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Senior Computational Biologist (Remote)

Output Biosciences

Salary not specified
Sep 4, 2025
New York, NY, US
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Build the world's first biological reasoning model to decode biological systems across scales, enabling prediction, understanding, and programming of living systems, and transforming the landscape of medicine.

Requirements

  • 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
  • hands-on experience building AI/ML using PyTorch and Lightning
  • experience with cloud computing platforms like AWS
  • knowledge of machine learning techniques applied to biological data

Responsibilities

  • 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

Other

  • You have a PhD in a biological field
  • 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
  • You will be expected to travel periodically for in-person team meetings at our NYC HQ
  • You have hands-on biology laboratory experience
  • You have contributed to peer-reviewed publications in computational biology