AI Research Engineer (Fully Remote; US Based)
Genomenon, Inc(5 months ago)
About this role
The AI Scientist Engineer will design, develop, and deploy advanced AI systems that integrate multimodal deep learning, graph machine learning, and causal inference to support biomedical intelligence. The role bridges cutting-edge research with production-grade engineering, applying models and systems to clinical and pharmaceutical use cases in rare disease. The position supports translation of research innovations into scalable, compliant production systems.
Required Skills
- Multimodal AI
- Graph ML
- Transformers
- Causal Inference
- Python
- PyTorch
- JAX
- Distributed Training
- Large Datasets
- Model Safety
+4 more
Qualifications
- PhD in Relevant Field
- Master's in Relevant Field
About Genomenon, Inc
genomenon.comGenomenon provides a genomic evidence platform that aggregates, indexes, and curates published literature and clinical data at the gene and variant level to deliver actionable evidence for diagnosis and precision medicine. Its tools (including the Mastermind literature- intelligence offering) align variant interpretation with ACMG/AMP standards to help clinical diagnostic labs, researchers, and biopharma accelerate variant classification, biomarker discovery, and treatment decisions. The company emphasizes comprehensive, up-to-date literature mining and evidence tracking to improve confidence and speed in genomic decision-making for rare disease and cancer.
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