Job Summary

• You will work efficiently in a team to work on fundamental AI research problems, customise solutions to various applications and deliver projects optimally, researching, developing and using the novel AI theories, methodologies, and algorithms, with engineering best practices and standard processes for various biology, chemistry and clinical applications.
• You will contribute to addressing challenges and opportunities in the drug discovery and development value chain processes and provide innovative solutions in fields such as deep learning, representation learning, reinforcement learning, meta-learning, active learning approaches applied to de novo molecule design, protein engineering, in-silico discovery, structural biology, genetic engineering, synthetic biology, computational biology, translational sciences, biomarker discovery, clinical research, clinical trials and many other areas.
• Join us in our unique and ambitious world. Join the team, unlocking the power of what science can do.

Matching Summary

Salary

Base: 114,333.60 to 150,062.85; Bonus/Equity: Annual Variable Pay Bonus/Short Term Incentive opportunity as well as eligibility to participate in equity-based long-term incentive program; Benefits: Competitive Flex Benefits & Retirement Savings Program, 4 weeks’ paid vacation, and annual Personal Days for permanent roles

Skills & Requirements

Key Requirements

• PhD in ML, statistics, CS, math, physics or related
• Fundamental AI research experience
• Hands-on ability to implement AI/ML techniques
• Theoretical understanding of algebra, algorithms, probability, calculus, statistics
• Python or other programming languages and ML toolkits experience

Work Rights