Computational Scientist — AI-Driven Drug Discovery

Tamarind Bio; San Francisco (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

Tamarind Bio is hiring a Computational Scientist in San Francisco. This role involves working with AI-powered drug discovery tools and integrating biological ML models into the company's platform. You will partner with customers to solve discovery challenges and enhance workflow reliability and performance. Ideal candidates will have a strong background in computational biology, programming experience in Python, and familiarity with cloud-based ML tools such as AWS, Docker, and TensorFlow.

Qualifications

• Strong background in computational biology, computational chemistry, or bioinformatics.
• Familiarity with ML and physics-based tools in structural biology.
• Experience with biological data like molecular structures and databases.
• Programming experience in Python and scientific computing workflows.
• Comfort with cloud infrastructure and ML tooling.

Responsibilities

• Integrate and deploy biological ML models on the Tamarind platform.
• Build workflows connecting structure prediction and docking models.
• Troubleshoot pipelines and assist customers with discovery workflows.
• Evaluate research tools for integration into the platform.

Skills

Computational biology

Bioinformatics

Machine learning

Python

AWS

Tools

PyTorch

TensorFlow

Docker

CUDA

Conda

Job description

Tamarind Bio is hiring a Computational Scientist in San Francisco. This role involves working with AI-powered drug discovery tools and integrating biological ML models into the company's platform. You will partner with customers to solve discovery challenges and enhance workflow reliability and performance. Ideal candidates will have a strong background in computational biology, programming experience in Python, and familiarity with cloud-based ML tools such as AWS, Docker, and TensorFlow.