Senior Director, AI Diagnostics
Natera · US Remote
About this role
**Natera is hiring: Senior Director, AI Diagnostics** Natera is seeking a scientific leader to drive the research, development, and clinical translation of AI and computational algorithms for oncology diagnostics—from research prioritization through validation, deployment, and ongoing performance monitoring. Natera’s longitudinal oncology data spans tumor genomics, ctDNA, transcriptomics, pathology images, and clinical outcomes—enabling the development and validation of models across molecular, imaging, and clinical data. In this role, you’ll turn that data into multimodal AI products that help change how oncologists treat patients. --- ## What you’ll do - **Build and lead the team:** Grow the existing algorithm research team, hire key talent, and set a high bar for scientific rigor and execution. - **Own the path from research to launch:** Define 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 translate data into differentiated products. - **Deliver with quality:** Ensure algorithms are built on clean data, validated rigorously, and monitored after launch for clinicians, patients, and regulators. --- ## Key responsibilities - Grow and lead a multidisciplinary algorithm team - Establish evidence-based milestones and validation criteria - Guide foundation model strategy grounded in representation learning, pretraining, adaptation, and evaluation - Take accountability for at least one AI/ML or computational algorithm through validation and clinical deployment - Ensure understanding of analytical and clinical validation for regulated diagnostics - Lead across oncology modalities (e.g., NGS, liquid biopsy, transcriptomics, whole-slide imaging) - Manage people managers and develop technical leaders; build processes teams adopt - Oversee deployment and lifecycle management (reproducible implementation, model/data versioning, release controls, post-launch monitoring) --- ## Qualifications - **Ph.D.** in Bioinformatics, Computational Biology, Machine Learning, Biostatistics, or a related quantitative field (Master’s with substantial additional experience considered) - Substantial experience developing computational products, including sustained leadership of multidisciplinary teams and ownership through clinical deployment - Demonstrated ability to define and advance a **foundation model research strategy** and translate a clinically grounded vision into a roadmap - Demonstrated accountability for taking an AI/ML/computational algorithm from research through clinical deployment in a diagnostic product - Strong understanding of analytical + clinical validation for regulated diagnostics - Depth in at least one oncology data modality, with breadth to lead across modalities - Experience managing people managers and influencing senior stakeholders across R&D, Quality, Regulatory, Clinical, and Commercial - Experience overseeing algorithm deployment and lifecycle management with Engineering and Quality --- ## Preferred qualifications - **Multimodal experience** (mod
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