Staff Scientist

Overview Black Canyon Consulting is seeking a Staff Scientist to work with a Principal Investigatory in the National Institutes of Health at the National Library of Medicine to support the development of high-fidelity artificial intelligence models designed to decode the functional landscape of the human and mouse genomes. This effort will leverage Telomere-to-Telomere (T2T) reference assemblies to advance understanding of gene regulation, particularly within complex and repetitive genomic regions. This position requires a unique combination of computational genomics expertise, machine learning proficiency, and scalable software engineering capabilities to support large-scale data integration and model development.

Lead the design, development, and implementation of AI-driven models for gene regulation analysis Architect and scale a TREDNet-based framework for cloud-native execution Optimize models for distributed, multi-GPU training environments Integrate and analyze large-scale genomic and epigenomic datasets, including: ENCODE / modENCODE NIH Roadmap Epigenomics UCSC Genome Database Apply AI methodologies to functionally annotate repetitive genomic regions, including centromeres and telomeres Develop and maintain scalable, containerized pipelines using Docker and/or Singularity Implement MLOps best practices, including experiment tracking, model versioning, and reproducibility Deploy and manage workflows in cloud environments (AWS, GCP, or Azure) Collabora