TetraScience

Scientific Solutions Partner - Copenhagen, Denmark Hybrid Solutions Architect Full time Copenhagen, Capital Region of Denmark, Denmark What You’ll Do Scientific & Technical Engagement ● Lead technical discovery: understand the customer’s current lab data landscape — instruments, data formats, informatics stack, and data science ambitions ● Design and present compelling solution architectures aligned to the customer’s specific scientific use cases (e.g., ADMET assays, FPLC/UPLC chromatography, bioassay data harmonization, AI training datasets) as well as understanding their core data management pain points and goals. ● Always be leading with demo’s of actual software aligned to the customers main value levers. ● Own and drive proof-of-concept and proof-of-value engagements, partnering with TetraScience scientific data architects to deliver credible, high-quality demonstrations of the Tetra Scientific Data Foundry’s capabilities ● Own RFP technical responses end-to-end, synthesizing platform capabilities, scientific use cases, and customer-specific requirements into compelling, accurate submissions ● Articulate the medallion data architecture in scientific and business terms: how bronze (raw scientific data), silver (harmonized Tetra Data), and gold (analysis-ready datasets) each create value, and how TetraScience’s AI-native layer accelerates scientific outcomes ● Stay current on the scientific and informatics landscape — relevant assay workflows, instrument vendors, SDMS/ELN/LIMS/analytical software integrations, and AI/ML use cases in drug discovery and development   Commercial Ownership ● Prospect, qualify, and build territory pipeline in alignment with the TetraScience go-to-market strategy ● Relentlessly identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts ● Manage the full sales cycle from discovery through contracting, using modern sales methodologies (MEDDIC, MEDDPIC, Force Management, or similar) ● Maintain a rigorous, accurate pipeline with consistent forecasting and visibility to leadership ● Build and expand relationships across the customer organization, from individual contributors to executive sponsors ● Identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts ● Partner with the Delivery Manager to ensure smooth handoff from sales to delivery, maintaining continuity of scientific context   Market & Thought Leadership ● Represent TetraScience at industry conferences, seminars, and customer events as a scientifically credible voice ● Contribute customer and market insights back to product, marketing, and science teams to inform roadmap and messaging ● Help develop compelling content — case studies, solution briefs, demo narratives — that advances the category Requirements   What You Bring ● Advanced degree in a life science, chemistry, or engineering discipline preferred MS or PhD); equivalent practical experience considered ● 7+ years of combined scientific, technical, and commercial experience in life sciences software, laboratory informatics, scientific data infrastructure, or adjacent domains ● Direct experience in pharma, biotech, or CRO/CDMO environments — either as a scientist, scientific software professional, or sales/solutions professional serving these customers ● Demonstrated ability to lead technical sales cycles in enterprise SaaS or scientific software, including POC design and execution and RFP ownership ● Deep familiarity with laboratory workflows and data: you understand what it means when a customer has 50 instruments generating unstructured data that no one can analyze ● Fluency with scientific data concepts: file formats, instrument connectivity, data harmonization, and the path from raw data to AI-ready datasets ● Experience with modern sales methodologies (MEDDIC, MEDDPIC, Force Management, or similar) ● Strong executive presence — equally compelling in a whiteboard architecture session and a C-suite business case conversation ● Proficiency with CRM and digital sales tools (Salesforce, LinkedIn Sales Navigator, ZoomInfo, SalesLoft, or equivalent) ● Ability to travel (approximately 25%) to client sites within assigned region Benefits   - 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.

Scientific Solutions Partner - Basel, Switzerland Hybrid Solutions Architect Full time Basel, Basel City, Switzerland   What you will do The Role   The Scientific Solutions Partner is a new role born from a deliberate strategic choice: the most effective way to sell TetraScience’s Scientific Data and AI Cloud is to have one person who can credibly do both — win the scientific and technical confidence of the customer and manage the commercial relationship to close.   The Scientific Solutions Partner owns the full customer engagement, from prospecting and discovery through technical solutioning, proof-of-concept, RFP response, and close — and remains accountable for the account’s health, expansion, and renewal alongside the Delivery Manager. Both roles share accountability for identifying and progressing expansion opportunities within their accounts.   You will work with the world's largest  enterprise biopharma, biotech, and life sciences companies, helping them understand how the Tetra Scientific Data Foundry and Tetra OS transforms siloed, raw scientific data into AI-ready scientific datasets across the medallion architecture (bronze → silver → gold → AI-native). You will engage audiences ranging from bench scientists and data engineers to CDOs, VPs of Divisional IT, VPs of Scientific areas, and digital transformation executives.   TetraScience provides its SSPs with AI-powered tools — including Claude Cowork and Codex — that automate RFPs, triage, and contracting workflows, enabling each SSP to operate with the leverage of a larger team.   What You’ll Do   Scientific & Technical Engagement ● Lead technical discovery: understand the customer’s current lab data landscape — instruments, data formats, informatics stack, and data science ambitions ● Design and present compelling solution architectures aligned to the customer’s specific scientific use cases (e.g., ADMET assays, FPLC/UPLC chromatography, bioassay data harmonization, AI training datasets) as well as understanding their core data management pain points and goals. ● Always be leading with demo’s of actual software aligned to the customers main value levers. ● Own and drive proof-of-concept and proof-of-value engagements, partnering with TetraScience scientific data architects to deliver credible, high-quality demonstrations of the Tetra Scientific Data Foundry’s capabilities ● Own RFP technical responses end-to-end, synthesizing platform capabilities, scientific use cases, and customer-specific requirements into compelling, accurate submissions ● Articulate the medallion data architecture in scientific and business terms: how bronze (raw scientific data), silver (harmonized Tetra Data), and gold (analysis-ready datasets) each create value, and how TetraScience’s AI-native layer accelerates scientific outcomes ● Stay current on the scientific and informatics landscape — relevant assay workflows, instrument vendors, SDMS/ELN/LIMS/analytical software integrations, and AI/ML use cases in drug discovery and development   Commercial Ownership ● Prospect, qualify, and build territory pipeline in alignment with the TetraScience go-to-market strategy ● Relentlessly identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts ● Manage the full sales cycle from discovery through contracting, using modern sales methodologies (MEDDIC, MEDDPIC, Force Management, or similar) ● Maintain a rigorous, accurate pipeline with consistent forecasting and visibility to leadership ● Build and expand relationships across the customer organization, from individual contributors to executive sponsors ● Identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts ● Partner with the Delivery Manager to ensure smooth handoff from sales to delivery, maintaining continuity of scientific context   Market & Thought Leadership ● Represent TetraScience at industry conferences, seminars, and customer events as a scientifically credible voice ● Contribute customer and market insights back to product, marketing, and science teams to inform roadmap and messaging ● Help develop compelling content — case studies, solution briefs, demo narratives — that advances the category Requirements   What You Bring ● Advanced degree in a life science, chemistry, or engineering discipline preferred MS or PhD); equivalent practical experience considered ● 7+ years of combined scientific, technical, and commercial experience in life sciences software, laboratory informatics, scientific data infrastructure, or adjacent domains ● Direct experience in pharma, biotech, or CRO/CDMO environments — either as a scientist, scientific software professional, or sales/solutions professional serving these customers ● Demonstrated ability to lead technical sales cycles in enterprise SaaS or scientific software, including POC design and execution and RFP ownership ● Deep familiarity with laboratory workflows and data: you understand what it means when a customer has 50 instruments generating unstructured data that no one can analyze ● Fluency with scientific data concepts: file formats, instrument connectivity, data harmonization, and the path from raw data to AI-ready datasets ● Experience with modern sales methodologies (MEDDIC, MEDDPIC, Force Management, or similar) ● Strong executive presence — equally compelling in a whiteboard architecture session and a C-suite business case conversation ● Proficiency with CRM and digital sales tools (Salesforce, LinkedIn Sales Navigator, ZoomInfo, SalesLoft, or equivalent) ● Ability to travel (approximately 25%) to client sites within assigned region Benefits   - 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.

Scientific Data Architect - Indianapolis Hybrid Scientific Data Architect Full time Indianapolis, Indiana, United States   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.   What You Have Done - PhD with +4 years or Masters with +8 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 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 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 Indianapolis area, 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 - Must be able to travel to client sites in St.Louis, Indianapolis, Chicago regions. Benefits - 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 We are not currently providing visa sponsorship for this position.

Role Description The Data & Semantic Model Architect will serve as the technical and strategic anchor for the "Semantic Layer" and the Common Data Model (CDM) of the Tetra Scientific Data and AI Cloud. You are the rare individual who can "do it all"—bridging deep technical semantics, system architecture, and business outcomes. Crucially, you will be the owner of the Common Model & Exchange Layer of our platform: a set of unified, reusable common data models that allow data to flow seamlessly across different customer environments while driving towards true Ontology. You will define the data contracts and consistent definitions that empower our Forward Deployed Scientific Data Engineers & Architects (FDEs) to deliver rapid, reliable integrations without reinventing the wheel for every deployment. You will ensure our models are not just academically sound, but serve as the robust foundation for scalable data exchange and scientific insight. What You Will Do - Common Data Model & Exchange Strategy - Architect the Exchange Layer: Design and own the Common Data Models (CDMs) that serve as the universal language for scientific data across our customer base. - Empower Forward Deployed Engineering: Create the data contracts and standardized definitions that FDEs rely on. - Standardization vs. Flexibility: Strike the strategic balance between rigid global standards and local flexibility. - Semantic Architecture & Implementation - The "Forest" – Business Alignment: Translate high-level business goals into concrete data modeling strategies. - The "Trees" – Hands-on Modeling: Roll up your sleeves to design and implement complex ontologies and taxonomies. - Software & Data Engineering Integration: Work directly with Engineering to architect the software systems that consume these models. - Cross-Functional Leadership & Governance - Data Contracts & Governance: Establish the "rules of the road" for data quality and consistency. - Scientific Translation: Partner with Scientific Business Analysts to decode the complexity of biopharma R&D. - Interoperability: Architect models that ensure our data is FAIR (Findable, Accessible, Interoperable, Reusable). Qualifications - Common Data Model Expertise: Proven ability to design shared data models that serve as an exchange format between different systems or organizations. - Data Contract Design: Experience defining and enforcing data contracts in a microservices or platform environment. - Architectural Versatility: The ability to switch context effortlessly between high-level system design and low-level entity relationship modeling. - Semantic Fluency: Deep, hands-on expertise with semantic web standards (RDF, OWL, SHACL, SPARQL) and property graph concepts (LPG). - 7+ years of experience in data architecture, informatics, or technical product leadership, specifically within life sciences, healthcare, manufacturing technology. - CDM Framework Expertise: Direct, hands-on experience implementing and extending Common Data Model frameworks such as HL7 FHIR, OMOP (OHDSI), Allotrope, or CDISC. - Terminology & Standardization: Proven mastery in standardizing messy, heterogeneous data using both standard vocabularies and proprietary or custom vocabularies. - Platform & Exchange Experience: Experience building data platforms where standardization and reusability were key value drivers. - Technical Background: Strong proficiency in software development concepts; comfortable reading code, understanding API contracts, and discussing database internals. - Education: Bachelor's or Master’s in a relevant field (e.g., Medical Informatics, Computer Science, Bioinformatics, Physics).

• Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock. • Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics. • Develop infrastructure-as-code using tools like Cloudformation, AWS CDK to ensure repeatable and secure deployments. • Collaborate with AI engineers, data engineers, and platform teams to improve the performance, reliability, and cost-efficiency of AI models in production. • Drive best practices for observability, including monitoring, alerting, and logging for AI platforms. • Contribute to the design and evolution of our AI platform to support new ML frameworks, workflows, and data types. • Stay current with new tools and technologies to recommend improvements to architecture and operations. • Integrate AI models and large language models (LLMs) into production systems to enable use cases using architectures like retrieval-augmented generation (RAG).

About TetraScience 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. The Role We're building a search platform that helps scientists find answers across billions of data points from chemical structures and assay results to unstructured lab documents and instrument data. We're looking for a Lead/Principal Platform Engineer to lead that effort. You'll own the full search stack: indexing and scoring, query understanding and rewriting, retrieval pipelines, and the infrastructure underneath it all. You should be able to fluently apply the state-of-the-art in classical search, custom analyzers, index design alongside newer methods for semantic and hybrid retrieval. You'll go well beyond out-of-the-box OpenSearch to build custom ranking logic, relevance tuning, and scoring models that surface the right result from massive, heterogeneous scientific datasets. This is a hands-on technical leadership role. As the technical leader of the Search Platform team, you'll write code, architect systems, mentor engineers, and shape the roadmap for search capabilities and platform evolution. You'll often operate in ambiguous territory translating loosely defined scientific workflows into well-architected search systems where the "right answer" isn't always obvious and requirements evolve as scientists discover new ways to use the platform. You'll collaborate daily with Applied AI Scientists, platform engineers, and product teams to deliver high-performance search services that drive discovery, analysis, and decision-making across the bio-pharma R&D lifecycle. The domain is bio-pharma R&D, and the data types are fascinating molecular structures (SMILES), experimental datasets, knowledge graphs linking compounds to targets and assays. You don't need to know cheminformatics today, but you should be excited to apply deep search expertise to novel and complex data types. If you've spent your career building scalable search systems and want to do it at the intersection of AI and scientific discovery, we'd love to talk. What You will Do - Architect a full-stack Search Platform across all layers of indexing and scoring,  query understanding, rewriting and federation, and extensible search experiences. - Continuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases. - Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact "needle in the haystack" for drug discovery. - Lead by example and write code, review designs, and set the standard for engineering quality on the Search Platform team. Mentor engineers and help grow the team's search and distributed systems expertise. - Contribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation. - Own and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution. - Develop and maintain backend services and APIs in Python and TypeScript  that power search capabilities for scientists, data engineers, and AI applications. - Ensure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments. - Collaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows. - Architect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to "understand" relationships between compounds, targets, and assays.

• Understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts) • Analyze their data environment and assist in the design and implementation of self-service solutions • Create training artifacts to accelerate adoption and growth • Interfacing between internal and external stakeholders including sales teams, technical teams, customers and potential customers • Convey complex technical concepts in a way that aligns with business needs and potential solutions • Impact how developers adopt TetraScience’s Scientific Data & AI Cloud and leverage new platform capabilities • Collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams to empower customers • Set the strategy for EU developer experience and community, including partners, customers, and independent developers • Gather crucial feedback to inform product development • Educate and inspire the biopharmaceutical industry

About TetraScience 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. What You Will Do 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. The candidate should be driven by a desire to educate and inspire, and have the technical skills to quickly prototype new ideas and solutions. And finally, the candidate should seek to ensure developers can be successful with minimal friction, and champion product and process changes that make this a reality.  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. This is a technical enablement role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential customers. 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; and be responsible for how developers discover, onboard, build, and scale applications. 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. Your success in this role will directly shape TetraScience's growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities - 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 - Technical Skills - 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 - Create supporting materials: tutorials, documentation, sample code, and best practice guides - Communication & Collaboration - 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

About TetraScience 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. What You Will Do 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. The candidate should be driven by a desire to educate and inspire, and have the technical skills to quickly prototype new ideas and solutions. And finally, the candidate should seek to ensure developers can be successful with minimal friction, and champion product and process changes that make this a reality.  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. This is a technical enablement role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential customers. 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; and be responsible for how developers discover, onboard, build, and scale applications. 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. Your success in this role will directly shape TetraScience's growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities - 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 - Technical Skills - 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 - Create supporting materials: tutorials, documentation, sample code, and best practice guides - Communication & Collaboration - 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

About TetraScience 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. What You Will Do 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. The candidate should be driven by a desire to educate and inspire, and have the technical skills to quickly prototype new ideas and solutions. And finally, the candidate should seek to ensure developers can be successful with minimal friction, and champion product and process changes that make this a reality.  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. This is a technical enablement role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential customers. 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; and be responsible for how developers discover, onboard, build, and scale applications. 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. Your success in this role will directly shape TetraScience's growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities - 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 - Technical Skills - 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 - Create supporting materials: tutorials, documentation, sample code, and best practice guides - Communication & Collaboration - 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