Scispot is a fully configurable workflow automation platform for fast-growing life science companies. Our customers use Scispot to design and automate their workflows at all stages of their R&D, from planning, lab execution to reporting collaboratively.
Digital Biology is the next frontier of LLMs. Scispot is enabling that wave for biotech companies. Scispot provides a staging lakehouse (Labsheets), collaborative notebook (Labspace), and connection with lab instruments (GLUE) for wet lab scientists and researchers. Scispot customers get their data AI ready by connecting all disparate biological data in one Lab Information Management System.
This role is within the Core Engineering group, a cornerstone of Scispot.com's mission to digitize life science operations. Our team focuses on developing scalable, robust software solutions that enhance productivity and collaboration within the life sciences community. Working in a fully remote environment, our engineers collaborate closely with the designers, founders, sales & marketing, and customer success teams to ensure our platform meets the dynamic needs of our users. The team is currently engaged in enhancing the platform's core functionalities with Generative AI experiences. This role, in particular, will be key in developing high-performance, intuitive user interfaces that cater to all our stakeholders, from researchers to lab managers.
Responsibilities:
Scispot.io is revolutionizing the way life science operations are managed, offering a digital platform that automates and integrates essential workflows. By facilitating efficient project management, laboratory management, and data analysis through a user-friendly interface, Scispot.com supports life science companies in their growth and innovation efforts. As a leader in the digital transformation of the life sciences industry, Scispot.com is dedicated to empowering researchers and biotech companies to achieve their goals with greater speed and efficiency.
We use AWS as our primary hosting service. Our tech stack comprises a Next.js frontend web app. On the backend, we use a NoSQL database (AWS DynamoDB) which is fronted by a GraphQL database abstraction API layer. We also use AWS Lambda as the middleware for our platform.
To manage our user authentication, authorization and signups, we use AWS Cognito in combination with AWS IAM.
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