Data Architect Energiewirtschaft : Gestalte Skalierbare Systeme

Join to apply for the Scientific Data Architect role at TetraScience

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next‑gen lab data management solutions, scientific use cases, and AI-enabled outcomes.

TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co‑innovation and go-to-market partnerships.

In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co‑founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.

This document is impossible to overstate the importance of and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.

Who You Are

You are a product‑minded, outcome‑obsessed driver of technical scientific solutions.

You are 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 generalisable 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 maximise 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.

What You Have Done

• 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 optimisation), preclinical development, CMC (all drug modalities), or product quality testing.
• Proven track record of defining, designing, prototyping, and implementing productised AI / ML‑driven use cases in cloud environments.
• Collaborated with cross‑functional teams, including product managers, software engineers, and scientific stakeholders.
• Performed extensive exploratory data analysis and workflow optimisation 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.

What You Will Do

We are not currently providing visa sponsorship for this position.

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