Tech SETA Aging Biology Opening #642

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Requirements:

• PhD or MD degree in Biology, Biochemistry, Pharmacology, Bioinformatics, Public Health, Computer Science, Machine Learning, Engineering, or a related discipline.
• Strong background in statistical and machine learning techniques for high-dimensional data analysis.
• Proven experience in training and developing machine learning models.
• Relevant work experience in aging, biology, or healthcare.
• Strong understanding of programming languages used in bioinformatics (e.g., R, Python).
• Knowledge of high throughput screens and -omics analysis.

Responsibilities:

• Support the development and execution of new programs related to aging biology.
• Work in collaboration with an ARPA-H Program Manager on various projects.
• Engage with technical support staff across different technologies and disciplines.