TetraScience
TetraScience Job Post
TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships. In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. You thrive on working well with others. You make the people around you better. You love to collaborate with fellow team members, customers, field engineers, executives, and inspire them to do their best. You relentlessly strive to excel in your craft. You are passionate about building, observing and operating distributed systems at scale in production. You understand the challenges and trade-offs to be made when building and deploying new systems to production and are willing to challenge the boundaries of the scale. You consistently seek understanding and clarity. You look at every interaction as an opportunity to learn. You aren't afraid to ask questions. You have the humility and confidence to not be the smartest person in the room. What You Will Do Translate scientific data workflows into a solution leveraging the Tetra Data Platform Own, scope, prototype, and implement solutions ranging from: Programmatically interrogate proprietary instrument output file Data structure design using JSON schemas Python-based parser development Lab software (e.g. ELN/LIMS) integration via APIs Data visualization in Python (using frameworks like Jupyter Notebooks or Streamlit and plotting tools like hvplot or bokeh) and/or BI tools (like Tableau, Spotfire, PowerBI) Interview customers to understand key scientific and business requirements Work with customers to test and ensure a solution fulfills their requirements and solves their need Real-time problem solving by quickly internalizing customer needs or feedback, synthesizing the results, and proposing solutions Proactively communicate implementation progress and deliver demos to customer stakeholders Lead sprint-planning and prioritization for your use case or account Facilitate internal project retrospective meetings and identify areas of improvement or productizable components Assist product team to build and prioritize roadmap by understanding customers' pain points within and outside Tetra Data Platform
TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships. In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. You thrive on working well with others. You make the people around you better. You love to collaborate with fellow team members, customers, field engineers, executives, and inspire them to do their best. You relentlessly strive to excel in your craft. You are passionate about building, observing and operating distributed systems at scale in production. You understand the challenges and trade-offs to be made when building and deploying new systems to production and are willing to challenge the boundaries of the scale. You consistently seek understanding and clarity. You look at every interaction as an opportunity to learn. You aren't afraid to ask questions. You have the humility and confidence to not be the smartest person in the room. What You Will Do Translate scientific data workflows into a solution leveraging the Tetra Data Platform Own, scope, prototype, and implement solutions ranging from: Programmatically interrogate proprietary instrument output file Data structure design using JSON schemas Python-based parser development Lab software (e.g. ELN/LIMS) integration via APIs Data visualization in Python (using frameworks like Jupyter Notebooks or Streamlit and plotting tools like hvplot or bokeh) and/or BI tools (like Tableau, Spotfire, PowerBI) Interview customers to understand key scientific and business requirements Work with customers to test and ensure a solution fulfills their requirements and solves their need Real-time problem solving by quickly internalizing customer needs or feedback, synthesizing the results, and proposing solutions Proactively communicate implementation progress and deliver demos to customer stakeholders Lead sprint-planning and prioritization for your use case or account Facilitate internal project retrospective meetings and identify areas of improvement or productizable components Assist product team to build and prioritize roadmap by understanding customers' pain points within and outside Tetra Data Platform