The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible.

Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.

As a Senior Computational Biologist, you'll work alongside members of our research team and our founders to develop AI systems capable of complex biological reasoning across multiple scales.

• You will develop machine learning methods to extend our predictive and generative platform
• You will design and execute computational pipelines to validate and prioritized de novo generated molecules using state of the art tools
• You will use your deep understanding of biology to design novel therapeutics for hard-to-target proteins with our generative models
• You will analyze and integrate large-scale biological datasets
• Your work will directly impact the development of our biologically-aware AI platform, transforming the landscape of medicine

Make a real tangible impact on millions of lives by pushing the boundaries of AI in biology.

Who We're Looking For

• You have a PhD in a biological field and strong programming skills in Python
• You have experience with computational biology tools such as structure prediction, molecular docking and virtual screening
• You have experience working with Protein or Chemical Language Models
• You like to work collaboratively in a fast-paced startup environment
• You are passionate about using data science to unlock the secrets of biology
• You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them

Bonus Points

• You have hands-on experience building AI/ML using PyTorch and Lightning
• You have experience with cloud computing platforms like AWS
• You have hands-on biology laboratory experience
• You have contributed to peer-reviewed publications in computational biology
• You have knowledge of machine learning techniques applied to biological data