Senior Computational Biologist (NYC)

Output Biosciences • New York, NY

115d

About The Position

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 prioritize 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.

Requirements

• PhD in a biological field.
• Strong programming skills in Python.
• Experience with computational biology tools such as structure prediction, molecular docking, and virtual screening.
• Experience working with Protein or Chemical Language Models.
• Ability to work collaboratively in a fast-paced startup environment.
• Passion for using data science to unlock the secrets of biology.
• Proactive approach to problem-solving.
• Excellent communication skills to articulate complex technical concepts.

Nice To Haves

• Hands-on experience building AI/ML using PyTorch and Lightning.
• Experience with cloud computing platforms like AWS.
• Hands-on biology laboratory experience.
• Contributed to peer-reviewed publications in computational biology.
• Knowledge of machine learning techniques applied to biological data.

Responsibilities

• Develop AI systems capable of complex biological reasoning across multiple scales.
• Develop machine learning methods to extend the predictive and generative platform.
• Design and execute computational pipelines to validate and prioritize de novo generated molecules.
• Use deep understanding of biology to design novel therapeutics for hard-to-target proteins.
• Analyze and integrate large-scale biological datasets.

What This Job Offers

• Career Level: Senior
• Education Level: Ph.D. or professional degree