Founding Genomics Machine Learning Engineer

Founding Genomics Machine Learning Engineer Engineering & Research Engineer the core ML infrastructure for our genomics platform, powering the integration. Contribute to capabilities like gene essentiality scoring, VUS resolution, and multi-modal AI validation for precision oncology. ResponsibilitiesImplement and optimize Evo2-based models for variant impact prediction (95.7% ClinVar AUROC).Develop the S/P/E fusion engine combining sequence, pathway, and evidence signals.Build scalable ML pipelines for features like synthetic lethality analysis and resistance prediction.Collaborate on validation benchmarks for oncology use cases (e.g., BRCA1/2, multiple myeloma).Optimize model inference for real-time clinical decision support.What we are looking for✓ MS/PhD in ML, Bioinformatics, or related field with 3+ years in genomics AI. ✓ Experience with large language models (e.g., Evo2, transformers) and genomic datasets (ClinVar, TCGA). ✓ Proficiency in PyTorch/TensorFlow and scalable ML infrastructure (e.g., AWS SageMaker). ✓ Strong publication record in computational biology or AI for healthcare. Nice to HaveExperience with AlphaFold, ESMFold, or other structural biology models.Knowledge of pathway databases (KEGG, Reactome) and evidence synthesis.Experience with production ML systems serving healthcare applications.