About:

Flahy is a healthcare technology firm that develops artificial intelligence driven precision medicine products and collaborates with institutions for the development of targeted therapies. Flahy has developed FlahyBase, a digital biology platform that leverages sophisticated statistical & computational capabilities to analyze -omics and medical imaging data across individuals and populations for prognosis, personalizing treatment, and target discovery. FlahyRecovery™ is Flahy’s first precision medicine product built on top of the FlahyBase platform.

Position Responsibilities:

• Conducting product focused Research and Development. This would involve designing mathematical/statistical models for analysis of large graphical, high-dimensional, and multi-modal data.
• Design and train machine learning models for featuring learning, segmentation, and classification from medical imaging data.
• Maintain and continue to develop in-house developed -omics data analysis software.
• Exploration and deployment of external algorithms, software, and tools for -omics data analysis.
• Work with team members at Flahy to develop the computational platform and a proprietary database of sequenced and imaged tissue data.
• Multi-task in a fast-paced environment.

Minimum Requirements:

• An MSc. or a Ph.D. in mathematics, statistics, physics, computer science, biomedical engineering, or related quantitative field. Or a B.Tech/B.Eng/B.Sc from a credible institution.
• Research experience in mathematics, theoretical physics, or machine/statistical learning.
• Credible publications or preprints are a plus.