Sr. Bioinformatics Scientist - DNA Technology Development & Applied AI
Tasks
- Assess feature feasibility and performance
- Design cell free genomics platforms
- Develop liquid biopsy products
- Execute scientific experiments and projects
- Generate biological insights
- Model and analyze large genomics datasets
- Publish results and present at conferences
- Train large language models on genomic data
Perks/Benefits
Skills/Tech-stack
Cancer Genomics | Deep learning | Foundation Models | Genome Sequencing | Genomics | Language Models | Large Language Models | Liquid biopsy | Liquid biopsy analysis | Machine Learning | Mutational Signatures | Python | R | Sequence Modeling | Somatic Variant Calling | Structural variation | Tumor Evolution | Variant Filtering | Variant calling | Whole-genome sequencing
Education
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