
Job Description
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
- You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty
- You have excellent communication skills and can clearly articulate complex technical concepts
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
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Job Details
- Location
- New York, NY, US
- Posted
- Mar 24, 2026, 04:29 PM
- Listed
- Mar 24, 2026, 04:29 PM
- Compensation
- $150,000 - $250,000 per year
About Output Biosciences
Part of the growing space & AI ecosystem pushing the frontiers of technology.
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