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.

Responsibilities

• Implement 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.

Requirements

✓ 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 Have

• Experience 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.