Job Description

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.

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