Scientific Data Architect - Basel, Switzerland

ppbAbout TetraScience /b /ppTetraScience 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. /ppIn 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. /ppbWho You Are /b /ppYou are a bproduct-minded, outcome-obsessed /b driver of technical scientific solutions. /ppYou a bhigh velocity self-starter. /b You refuse to let uncertainty obstruct your path to designing and building solutions. /ppYou broll up your sleeves, try things out, and get things done /b. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users. /ppYou thrive in environments where byou can collaborate with scientists, product managers, and engineers /b 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. /ppWith rich experience applying cutting edge data methodologies to the biopharma RD domain, you bridge understanding between present-day pain points and generalisable solutions. /ppYou are an binsatiable learner /b, with a track record of deeply learning new tools, methods, and domains. /ppYou 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. /ppThis role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry. /ph3What You Have Done /h3ullibPhD with +4 years or Masters with +8 years of industry experience in life sciences /b with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing. /liliProven track record of defining, designing, prototyping, and implementing productised AI/ML-driven use cases in cloud environments /liliCollaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. /liliPerformed extensive exploratory data analysis and workflow optimisation to enable scientific outcomes not previously possible. /liliEngaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities. /liliAdvised scientists in a consulting capacity to further research, development, and quality testing outcomes. /li /ulh3bWhat You Will Do /b /h3ullibYou will be a critical team member in a unique partnership to industrialise Scientific AI /b. As such, you willb engage directly with customers onsite a couple of days per week in the Frankfurt Region, /b building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions. /lilibDesign and implement extensible, reusable data models /b that efficiently capture and organise scientific data for scientific use cases, ensuring scalability and future adaptability. /liliTranslate scientific data workflows into robust solutions leveraging the Tetra Data Platform. /liliOwn, scope, prototype and implement solutions including: /liulliData model design (tabular JSON) /liliPython-based parser development. /liliLab software (e.g., ELN/LIMS) integration via APIs. /liliData visualisation and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly) /liliCollaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid) /liliProgrammatically interrogating proprietary instrument output files. /li /ulliDynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings /liliProactively communicate implementation progress and deliver demos to customer stakeholders. /liliCollaborate with the product team to build and prioritise our roadmap by understanding customers’ pain points within and outside Tetra Data Platform. /liliRapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases /liliBusiness proficiency of German required (C1 level) /li /ululliCompetitive Salary and equity in a fast-growing company. /liliSupportive, team-oriented culture of continuous improvement. /liliGenerous paid time off (PTO). /liliFlexible working arrangements - Remote work when not at Customer Sitesbr/ /li /ulpWe are not currently providing visa sponsorship for this position. /p /p #J-18808-Ljbffr