Freelance IT Opgaver fra Ework Group

Søborg

We are looking for a Senior eTMF Business Analyst for our client within the Pharma Industry We are looking for a external consultant to join our team working with the eTMF. Required skills: We are looking for the following qualifications within the eTMF/Clinical management system domain. Senior eTMF Business Analyst — Veeva system specialist with eTMF/Clinical management system domain expertise, technical understanding, independent delivery capability, and excellent stakeholder/communication skills. Domain knowledge. Experience from Veeva systems, preferably Veeva eTMF/Clinical management system Hands-on knowledge of Veeva eTMF features (document ingestion, metadata, workflows, audit trails) or equivalent eTMF platforms and clinical trial conduct experience. (would be awesome, but can be learned) Drive solution discovery. Propose pragmatic, compliant options, perform impact analyses, and support cost/effort trade-off/value input. Hypothesis-driven approach. Frame problems, design lightweight experiments (pilots), and iterate on solutions using measurable outcomes Data-driven approach supporting metrics and data extracts to validate problems, prioritize fixes, and measure improvement Strong stakeholder skills and can run workshops and perform stakeholder interviews to uncover problems, root causes, and desired outcomes. Can lead communications, training and change adoption activities for assigned initiatives Personal skills we also expect from the consultant we are looking for: Self-starter who can run initiatives end-to-end with minimal supervision Is a team player that thrives working in a team Have basic knowledge of working in a agile setup Start date: 01-05-2026 End date: 31-12-2026 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 immediately.

Søborg

We are looking for a System/Solution Architect for our client in the Pharma industry We need a system/solution architect for the NextGen PPM project. The role will include being the tech lead in the project. PPM: Project and Portfolio Management - a project management tool to cater for our product planning activities across organisations in NN. The project is anchored in R&D. We will be procuring a SaaS solution (via RfP) and need to design and build data pipelines in DataCore (Databricks) to serve relevant data to the SaaS solution. We need an architect to be overall responsible for the solution end to end, to guide the developers, ensure use of best practices (incl. coordinating with DataCore and their best practices). Proven expertise in designing IT systems, cloud infra, integration (API), scalability, CI/CD, Databricks, IT security. Help evaluate the SaaS solutions in the RfP will be part of the responsibilities. Required Skills Databricks + data platform access Orchestration Experience with building LLM based solutions Well versed in solutions based on Python backends and node front ends Knowledge of AzureDevOps (ADO) Start date: 01-05.2026 End date: 31-12-2026 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 immediately.

Bagsværd

We are looking for a Project Manager/Scrum Master for our client in the Pharma Industry Job Description Project Management/Scrum Master role with responsibility for two agile delivery teams in EIS (Enterprise Integrations and SCADA) product area. Co-ordination with peers, other product owners, architects, compliance and QAs along with developers is expected. Coaching the team as a servant leader and fostering a continual improvement culture. Facilitating both team and program level agile events and ceremonies is expected, including team reporting. Sharing RTE / Agile Coach activities with other scrum masters and coaches can be expected from time to time. Required Skills Experience in working as Scrum Master and RTE in an agile working environment with multiple delivery teams in an IT/OT product area. Experience in working in a regulated GxP work environment is essential. Experience as Agile Coach is an advantage. Experience with working with Azure DevOps tools. Start date: ASAP End date: 31-12-2026 Location: Bagsværd, 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 immediately.

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.