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. TetraScience is looking for a Technical Enablement Lead / Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate adoption and growth. Your expertise not only covers the technical aspects of data integration, storage, access and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions. Your work will directly impact how developers adopt TetraScience’s Scientific Data & AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You’ll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams to empower customers, technical field team members, and all customer-facing technical roles through exceptional enablement programs. You’ll set the strategy for EU developer experience and community, including partners, customers, and independent developers; This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development. Your work will educate and inspire the biopharmaceutical industry as to the power of an open ecosystem where precisely engineered scientific data flows freely and without restrictions. Scientific & Domain Expertise Deep understanding of pharmaceutical/life sciences R&D workflows, data, and scientific principles Ability to engage credibly with data scientists, lab scientists, and R&D IT stakeholders Able to code and build practical solutions using scientific data platforms, pipelines, and apps Translate complex technical problems into working implementations within a pharma context Training & Enablement Design and deliver in-person training sessions, workshops, and demonstrations for both technical and non-technical audiences Translate technical and scientific concepts into clear, accessible language for non-technical stakeholders Collaborate with Product, Engineering, and UX teams to surface customer feedback as actionable requirements 2+ years professional experience in a Life Sciences company and/or a scientific background ~3+ years professional experience as data scientist, scientific data engineer, or solutions architect ~2+ years professional experience in technical enablement and/or developer relations ~ Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies ~ Ability to travel regularly to customer locations and whiteboard the product strategy with them ~ Experience with data governance, privacy, and compliance considerations ~ Experience at high-growth SaaS companies with complex data needs Previous experience within a biopharma company in an IT related function is a big plus Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience Familiarity with enterprise sales processs within the pharmaceutical sector Experience with AWS application stack Competitive Salary and equity in a fast-growing company. Generous paid time off (PTO). Flexible working arrangements - Remote work.
ICT Developer - Technical Lead employer: TetraScience
TetraScience is an exceptional employer that fosters a supportive and team-oriented culture, perfect for those passionate about scientific data and AI technologies. With generous paid time off, flexible remote working arrangements, and a commitment to continuous improvement, employees are empowered to grow and thrive in their careers while making a meaningful impact in the life sciences sector. Join us to be part of a dynamic team that values innovation and collaboration, driving advancements in scientific intelligence.
