STAGE Intern Data Scientist

In this role, you will lead analyzing some of the largest, richest biological datasets in the world to find biological signals and patterns and guide our assays, bioinformatic pipelines, and product strategies. Working closely with scientists, clinicians, and engineers, you will develop machine learning and statistical methods to pull signals out of multiomics data and identify Alzheimer's at its earliest stages. You will develop and experiment with machine learning models operating across AgenT’s data sets, public data, and data from collaborators in academia and industry. Your analysis will result in exciting discoveries in Alzheimer's biology, impactful publications, and products for early detection of cancer.

You Will:
- Develop AgenT’s deep bench of knowledge in bioinformatics, machine learning, statistics, and data science.
- Modeling and analysis of large, complex genomics datasets using advanced machine learning and statistical methods to generate predictions and biological insights.
- Create and perform end-to-end analysis that include design, data gathering, processing, analysis, iteration with stakeholders, and presentation of results.
- Interact cross-functionally with other teams including software, clinical, operations, research, and product development.
- Promulgate approaches and build tools that preserve scientific rigor and quality and which maintain AgenT’s statistical culture.
- Maintain an active external scientific presence.