Life Sciences Data Architect
Remote - United States
Applications have closed
TetraScience
The Tetra Scientific Data and AI Cloud is the only vendor-neutral, open, cloud-native platform purpose-built for science. Get next-generation lab data automation, scientific data management, and foundational building blocks of Scientific AI....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
- 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
Requirements
- >3 years leveraging Python for scripting, automation, data analysis, data engineering, and/or data science
- Ability to quickly understand a highly technical product and effectively communicate with product management and engineering
- Passionate about science and building solutions to make data more accessible to end-users
- Intellectually curious: unwavering drive to learn more every day
- Intellectually resilient: able to overcome setbacks and find alternate solutions
- Excellent communications skills, attention to detail, and the confidence to take control of project delivery
- Team player and ability to "roll up your sleeves" and do what it takes to make the team successful
Benefits
- Competitive Salary and equity in a fast growing company
- Supportive, team oriented culture of continuous improvement.
- 100% employer paid benefits for all eligible employees.
- 401K
- Generous paid time off (PTO)
- Flexible working arrangements - Remote work + Boston office as needed
Tags: APIs Data analysis Data visualization Distributed Systems Engineering Excel JSON Jupyter Power BI Python R R&D Spotfire Tableau
Perks/benefits: Competitive pay Equity Flex hours Flex vacation Startup environment
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