Senior Director, Artificial Intelligence

Cellanome•Foster City, CA

5d•$288,000 - $330,000

About The Position

The Senior Director, Artificial Intelligence will lead our Artificial Intelligence (AI) and Machine Learning (ML) efforts. AI and ML are integral to multiple aspects of the operation of our platform and represent a key strategic area for Cellanome. This position will grow our existing efforts in these areas and identify future opportunities to leverage AI and ML to further our goals. This is a leadership position with the Computational Biology team and will collaborate closely with R&D, Software Engineering and Product Development through both Research and Product Development programs. This role will provide leadership and vision, while working hands-on in the implementation.

Requirements

PhD in Engineering, computer science, computational biology or related fields with 15 years experience; or a Master’s degree with 18 years experience; or a Bachelor’s degree with 20 years experience; or equivalent experience.
A minimum of 10 years of leadership experience, including hiring and mentoring junior team members.
Comprehensive knowledge of Deep Learning-based methodologies for image analysis is a must. The successful candidate will have extensive familiarity with object detection, instance segmentation and feature extraction models and will have demonstrated experience training and tweaking them.
Excellent programming skills and intimate familiarity with commonly used Deep Learning frameworks such as PyTorch, TensorFlow etc.
Excellent problem-solving abilities, critical thinking, and communication skills.
Demonstrated ability to perform the Essential Duties of the position with or without reasonable accommodations.

Nice To Haves

PhD strongly preferred.
Experience working with biological imaging data (e.g. live cell microscopy, histopathology).
Experience working with foundation models for single-cell transcriptomics.

Responsibilities

Design, develop, train and productize cutting-edge Deep Learning models, particularly in the area of image processing for tasks such as image segmentation, classification, unsupervised and semi-supervised feature extraction.
Research and develop models for integrating paired imaging and transcriptomic data from the same cells.
Design and develop infrastructure for tracking model learning and performance.
Develop and implement a multi-year strategy for application of ML and AI-based methodologies to core aspects of the operation of our technology, and interpretation of the resulting data.
Identify new opportunities to deploy ML and AI-based methodologies based on conversations with internal and external stakeholders.
Source, hire and mentor junior team members, fostering an environment of healthy teamwork and continuous learning.
Work collaboratively with other software teams to integrate ML and AI-based methodologies into our broader software ecosystem.
Keep up with the rapidly changing AI and ML landscape to identify new opportunities.
Ability to work in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
Ability to travel up to 5% of working time away from work location, may include overnight/weekend travel at times.