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Output Biosciences

AI-driven preventative therapeutics for chronic disease

Head of Biology

Translational Research & Bench BiologyConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A PhD in computational biology, biophysics, structural biology, molecular biology, or a related biological field, with 3+ years of post-doctoral or industry research experience.
  • Deep understanding of protein biology, protein-ligand interactions, and how sequence and structure relate to biological function.
  • Experience designing biological experiments and working with contract research organizations for synthesis and experimental validation.
  • Experience working with protein language models or machine learning applied to biological sequences and structures.
  • Strong programming skills in Python, with experience building computational pipelines and analysis tools.
  • Ability to translate between biology and machine learning, including understanding model data requirements and interpreting experimental results for model development.
  • Ability to develop expertise in unfamiliar biological problem areas and guide modeling and experimental decisions.

Responsibilities

  • Own the active learning cycle between the models and experimental validation by designing experiments, managing contract research organization partners for synthesis and testing, interpreting results, and feeding results back to improve the models.
  • Develop expertise in specific biological problem areas and translate biological requirements into priorities for data construction, modeling, and evaluation.
  • Manage contract research organization relationships for peptide and molecular synthesis, biological assays, and experimental testing, designing campaigns to generate informative data.
  • Collaborate with engineering to design and build biology-specific agent skills and workflows that encode biological expertise into tools for automating experimental decision-making.
  • Work with model and data teams to identify biological phenomena the models should detect and ensure experimental findings shape model learning.
  • Stay current with biological literature and experimental methods, identify new biological problems, and translate them into opportunities for model development.

Desired Qualifications

  • Structural biology expertise, including protein structure analysis and structure-function relationships.
  • Experience with active learning or iterative experimental design in computational biology or drug discovery.
  • Hands-on wet lab experience.
  • Experience across multiple therapeutic modalities, including peptides.
  • Experience building tools or writing code that automates biological analysis workflows.

About the Company

Output Biosciences

AI-driven preventative therapeutics for chronic disease

Output Biosciences develops preventative therapeutics to extend human healthspan by combatting chronic diseases. It uses computational biology and AI to discover therapies that can prevent diseases faster, with safer profiles and easier manufacturing, enabling quicker development timelines. The company differentiates itself by integrating biotech expertise with AI to create therapies focused on prevention, and by forming partnerships with pharmaceutical companies, licensing its technologies, and pursuing direct therapy sales. Its goal is to bring preventive treatments to market within months, shifting drug development toward stopping chronic diseases before they start.

Company size
1-10
Company stage
Seed
Total funding
$130K
Headquarters
New York City, New York
Founded
2020

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