Scientific Data Architect Frankfurt, Germany

• PhD with 7+ years Masters with 10+ years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing.
• Proven track record of defining, designing, prototyping, and implementing productized AIMLdriven use cases in cloud environments
• Collaborated with crossfunctional teams, including product managers, software engineers, and scientific stakeholders.
• Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.
• Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities.
• Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.

• Requirements

  What You Will Do

  • You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite a couple of days per week in the Frankfurt Region, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions.
  • Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability.
  • Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.
  • Own, scope, prototype, and implement solutions including:
  • • Data model design (tabular & JSON)
    • Pythonbased parser development.
    • Lab software (e.g., ELNLIMS) integration via APIs.
    • Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly)
    • Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid)
    • Programmatically interrogating proprietary instrument output files.
    • • Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings
      • Proactively communicate implementation progress and deliver demos to customer stakeholders.
      • Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform.
      • Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases

      • Benefits

        • Competitive Salary and equity in a fastgrowing company.
        • Supportive, teamoriented culture of continuous improvement.
        • Generous paid time off (PTO).
        • Flexible working arrangements Remote work when not at Customer Sites
          

        • We are not currently providing visa sponsorship for this position.