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Inductive Bio is an AI-driven drug discovery company using machine learning to predict molecular behavior and accelerate the development of new therapeutics. The company's ADMET/PK models have won the world's largest AI drug discovery competition three consecutive times and are already deployed across dozens of biopharma partnerships. Backed by leading investors including a16z and Lux Capital, the team combines world-class expertise in machine learning and drug discovery science.
In this role, you will be a core member of the ML team with significant ownership and impact. Your responsibilities include:
- Developing machine learning models to predict molecular properties from chemical structures
- Creating novel algorithms for generating ideas for new molecules
- Building AI agents that synthesize complex information from drug programs and apply it strategically toward molecular optimization
- Analyzing and iterating on the company's unique, proprietary dataset to improve model performance
- Collaborating closely with chemists and software engineers to integrate models into the platform used by drug discovery scientists
- Building and optimizing scalable infrastructure for model training, deployment, and monitoring
- Engaging directly with scientific users to incorporate feedback into product development
- Contributing meaningfully to product strategy and company direction
You will work across multiple locations (New York City, San Francisco, or Boston) with a talented, ambitious team focused on solving one of the most impactful problems in biotech.
REQUIREMENTS:
- 4+ years of experience as a Machine Learning Scientist, Machine Learning Engineer, Data Scientist, or similar role
- Strong scientific background, ideally with a PhD in chemistry, biology, physics, or related field
- Expertise in machine learning fundamentals, deep learning architectures, and evaluation approaches
- Proficiency in Python-based ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Ability to write high-quality, reusable code and productionize models for cloud deployment
- Genuine interest in diving deep into drug discovery science
- Exceptional written and oral communication skills
PREFERRED:
- Graduate-level knowledge of cell/molecular biology or biochemistry with experience collaborating with wet lab scientists
- Experience with omics modeling (transcriptomics, proteomics, metabolomics)
- Experience with high-content screening and signal processing from microscopy data
