WHAT’S OUR VISION?
BenevolentAI harnesses artificial intelligence to accelerate scientific discovery by making sense of highly fragmented information to develop new medicines for hard to treat diseases, using AI as a force for good.
Our software engineers work in multi-functional squads working alongside the best scientists, machine learning gurus, world-renowned biologists, and extraordinary scientists to make the world a better place.
Our goal is to bring together world-class Scientists and Machine Learning Researchers to accelerate the discovery of therapeutic treatments for human diseases. This is an ideal role if you are passionate about any of the following domains: the Biomedical/ Medicinal Chemistry and machine learning, and if you would be excited by the opportunity to grow your skills in these areas.
We offer a great opportunity to explore and experiment with the state of the art tech stack and product to bring it to another level. You will also have the freedom to learn more within the role through regular in-house presentations and other training and develop your career in a highly challenging, but rewarding role.
To learn more about our Squads and what you'll be working on follow this link or scroll down.
WHAT’S YOUR MISSION?
- Develop the platform to provide a scalable infrastructure and own the intelligent search technology to facilitate ground-breaking discoveries. Some example projects are:
- Developing our drug discovery platform.
- Extending and managing the world’s largest biomedical knowledge graph.
- Productizing and serving AI models built for drug discovery.
- Getting involved in microservice-style web services, database servers, graph data structures, all of which are deployed onto our Kubernetes cluster.
- Ensure Agile best practice are followed and the software is resilient enough for our scientists to rely upon.
- Pioneer the creation of leading database servers, graph data structures, distributed computing and data repositories (mixture of local development servers and cloud).
- Advocate high-quality engineering and best-practice in production software, automation as well as rapid prototypes as a part of Agile multi-functional squads.
- Iterate rapidly based on user feedback and experiment with different ideas, without losing sight of engineering quality.
- Be pragmatic and flexible - adapting your approach to work on hackathons, MVPs and long lived products.
- Be willing to share and champion your opinion on technical direction, and contribute to the mix of ideas.
WHAT DO YOU NEED TO SUCCEED?
- You have completed a degree in Computer science (BSc/MSc/PhD) or related academic discipline.
- Computer Science or related academic background.
- Experience in commercial environment as a software engineer or relevant roles.
- Proven track records for building complex applications, dealing with complex data, and delivering user experiences with attention to code quality and testing.
- Extra credits to published front-end or visualization work, experience with DevOps, and experience in fields related to drug discovery.
- You must be a strong communicator who can explain what is required to build and deliver great software products, as well as a great team player willing to listen to other colleagues concerns and freely raise your own.
- Experience in a range of technologies. The willingness to be flexible and humble matters more to us than evangelism over set technologies, however a robust knowledge of some of these is needed:
- Backend: Python + flask, Java 8 + Spring, Microservices architecture, SQL/NoSQL/Graph Databases, REST APIs, GraphQL
- Infrastructure and DevOps: Docker, GitLab, Kubernetes, CI
by via developer jobs - Stack Overflow
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