Senior Director, AI Diagnostics

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the research, development, and clinical translation of AI and computational algorithms for oncology diagnostics.

• Develop the foundation model strategy utilizing longitudinal molecular, imaging, and clinical data.

• Lead and expand the algorithm research team, recruit essential talent, and set standards for scientific rigor and execution.

• Define development milestones and evidence-based go/no-go criteria spanning from feasibility to validation and launch.

• Collaborate with Product, Clinical, and Commercial leaders to prioritize clinical use cases and establish intended use and success metrics.

• Make decisions regarding investments, continuations, and terminations based on evidence, feasibility, and both clinical and business value.

• Implement foundation models and multimodal deep learning to develop unique diagnostic products.

• Ensure algorithms utilize clean data, undergo thorough validation, and receive ongoing monitoring post-launch.

• Manage algorithm deployment and lifecycle in collaboration with Engineering and Quality teams.

⛳️ Requirements

• Ph.D. in Bioinformatics, Computational Biology, Machine Learning, Biostatistics, or a related quantitative discipline; a Master’s degree with significant additional experience may also be accepted.

• Extensive experience in developing computational products, leading multidisciplinary teams, and managing complex development programs through clinical deployment.

• Proven track record in defining and advancing a foundation model research strategy, including aspects like representation learning, pretraining, adaptation, and evaluation.

• Responsibility for guiding at least one AI/ML or computational algorithm from the research phase through validation and clinical deployment within a diagnostic product.

• Strong grasp of analytical and clinical validation requirements for regulated diagnostics and expectations from regulators regarding AI-based products.

• Expertise in at least one oncology data modality, such as NGS, liquid biopsy, transcriptomics, or whole-slide imaging, along with a broad understanding across modalities.

• Capability to critically assess model design, data assumptions, evaluation techniques, and Python-based analyses through technical reviews.

• Experience in managing people managers, nurturing technical leaders, and influencing senior stakeholders across R&D, Quality, Regulatory, Clinical, and Commercial sectors.

• Proficient in overseeing algorithm deployment and lifecycle management, including reproducible implementation, model and data versioning, release controls, and post-launch performance monitoring.

• Preferred qualifications include experience with multimodal modeling, deployed products/patents/publications, external algorithm partnerships, MLOps/model registries/large-scale training environments, and claims/EHR/registry data.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability plans for eligible employees and their dependents.

• Complimentary testing for Natera employees and their immediate family members.

• Fertility care benefits.

• Leave for pregnancy and baby bonding.

• 401k benefits.

• Commuter benefits.

• Employee referral program.