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Software Engineer

Genesis is building a world-class software team in an industry that has underutilized computational methods for far too long. We are creating the best molecular generation and property prediction platform in the world, filling in a critical piece in the drug discovery process. We need you to drive the cutting-edge research that will enable us to find cures for a wider range of diseases, faster than ever before.

You will:

  • Update our data infrastructure, built on GCP cloud storage and Postgres, optimizing for data integrity, performance, and flexibility manipulating billions of molecular datapoints
  • Improve our data pipelines on top of Kubernetes, making them more efficient and fault-tolerant while handling thousands of parallel deep learning and biophysical simulation jobs
  • Dive deep into molecular datasets, creating statistically rigorous train, valid, and test sets to optimally train our models for real-world prediction and generation tasks
  • Help create our biophysical simulation platform, using off-the-shelf computational chemistry libraries as well as developing tools from scratch based on the laws of physics and chemistry
  • Work closely with AI engineers and medicinal chemists to make our AI platform maximally adaptive to different use cases

You are:

  • Experienced writing production code and driving projects to completion, preferably at either a top industry company or a fast-moving startup
  • A deep thinker who reasons from first principles over pattern matching
  • An autodidact interested in deep learning, biochemistry, and the drug development process
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