Senior Scientific Data Architect

3 weeks ago


City, United Kingdom Entrust Resource Solutions Full time
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.

Do you:
Thrive on working well with others. You make the people around you better.
Relentlessly strive to excel in your craft. You are passionate about building, observing and operating distributed systems at scale in production.
Consistently seek understanding and clarity. You look at every interaction as an opportunity to learn. You aren t afraid to ask questions.

What will you Do:
  • 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
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
Nice to have:
Hands on experience working leveraging cloud technologies (AWS, Azure, GCP) for solution design and architecture
Benefits
  • Competitive Salary and equity in a fast-growing company.
  • Supportive, team-oriented culture of continuous improvement.
  • Generous paid time off (PTO).
  • Flexible working arrangements - Remote work.
Interested?
Reach out to Ryan Watson on (phone number removed) or email (url removed) or find me on LinkedIn and message me there.


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