Scientific Data Architect/Senior Scientific Data Architect

Summary

Join TetraScience, a leader in Scientific Data and AI Cloud, and contribute to the Scientific AI revolution. Translate scientific data workflows into solutions using the Tetra Data Platform. You will own, scope, prototype, and implement solutions, including data structure design, Python-based parser development, and lab software integration. Collaborate with customers to understand their needs, test solutions, and provide real-time problem-solving. Proactively communicate progress, lead sprint planning, and facilitate project retrospectives. Assist the product team in roadmap prioritization. This role requires extensive Python experience, life sciences background, and excellent communication skills. The position offers 100% employer-paid benefits, unlimited PTO, 401K, remote work, and company-paid life insurance.

Requirements

• >5 years leveraging Python for scripting, automation, data analysis, data engineering, and/or data science
• >3 years in life sciences, whether at the bench in Biopharma, bioinformatics, or in the vendor space
• 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
• Travel to customer sites within EMEA (up to 20%)

Responsibilities

• 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

Preferred Qualifications

Hand on experience working leveraging cloud technologies (AWS, Azure, GCP) for solution design and architecture

Benefits

• 100% employer-paid benefits for all eligible employees and immediate family members
• Unlimited paid time off (PTO)
• 401K
• Remote role - work where you want to work
• Company paid Life Insurance, LTD/STD