PHO Tech SETA Aging Biology - Remote

Overview

The PHO Tech SETA Aging Biology position involves supporting the development and execution of new programs in the field of aging biology, requiring a strong background in data science and machine learning.

In Short

• Fully remote position.
• Requires a PhD or MD in relevant fields.
• Strong background in statistical and machine learning techniques.
• Experience in training and developing machine learning models.
• Relevant work experience in aging, biology, or healthcare.
• Proficiency in programming languages like R and Python.
• Knowledge of high throughput screens and -omics analysis.
• Preferred knowledge in aging biology and healthspan metrics.
• Excellent organizational and communication skills required.
• Role involves collaboration with ARPA-H Program Manager and technical staff.

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, including addressing challenges with data quality and variability.
• Relevant work experience applying data science and machine learning techniques in the field of aging, biology, or healthcare, with a proven record of publications and/or in-depth work.
• Strong understanding of programming languages used in bioinformatics (e.g., R, Python).

Benefits

• Opportunity to work on innovative programs in aging biology.
• Collaboration with experts in various technologies and disciplines.
• Flexible working environment due to remote nature of the job.
• Engagement in meaningful research impacting healthcare.
• Professional development opportunities in a cutting-edge field.