Scientific Data Architect - Germany Expression of interest
Role Summary
TetraScience is building a talent pipeline for upcoming roles as a Scientific Data Architect in Düsseldorf, Germany. Connect with them early to showcase your expertise.
About the Organisation
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.
Key Responsibilities
- 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)
- Python-based parser development.
- Lab software (e.g., ELN/LIMS) 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
- Business proficiency of German required (C1 level)
- Work on client site on average 3 days per week
Minimum Requirements
You are a product-minded, outcome-obsessed driver of technical scientific solutions.
You a high velocity self-starter. You refuse to let uncertainty obstruct your path to designing and building solutions.
You roll up your sleeves, try things out, and get things done. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users.
You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data.
With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions.
You are an insatiable learner, with a track record of deeply learning new tools, methods, and domains.
You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML.
This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.
Working Conditions
We are not currently providing visa sponsorship for this position.
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- 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 when not at Customer Sites
Eligibility Criteria
This opportunity is for an expression of interest with no active vacancy, leaving eligibility and sponsorship details unclear.
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