Quality Engineer - Manual Tester

Søborg

We are looking for a Senior Product Owner for our Client in the pharma industry This is a senior Product Owner position sitting within the product trio alongside the Design Lead and Tech Lead, with full ownership of the product’s launch, adoption, and continued evolution. The Product Owner will serve as the critical bridge between the line of business — medical experts, biostatisticians, and portfolio decision-makers — and a distributed, cross-functional product team spanning Copenhagen, London, India, and the USA. This is a product leadership role, not a coordination function. The right candidate will hold a clear product vision, drive prioritization with confidence, manage complexity across time zones, and accelerate the adoption of a genuinely novel AI product into a regulated pharmaceutical environment. Key Responsibilities Owns the product vision and roadmap in close collaboration with the Design Lead, Tech Lead, and key business stakeholders, ensuring alignment from MVP through to scaled deployment and feature expansion Serves as the primary interface with the line of business — translating the needs of medical experts, biostatisticians, and clinical researchers into clear, well-scoped product requirements and user stories Manages and prioritizes the product backlog, balancing short-term delivery needs with long-term strategic value across a distributed team of frontend, backend, DevOps, and AI engineers Drives structured ways of working across a globally distributed team (Copenhagen, London, India, USA), ensuring clear handovers, asynchronous collaboration standards, and consistent delivery cadence Leads user onboarding and adoption, designing and executing change management initiatives that bring medical experts along on the journey from early adopter to embedded daily use Defines and tracks product success metrics — including time-to-insight, user activation and retention, innovation throughput, and ultimately the agent’s impact on Probability of Success (PoS) in clinical programs Facilitates continuous feedback loops between end users and the product team, ensuring the agent evolves based on real usage patterns and validated needs Collaborates with AI engineers and the Microsoft partnership team to translate complex AI capabilities — reasoning agents, code execution, SQL generation, and statistical analysis — into user-facing product value Ensures responsible AI deployment, working with governance, legal, and compliance stakeholders to maintain trust and regulatory alignment in a pharma R&D context Must-Have Qualifications Proven track record as a Product Owner or Senior Product Manager on a digital or data/AI product, ideally with demonstrated ownership through a go-live and scaling phase Familiarity with the pharmaceutical or life sciences industry — understanding of clinical research, drug development processes, or R&D operations is essential Experience managing distributed, cross-functional teams across multiple time zones — structured, organized, and skilled at asynchronous communication and clear handovers Strong stakeholder management skills, with the ability to engage credibly with both highly technical AI/engineering teams and non-technical domain experts such as medical doctors and biostatisticians Hands-on experience with Agile delivery (Scrum, Kanban, or equivalent), including backlog management, sprint planning, and continuous delivery practices Fluency in English, written and verbal — the working language across all locations Highly Valued Experience Experience with AI, ML, or data-intensive products Exposure to LLMs, AI agents, or analytical tools is a plus Background in adoption and change management Experience onboarding domain experts (clinical, scientific, operational) to new digital tools Experience working in a product trio model (Product, Design, Engineering) Strong collaborative and outcome-driven mindset Familiarity with clinical data, biostatistics, or real-world evidence environments Prior experience in a scale-up or rapid growth product phase Start date: 20-04-2026 End date: 19-04-2027 Location: Søborg, Denmark For the duration of this assignment Ework Services (0,9%) will be deducted from the total amount invoiced. We offer candidates continuously. This means that we sometimes remove the assignments before deadline. If you are interested, we recommend that you apply immidiately.

We are looking for a senior AI Engineer for our client in the pharma industry: This is a senior, hands-on AI engineering position based in the Copenhagen area, embedded within the clients core product team alongside fullstack, frontend, backend, and DevOps engineers. The primary purpose of this role is twofold: 1. Institutional AI knowledge ownership: ensuring that the deep AI engineering expertise being developed through the Microsoft partnership is embedded within Novo Nordisk, not lost to it. This person will be the internal anchor for all AI engineering decisions, patterns, and best practices as the product scales. 2. European timezone AI engineering lead: serving as the daily, in-timezone connection point between the Novo Nordisk development team in Copenhagen and the Microsoft AI Acceleration Studio teams based in the US and London, enabling continuous, well-integrated AI development across the full team. This is a rare opportunity to do advanced AI engineering in a regulated pharma environment, working on a product that directly impacts drug development decisions and to help architect the self-learning systems that will define the next generation of clinical AI tooling . Key Responsibilities Co-own and evolve the AI agent architecture in close collaboration with Microsoft’s AI Acceleration Studio, ensuring the client builds deep internal capability and understanding of every architectural decision Design, build, and maintain agentic tooling: including agent skills, tool definitions, code execution environments, sandboxed runtime environments, and dynamic code generation patterns Lead the engineering of the self-learning loop post-MVP: designing the feedback and evaluation infrastructure that allows the agent to improve continuously based on SME validation scores, usage data, and outcome metrics Serve as the European timezone AI engineering anchor, ensuring seamless handovers, daily continuity, and tight integration between the Copenhagen-based development team and the US/London Microsoft teams Translate AI engineering best practices into the broader development team: upskilling fullstack, backend, and DevOps colleagues on agentic patterns, LLM integration, and evaluation frameworks Own and evolve the evaluation framework for the agent: including system performance metrics, query accuracy metrics, LLM-as-Judge evaluators, and SME scoring pipelines Collaborate on prompt engineering, reasoning chain design, and agent iteration: working at the frontier of what reasoning agents can do in a clinical data environment Ensure production-grade AI engineering standards: including observability, logging, safety guardrails, responsible AI practices, and compliance with pharma regulatory requirements Contribute to the multi-modal expansion of the agent beyond R&D into commercial data domains, competitive intelligence, and portfolio-level intelligence Required Skills Must-Have Qualifications 6+ years of software engineering experience, with a significant and demonstrable focus on AI/ML engineering in production environments Deep, hands-on expertise in building agentic AI systems — including agent architectures, tool/skill design, code execution environments, and multi-step reasoning pipelines Strong proficiency in LLM integration and prompt engineering, with practical experience working with large-scale language models in enterprise or regulated settings Experience designing and operating sandboxed code execution environments for AI agents — understanding the security, reliability, and performance considerations involved Solid software engineering foundations — proficiency in Python (essential), with strong understanding of APIs, data pipelines, cloud infrastructure, and CI/CD practices Experience building evaluation frameworks for AI systems — including automated metrics, LLM-as-Judge patterns, and human-in-the-loop validation workflows Proven ability to work in distributed, cross-timezone engineering teams, with excellent asynchronous communication skills and structured handover practices Fluency in English, written and verbal Highly Valued Experience: Experience working with or within large enterprise AI partnerships (e.g., Microsoft, Google, AWS AI teams) — ability to engage as a peer with senior AI engineers at that level Familiarity with clinical data environments, biostatistics tooling, or pharmaceutical R&D data platforms Experience with SQL generation, statistical analysis automation, or scientific computing in an AI-assisted context Background in RAG (Retrieval-Augmented Generation), knowledge grounding, or domain-specific fine-tuning Exposure to responsible AI, AI governance, or regulated industry AI deployment Experience contributing to or building self-improving or continuous learning AI systems Familiarity with Azure AI, Azure OpenAI Service, or the Microsoft AI platform stack Start date: 20-04-2026 End date: 19-04-2027 Location: Onsite DK For the duration of this assignment Ework Services (0,9%) will be deducted from the total amount invoiced. We offer candidates continuously. This means that we sometimes remove the assignments before deadline. If you are interested, we recommend that you apply immediately.

København

We are looking for 2 x Senior Manuel Tester for our client in the banking industry: The consultants will work on the following: Test analysis Test design Test Execution Test documentation Test reporting Test Koordination Test Planning Ensuring the quality of the new Online meeting booking solution. Must-have knowledge and experience ISTQB certified 8-10+years of experience with manual testing Pension knowledge Azure experience Good communication skills a Team player and used to working with end user Danish language knowledge is required Nice-to-have knowledge and experience Knowledge with systems such as Salesforce, Plexus, Obex, Docgen, Osir, Web solutions is considered a big plus. Start date: 16-04-2026 End date: 16-10-2026 Location: Onsite, Copenhagen area For the duration of this assignment Ework Services (0,9%) will be deducted from the total amount invoiced. We offer candidates continuously. This means that we sometimes remove the assignments before deadline. If you are interested, we recommend that you apply immediately.

København

We are looking for a Senior Manuel Tester for our client in the banking industry: We are looking for a senior manual tester to join the IT Quality Assurance team, ensuring the quality of Business As Usual (BAU) tasks. You will work across the full testing lifecycle, including test analysis, design, execution, reporting, planning, and coordination. The ideal candidate is ISTQB certified with 8–10+ years of experience in manual testing, strong communication skills, and experience working with end users. Experience with Azure and pension systems is required, while knowledge of platforms such as Salesforce and web solutions is a plus. Key responsibilities: Test analysis Test design Test Execution Test documentation Test reporting Test Koordination Test Planning Required skills and qualifications: ISTQB certified 8-10+years of experience with manual testing Pension knowledge Azure experience Good communication skills a Team player and used to working with end user Knowledge with systems such as Salesforce, Plexus, Obex, Docgen, Osir, Web solutions is considered a big plus. Start date: 16-04-2026 End date: 16-10-2026 Location: Onsite Copenhagen area For the duration of this assignment Ework Services (0,9%) will be deducted from the total amount invoiced. We offer candidates continuously. This means that we sometimes remove the assignments before deadline. If you are interested, we recommend that you apply immediately.