Associate Computational Scientist (NYC)

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 Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator.

• You will analyze and integrate large-scale biological datasets using cutting-edge computational techniques
• You will develop and optimize data processing pipelines to support our AI modeling
• You will collaborate with our multidisciplinary team to integrate bioinformatics approaches into our AI platform
• You will contribute to the improvement of our biological data management systems
• 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 degree in computer science, computational biology or a biological field and strong programming skills in Python
• You are eager to learn and can 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
• You will be expected to travel periodically for in-person team meetings at our NYC HQ

Bonus Points

• 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