Senior Data Analyst

We are looking for a Senior Data Analyst with a Pharmaceutical, Clinical, or Biological sciences background to join our team supporting a major pharmaceutical client's in vitro application portfolio. This is a unique opportunity for someone who combines scientific domain knowledge with data expertise and wants to deepen their experience within a leading global pharmaceutical environment. You will work closely with client-side applications and domain specialists, gaining hands-on exposure to specialized pharma R&D processes and learning from experienced experts in the industry Responsibilities Act as a domain expert for a technical support team of approximately 15 Full-Stack and Data Engineers Help the engineering team understand the client's in vitro applications, data flows, and overall application landscape Create clear application portfolio and data-flow visualizations Prepare documentation and knowledge materials that enable engineers to investigate and resolve support requests efficiently Translate scientific and application-specific concepts into information that technical specialists can easily understand and use Work independently with clear deliverables and timelines while collaborating closely with a distributed international team Continuously strengthen your expertise in the pharma R&D domain while working alongside experienced specialists Requirements Educational or professional background in Pharmaceutical Sciences, Clinical Sciences, Biology, Bioinformatics, Data Science, or a closely related field A minimum of 3 years of relevant experience with one or more specialized life-sciences applications, particularly Genedata Screener, Dotmatics, or Signal VitroVivo Experience working with scientific or pharmaceutical data, including an understanding of how data moves between applications and systems Ability to analyze complex information and translate it into clear visualizations, documentation, and practical guidance for technical teams Strong communication skills and confidence engaging with both scientific/domain experts and engineers Ability to work independently, manage agreed deliverables, and collaborate effectively within a distributed team Solid grounding in biology and clinical sciences to support accurate interpretation of pharmaceutical data and processes Strong business communication skills to bridge scientific and technical conversations across teams Experience with data analysis and quality practices to ensure accuracy and reliability in support documentation Skilled in data visualization techniques to present complex information in an accessible, actionable format Understanding of pharmaceutical medicine principles relevant to in vitro application support Fluent English communication skills at a B2 level or higher Nice to have Familiarity with Agile ways of working within distributed, cross-functional teams Strong team-player mindset, with the ability to collaborate effectively across diverse groups Background or interest in Life Sciences as a broader field of knowledge Experience mentoring colleagues or junior team members to support their growth and development Skilled in stakeholder management, with the ability to build trust and alignment across technical and business groups A Bachelor's degree, with a Master's degree considered an additional plus