Senior Scientific Data Architect

at  Entrust Resource Solutions

Entrust Resource Solutions is working with a fantastic Scientific Data and AI Cloud company who’s mission is to radically improve and extend human life. You will be based in either UK and Europe and the role is fully remote.

REQUIREMENTS

• Excellent experience in leveraging Python for scripting, automation, data analysis, data engineering, and/or data science
• You will have worked in life sciences, whether at the bench in Biopharma, bioinformatics, or in the vendor space
• Must have the 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

• Translate scientific data workflows into a solution leveraging their bespoke Data Platform
• Own, scope, prototype, and implement solutions ranging from:
• Programmatically interrogate proprietary instrument output file
• Data structure design using JSON schemasPython-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