Machine Learning Researcher, Genomic AI
Residence Based, Residence Based, US
USD 110K-150K Senior-level Full Time
Tasks
- Collaborate with biologists geneticists and breeders to validate predictions
- Connect genotype to phenotype across environments
- Design train and evaluate deep learning models on omic datasets
- Develop and fine tune genomic language models for DNA RNA sequences
- Identify high value genome editing targets
- Integrate heterogeneous biological data into unified predictive frameworks
- Operationalize models in genomic selection pipelines and decision support platforms
- Predict functional consequences of genetic variation
- Publish research findings and prepare technical reports
Perks/Benefits
Skills/Tech-stack
API Development | Attention Mechanisms | Attention visualization | Cloud Computing | Containerization | Contrastive Learning | Deep learning | Distributed Training | Explainable AI | Feature attribution | GPU clusters | Genomic Language Models | Graph Neural Networks | HPC | In Silico Mutagenesis | Interpretability | JAX | Language Models | MLOps | Machine Learning | Multi-Modal | Multi-Modal Learning | Multi-Omics | Multi-Omics Integration | Neural Networks | Omics integration | PyTorch | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Supervised Learning | TensorFlow | Transfer Learning | Transformers
Education
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