Senior Director of AI Diagnostics
Natera · San Carlos, CA
About this role
**Natera is hiring: Senior Director of AI Diagnostics** Natera is looking for a scientific leader to lead the research, development, and clinical translation of AI and computational algorithms for oncology diagnostics—from research prioritization through validation, deployment, and ongoing performance monitoring. You’ll help turn Natera’s longitudinal oncology data (tumor genomics, ctDNA, transcriptomics, pathology images, and clinical outcomes) into multimodal AI products that change how oncologists treat patients. --- ## Key Responsibilities - **Build and lead the team:** Grow the algorithm research team, hire key talent, and set a high bar for scientific rigor and execution. - **Own the path from research to launch:** Establish development milestones and evidence-based go/no-go criteria from feasibility through validation and launch, with reproducible analyses and documented decisions. - **Set strategy with Product:** Partner with Product, Clinical, and Commercial leaders to prioritize clinical use cases, define intended use and success criteria, and make investment/continuation/stop decisions based on evidence, feasibility, and clinical/business value. - **Push the technical frontier:** Bring in foundation models and multimodal deep learning, and turn data into differentiated products. - **Deliver with quality:** Ensure clean data, rigorous validation, and post-launch monitoring so algorithms hold up for clinicians, patients, and regulators. --- ## Qualifications - **Education:** Ph.D. in Bioinformatics, Computational Biology, Machine Learning, Biostatistics, or a related quantitative field (Master’s with substantial additional experience considered). - **Leadership & program ownership:** Substantial experience developing computational products, including sustained leadership of multidisciplinary teams and ownership of complex development programs through clinical deployment (scope/impact comparable to Senior Director more important than title). - **Foundation model strategy:** Ability to define and advance a foundation model research strategy (representation learning, pretraining, adaptation, evaluation), and translate a clinically grounded vision into a research roadmap. - **End-to-end accountability:** Demonstrated accountability taking at least one AI/ML or computational algorithm from research through validation and clinical deployment in a diagnostic product, including decision-making, validation responsibilities, cross-functional leadership, and post-launch results. - **Regulated diagnostics validation:** Strong understanding of analytical and clinical validation for regulated diagnostics and what regulators expect for AI-based products. - **Oncology modality depth + breadth:** Depth in at least one oncology modality (e.g., NGS, liquid biopsy, transcriptomics, whole-slide imaging) with enough breadth to lead across modalities; able to challenge model design, data assumptions, evaluation methods, and Python-based analyses in technical reviews. - **People leadership & stakeholder influence:** Experience managing people managers and developing technical leaders; influence senior stakeholders across R&D, Quality, Regulatory, Clinical, and Commercial without direct authority. - **Deployment & lifecycle management:** Experience overseeing algorithm deployment and lifecycle management (reproducible implementation, model/data versioning, release controls, and post-launch performance monitoring) with Engineering and Quality. --
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