Founding Genomics ML Engineer - Remote, Equity, Oncology AI

CrisPRO.ai; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Health insurance

Flexible work

Publication support

AI datasets access

Job summary

CrisPRO.ai in San Francisco Bay Area is seeking a founding engineer to build the core ML infrastructure for our genomics platform, supporting Evo2 integration and the S/P/E framework for oncology. You will implement scalable ML pipelines, optimize models for real-time clinical decision support, and collaborate on validating benchmarks for BRCA1/2 and multiple myeloma, with access to cutting-edge AI models.

This role offers competitive salary, equity, health benefits, and flexible work

Qualifications

• 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.

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.

Skills

Genomics AI

PyTorch

TensorFlow

AWS SageMaker

LLMs

Publications

Education

MS/PhD in ML or Bioinformatics

Job description

CrisPRO.ai in San Francisco Bay Area is seeking a founding engineer to build the core ML infrastructure for our genomics platform, supporting Evo2 integration and the S/P/E framework for oncology. You will implement scalable ML pipelines, optimize models for real-time clinical decision support, and collaborate on validating benchmarks for BRCA1/2 and multiple myeloma, with access to cutting-edge AI models.

This role offers competitive salary, equity, health benefits, and flexible work