About the role
We’re a well-funded start-up . You’ll get a chance to wear many hats, be a part of a growing team, and have the potential for exciting financial and career growth. Here’s what sets us apart. We’ve set our sights on some of the biggest challenges facing biology today. We’re amassing a world class team of engineers, scientists, team builders and problem solvers to tackle these challenges heads-on. We’re passionate about developing the next generation technologies that will unravel the complexities of biology. This is a unique opportunity to build, be part of an exciting start-up and be surrounded by good humans who are super capable, humble and down-to- earth. 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. Essential Duties include but are not limited to the following: 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. Minimum