Director of Machine Learning

Role Overview

A biotechnology client is seeking an Associate Director to lead computational biology and machine learning initiatives. The focus is on developing blood-based cancer detection tests using advanced machine learning techniques applied to whole-genome sequencing data.

Key Responsibilities

Design and implement machine learning models for analyzing cell-free DNA (cfDNA) fragment patterns to aid in early cancer detection.

Collaborate with cross-functional teams, including bioinformatics, clinical, and laboratory scientists, to integrate computational methods into diagnostic workflows.

Oversee data analysis pipelines, ensuring scalability and robustness for clinical applications.

Contribute to the development of regulatory documentation and publications related to computational methodologies.

Preferred Qualifications

Advanced degree (Ph.D. or equivalent) in computational biology, bioinformatics, computer science, or a related field.

Extensive experience in developing and deploying machine learning models, particularly in the context of genomic data.

Proficiency in programming languages such as Python or R, and experience with cloud computing platforms.

Strong publication record in peer-reviewed journals and conferences.

Compensation

The base salary range for this position is $180,000 to $263,000 annually, commensurate with experience and qualifications.

This role offers an opportunity to contribute to cutting-edge cancer diagnostics through the application of computational and machine learning techniques.