Genomics –AI Engineer Intern
Tasks
- Build deep learning models for sequence analysis
- Build variant effect prediction models
- Design machine learning pipelines
- Develop biomedical natural language processing
- Engineer data ingestion and feature engineering
- Ingest GWAS RNA seq and epigenomic data
- Integrate multi omics and clinical datasets
- Integrate summary level data sources
- Model gene expression
- Optimize machine learning models
- Train evaluate and serve AI models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Bioinformatics | Databricks | Deep learning | Diffusion Models | EQTL | GWAS | Genomics | Graph Neural Networks | LoRA | Machine Learning | Neural Networks | PQTL | PWAs | PheWAS | Python | RLHF | RNA-seq | SQL | Supervised Learning | TWAS | Transformers | Unsupervised Learning
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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