TetraScience provides the world’s first and only R&D Data Cloud, with a mission to transform life sciences R&D, accelerate discovery, and improve human life. Scientists at global pharma and biotech organizations rely on our innovative Tetra Data Platform for easy access to centralized, harmonized, and actionable scientific data to accelerate their digital lab transformation. With best-in-class SaaS performance, a team of industry innovators, and excellent product/market fit, Tetra is positioned to become an iconic life sciences software company.
Who We Are
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
Own, prototype, and implement customer solutions
Research and prototype data acquisition strategy for scientific lab instrumentation
Research and prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries)
Design and build data models
Design and build Python data pipelines, unit tests, integration tests, and utility functions
Build visualization, report, and dashboards using Spotfire, Tableau, Jupyter notebook and etc.
Work with the customer to test and make sure the solution fulfills their requirements and solves their need
Coordinate project kickoff meetings; manage the customer relationship throughout the project, and conduct formal project closeout meetings
Facilitate internal project post-mortems to identify areas of improvement on the next implementation
>5 years in Python and SQL
Passionate about science and building solutions to make the data more accessible to the end-users
Elasticsearch, science background, or experience with scientific instruments
Experience with tools like Spotfire, Tableau, Jupyter notebook (any of them)
Undergraduate or graduate degree in chemistry, biology, computer science, statistics, public health, etc.
Excellent communications skills, attention to details, and the confidence to take control of project delivery
Quickly understand a highly technical product and effectively communicate with product management and engineering
Strong project, account management, and proactive problem-solving skills
High-bandwidth: thrives when managing multiple simultaneous projects
Intellectually curious: Unwavering drive to learn and know more every day
Ability to think creatively on how to solve projects risks without reducing quality
Team player and ability to roll up your sleeves and do what it takes to make the team successfu