anti-kickback safe harbor considerations.
• Collaborate cross-functionally with Brand/Marketing, Medical Affairs, HEOR, Legal/Compliance, Field Teams, and Patient Support to translate clinical and commercial needs into actionable AI/ML solutions.
• Drive integration of advanced AI technologies including large language models (LLMs), generative AI, deep learning, and foundation models into precision medicine workflows where applicable.
• Develop go-to-market frameworks and field activation resources that enable model-adjacent materials for commercial teams to act on model outputs.
• Champion a culture of experimentation, continuous improvement, and scientific rigor — contributing to peer-reviewed publications, conference presentations, and open-source model externalization where appropriate.

Essential Requirements

• Master's degree required; PhD or doctoral degree preferred. Relevant fields: Data Science, Computer Science, Bioinformatics, Health Informatics, Computational Biology, Statistics, Epidemiology, or related quantitative/health sciences discipline. Clinical or health-focused education or research background is a plus.
• Minimum 10+ years of experience in data science, AI/ML, or digital health, with at least 5 years in pharmaceutical, medical device, health-tech, or digital health settings.
• Demonstrated hands-on expertise building and deploying machine learning models (classification, NLP, deep learning, recommendation systems) using Python, Spark, TensorFlow, PyTorch, or equivalent.
• Experience designing and executing model validation frameworks — ensuring accuracy, reliability, clinical validity, and reproducibility of AI/ML algorithms prior to clinical or commercial deployment.
• Proven experience with cloud-based ML infrastructure (AWS, Azure, GCP) for scalable model deployment.
• Deep working knowledge of healthcare data: EHR (structured and unstructured), medical/pharmacy claims, lab results, genomic data, and patient registries.
• Working knowledge of clinical terminologies and coding systems (e.g., ICD-10, SNOMED CT, LOINC, RxNorm, CPT) used in model feature engineering and clinical data interpretation.
• Proven ability to communicate complex AI/ML concepts and strategies to senior executive leadership and non-technical audiences, translating technical outputs into business value narratives.
• Experience implementing or partnering on AI/ML solutions in clinical or healthcare delivery settings, including clinical decision support integration into EHR workflows.
• Track record managing external partnerships with health systems, AI/CDS vendors, EHR platforms, data aggregators, or digital health companies.
• Working knowledge of regulatory and compliance landscape for AI in healthcare: FDA CDS frameworks, HIPAA, anti-kickback statutes.
• Knowledge of large language models (LLMs) such as GPT, BERT, Cohere, and their practical applications in healthcare and commercial pharma.

Desirable Requirements

• External thought leadership (publications, conference presentations, industry working groups) is a plus.

Salary: $194,600 - $361,400 per year. Plus performance-based cash incentive and equity. Comprehensive benefits package (health, 401k, time off).