Program Manager, Computational Sciences

Who You Are 

• Proven track record in leading large technical projects and building collaborations between teams, potentially with different expertise
• Excitement about the Altos mission of investigating cellular rejuvenation programming to restore cell health and resilience, with the goal of reversing disease to transform medicine.
• Proven ability and interest to lead interdisciplinary projects to success
• Deep analytical thinker and problem solver
• Team player - enjoys working on larger efforts with others and puts the success of their team above their own
• Growth mindset - desire to constantly expand your skillset and knowledge and that working with others is an opportunity for growth. Keen to learn more about biology, computational science, and medicine.
• Excellent communicator, both 1:1 and as a presenter to multi-faceted audiences. Ability to communicate technical concepts to people less familiar with the field.
• Bonus: Experience in a cell health and rejuvenation related research area
• Bonus: Experience in the application of machine learning methods to biological data
• Bonus: Experience in computational approaches to drug discovery
• Bonus: Experience with software development and open source software
• Bonus: Expertise in a large subset of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
• Bonus: Expertise in computational infrastructure for deep learning including GPUs, TPUs, cloud based machine learning
• Bonus: A strong network in machine learning, artificial intelligence and computational biology
• Bonus: Proven track record of high-calibre scientific work, e.g., demonstrated through publications in peer-reviewed scientific journals.

Responsibilities

• Coordinate and potentially lead large research and development projects at the interface of machine learning and biology
• Act as a bridge between the CS, AI & ML teams as well as those and the rest of Altos, in particular the Institutes of Science
• Help build the CS, AI & ML teams
• Help develop the vision for the CS, AI & ML team

Skills and Qualifications

• Experience in program and or project management in the context of cutting-edge technology or science.
• MSc or Ph.D. in machine learning, statistics, computational biology or related fields with at least 3-5 years of project management in the life sciences
• Demonstrated successful project management experience and training in a relevant industry or academic setting

Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).