Director of AI , Artificial Intelligence Clinical

Qualifications

• Digital Pathology Image Analysis (Required Experience)

• Ph.D. degree from an accredited institution in Computer Science, Computational Biology, Bioinformatics, Machine Learning, Biostatistics, Computer Vision, or a related field with a focus on artificial intelligence, machine learning, and statistics

• 7+ years of experience in AI/ML research and development, particularly in oncology or healthcare applications, with a proven track record of leading projects from inception to clinical implementation

• Extensive knowledge of oncology clinical practices, including diagnostics, genomics, and therapeutic strategies

• Proficiency in AI/ML programming languages and frameworks (e.g., Python, R, TensorFlow, PyTorch, LLMs)

• Strong leadership skills, excellent communication abilities, and a knack for fostering collaboration across diverse scientific and clinical teams

• Understanding of digital pathology and basic pathology-related images (different stains as well as their purpose)

• Must enjoy working in a multi-disciplinary and collaborative environment

• Ability to troubleshoot both individually and as part of a team

• Excellent oral and written skills with the ability to communicate in an open, transparent, timely, and consistent manner

Responsibilities

• As Director of Clinical Artificial Intelligence, you will lead program development and deploy artificial intelligence (AI) and machine learning (ML) to advance clinical diagnostics

• This key role will guide R&D efforts to improve disease detection using digital pathology and improve genomic variant curation/reporting efficiency

• You will possess a robust blend of technical expertise in AI/ML and an understanding of its clinical applications in oncology, reproductive medicine, and rare diseases

• Leadership and Strategic Direction

• Provide strategic leadership for the Clinical AI development team, crafting and executing a vision for AI-driven innovations in diagnostics

• Collaborate with cross-functional teams, including R&D, medical affairs, program management, and software development, to design and deploy AI models that enhance diagnostic and prognostic

• Clinical Large-Language Models

• Spearheaded the optimization and creation of biological models to generate insights into disease mechanisms, predict outcomes, and enhance variant curation and reporting

• Oversee using LLMs to efficiently extract critical information from electronic health records and scientific publications, enhancing the foundation for diagnostic decisions

• Treat data with a high level of integrity and ethics

• Genomic & Multi-Omics Data Analysis

• Direct projects that apply ML algorithms for examining tumor genetic data, aiming to identify critical mutations and biomarkers that inform personalized treatment approaches

• Guide the integration of various "omics" data sources (genomics, proteomics, metabolomics) using AI to achieve a holistic view of cancer biology, opening up new avenues for diagnostic markers and treatment targets

• Lead the development of AI algorithms to enhance digital pathology analysis, focusing on cancer cell detection, tumor grading, and heterogeneity analysis, to support accurate and detailed diagnostics

Full Description

About the Company

As Director of Clinical Artificial Intelligence, you will lead program development and deploy artificial intelligence (AI) and machine learning (ML) to advance clinical diagnostics.

This key role will guide R&D efforts to improve disease detection using digital pathology and improve genomic variant curation/reporting efficiency.

You will possess a robust blend of technical expertise in AI/ML and an understanding of its clinical applications in oncology, reproductive medicine, and rare diseases.

Candidates must be willing to work from one of our laboratory sites in the following cities: Los Angeles, CA - Phoenix, AZ - Dallas, TX - Atlanta, GA - Boston, MA.

Hybrid on-site work is required.

Key Job Elements

• Leadership and Strategic Direction

• * Provide strategic leadership for the Clinical AI development team, crafting and executing a vision for AI-driven innovations in diagnostics.

Collaborate with cross-functional teams, including R&D, medical affairs, program management, and software development, to design and deploy AI models that enhance diagnostic and prognostic.

• * Clinical Large-Language Models

• * Spearheaded the optimization and creation of biological models to generate insights into disease mechanisms, predict outcomes, and enhance variant curation and reporting.

Oversee using LLMs to efficiently extract critical information from electronic health records and scientific publications, enhancing the foundation for diagnostic decisions.

Treat data with a high level of integrity and ethics.

• * Genomic & Multi-Omics Data Analysis

• * Direct projects that apply ML algorithms for examining tumor genetic data, aiming to identify critical mutations and biomarkers that inform personalized treatment approaches. Guide the integration of various "omics" data sources (genomics, proteomics, metabolomics) using AI to achieve a holistic view of cancer biology, opening up new avenues for diagnostic markers and treatment targets.

• * Digital Pathology Image Analysis (Required Experience)

• * Lead the development of AI algorithms to enhance digital pathology analysis, focusing on cancer cell detection, tumor grading, and heterogeneity analysis, to support accurate and detailed diagnostics.

• Qualifications

Ph.D. degree from an accredited institution in Computer Science, Computational Biology, Bioinformatics, Machine Learning, Biostatistics, Computer Vision, or a related field with a focus on artificial intelligence, machine learning, and statistics. 7+ years of experience in AI/ML research and development, particularly in oncology or healthcare applications, with a proven track record of leading projects from inception to clinical implementation.

Extensive knowledge of oncology clinical practices, including diagnostics, genomics, and therapeutic strategies.

Proficiency in AI/ML programming languages and frameworks (e.g., Python, R, TensorFlow, PyTorch, LLMs).

Strong leadership skills, excellent communication abilities, and a knack for fostering collaboration across diverse scientific and clinical teams.

Understanding of digital pathology and basic pathology-related images (different stains as well as their purpose).

Must enjoy working in a multi-disciplinary and collaborative environment.

Ability to troubleshoot both individually and as part of a team.

Excellent oral and written skills with the ability to communicate in an open, transparent, timely, and consistent manner.

Equal Opportunity Statement

Include a statement on commitment to diversity and inclusivity.