Aging Biology

Summary

Join our team as a PHO Tech SETA Aging Biology expert and contribute to the development and execution of new programs supporting an ARPA-H Program Manager. This fully remote position in Washington D.C. requires a PhD or MD in a relevant scientific discipline and a strong background in statistical and machine learning techniques for high-dimensional data analysis. You will work closely with the Program Manager and other technical staff, applying your data science and machine learning expertise in aging biology or healthcare. The role demands proven experience in model training, addressing data quality challenges, and a strong understanding of bioinformatics programming languages. Excellent communication and technical writing skills are essential for conveying complex scientific information to diverse audiences.

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)
• Strong understanding of high throughput screens and -omics analysis

Responsibilities

• Support the development and execution of new programs in support of an ARPA-H Program Manager
• Work closely with the PM as well as other technical support staff with expertise in a variety of technologies and disciplines

Preferred Qualifications

• Knowledge of one or more of the following areas: aging biology, healthspan metrics, biomarkers, and application of AI in electronic health records
• Experience with longitudinal cohort studies or clinical trial data analysis
• Experience with biomarker discovery using omics
• Excellent organizational skill and ability to multi-task
• Analytical thinker and problem solver
• Strong technical writing skills
• Ability to communicate complex scientific ideas to broad audiences
• Rapid ability to learn new technical areas
• Willingness and ability to critically explore and evaluate emerging technology
• Ability to handle a wide variety of tasks, such as briefing support and general administrative actions
• Excellent organization, communication, and coordination

Benefits

The position will be fully remote