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