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1910genetics

Software Engineer Intern

1910genetics, Boston, Massachusetts, us, 02298


Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets. You are someone we can count on to...

Roll up your sleeves as an Individual Contributor (IC) and support our internal processes that aid in the development of our external and internal drug pipelines. You will work with our Engineering team to implement new features, fix bugs, design new products, deploy DevOps infrastructure, and assist with other duties as assigned. You will own...

Code review, testing, development & deployment of CI/CD pipelines Implementing and integrating new tools & features across the current technology stack Effective collaboration with the ML Engineering, AI Research, Chemistry, Biology, and Business Operations teams to provide key features and improve efficiency You will learn...

The process of drug discovery and development and how Engineering supports this process. You will also learn to architect, design, and develop products and systems. Within 1 month you will...

Understand the systems currently in place at 1910, and how they play a role in the drug discovery process. Within 3 months you will...

Provide engineering and technical support to the team. You will implement new features, fix bugs, and write supporting tests for existing code bases. Ideally, you have...

Excellent problem-solving, communication, and time-management skills Experience using Unix/Linux environments, Git, React, and relational/non-relational database technologies (MongoDB, SQL, PostgreSQL). Exposure to cloud infrastructure Azure/AWS, TailwindCSS, data science, data management techniques, and some machine learning This is an exciting time to join a fast-growing startup on a mission to save human lives. If you enjoy working on important problems with a small team of passionate and fun individuals, come join us!

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