Job Description
As an Artificial Intelligence Researcher, you will build production-grade machine learning systems for bioinformatics applications. You will partner closely with genomic analysts, diagnosticians, data engineers, and bioinformaticians to develop models and AI-enabled services that operate at scale across omics, clinical, and operational datasets, turning raw, messy data into reliable signals, predictions, and decision-support outputs.
This is a hands-on role spanning ML research and applied engineering, with strong emphasis on data quality, reproducibility, MLOps, and integration into bioinformatics pipelines.
Role and Responsibilities
Design and develop AI/ML solutions leveraging genomics/NGS, proteomics, methylation, transcriptomics, histopathology, and other clinical datasets.
Build end-to-end pipelines across the model lifecycle.
Apply statistical learning and ML to problems such as variant prioritization/ranking, cancer detection, rare disease classification et...
This is a hands-on role spanning ML research and applied engineering, with strong emphasis on data quality, reproducibility, MLOps, and integration into bioinformatics pipelines.
Role and Responsibilities
Design and develop AI/ML solutions leveraging genomics/NGS, proteomics, methylation, transcriptomics, histopathology, and other clinical datasets.
Build end-to-end pipelines across the model lifecycle.
Apply statistical learning and ML to problems such as variant prioritization/ranking, cancer detection, rare disease classification et...
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