Full-stack Software Developer at Talo Labs
At Talo Labs, we are focused on fundamentally changing the paradigm of modern drug discovery. We bring together technologies including deep learning, Web3 and high-performance computing to change the process and speed at which important drugs are developed for the world. Our team includes bioinformaticians, biologists, chemists, machine learning and software engineers.
As a software developer at Talo Labs, you will be working in a diverse team to turn artificial intelligences, bioinformatics algorithms, and other computational science into production-ready software. You will get the opportunity to learn about the cutting-edge of artificial intelligence, bioinformatics, computational biology, drug discovery, and the broader biotechnology industry. You will also get the opportunity to work with large real-world datasets. You will be building new projects, built from the ground up, and using the technologies and practices of your choice. Your work will have a direct impact on improving the capabilities of drug discovery and development, delivering meaningful impact for people all over the world.
Responsibilities
- Be part of a team that plans, designs, and builds full-stack systems that expose artificial intelligences and bioinformatics algorithms that you have developed in collaboration with other teams.
- Be part of a team that plans, designs, and builds databases that capture large amounts of data points, relationships between them, and allows for easy graph-based querying and searching.
- Employ best practices for automated continuous testing, integration, and deployment pipelines.
- Employ best practices for orchestrating large clusters of machines in the cloud.
Requirements
- Hand working, self-motivated, with a passion for learning and growing.
- Strong understanding of API design, including best security practices, concurrency, and horizontal scalability.
- Experience implementing complex algorithms, and production-ready APIs over HTTP.
- Experience working with graph, document-oriented, and/or relational databases
- Experience working with Google Cloud and/or AWS, managing virtual machine instances, deploying databases, and deploying Docker containers.
- Programming tools: Git, and GitHub.
- Programming concepts: REST, GraphQL, gRPC and/or other protocols.
- Programming languages: Rust, Erlang, Julia, Go, JavaScript, and/or Python. Other programming languages are also acceptable.
- Excellent English communication skills, both written and spoken.