Senior Data Analyst

Accountabilities • Serve as a scientific and domain expert for a technical support team of approximately 15 Full-Stack and Data Engineers.

• Help engineering teams understand in vitro applications, data flows, and the broader application landscape.

• Create clear visual representations of application portfolios, system relationships, and data flows.

• Develop documentation and knowledge resources that help engineers investigate and resolve support requests efficiently.

• Translate scientific, biological, and application-specific concepts into clear, actionable information for technical specialists.

• Collaborate with client-side application teams and domain experts to clarify pharmaceutical workflows and support technical understanding.

• Work independently toward defined deliverables and timelines while coordinating effectively with an internationally distributed team.

• Apply data analysis, visualization, and quality practices to ensure support materials are accurate, accessible, and reliable.

• Continuously expand pharmaceutical R&D knowledge through collaboration with experienced specialists.

• Facilitate effective communication and knowledge sharing between scientific and technical stakeholders.

Requirements

• Educational or professional background in Pharmaceutical Sciences, Clinical Sciences, Biology, Bioinformatics, Data Science, or a closely related field.

• At least 3 years of relevant experience working with specialized life sciences applications, particularly Genedata Screener, Dotmatics, or Signal VitroVivo.

• Experience working with scientific or pharmaceutical data, including an understanding of how information moves between applications and systems.

• Strong analytical skills and the ability to turn complex information into clear visualizations, structured documentation, and practical technical guidance.

• Solid knowledge of biology and clinical sciences to support accurate interpretation of pharmaceutical data and processes.

• Understanding of pharmaceutical medicine principles relevant to in vitro application support.

• Experience with data analysis, quality practices, and visualization techniques to ensure information is accurate, reliable, and easy to understand.

• Strong communication and business communication skills, with the ability to collaborate confidently with scientific experts, engineers, and other stakeholders.

• Ability to work independently, manage agreed deliverables, meet deadlines, and contribute effectively within a distributed international team.

• English proficiency at B2 level or higher.

Nice to have:

• Familiarity with Agile methodologies in distributed, cross-functional environments.

• A collaborative mindset and the ability to work effectively with diverse teams.

• Background or interest in the broader Life Sciences field.

• Experience mentoring colleagues or junior team members.

• Stakeholder management skills, including the ability to build trust and alignment across technical and business groups.

• A Bachelor's degree; a Master's degree is considered an additional advantage.

Benefits

• International projects: Opportunities to contribute to projects for leading global organizations.

• Global collaboration: Work alongside highly skilled professionals from diverse backgrounds.

• Healthcare benefits: Access to healthcare-related benefits.

• Employee financial programs: Resources and programs designed to support financial well-being.

• Paid time off: Paid leave and sick leave.

• Professional development: Access to upskilling, reskilling, and certification courses.

• Online learning: Unlimited access to LinkedIn Learning, including more than 22,000 courses.

• Global career opportunities: Potential to explore career growth across international teams and projects.

• Community involvement: Opportunities to participate in volunteering and community initiatives.

• Employee groups: Opportunities to connect with colleagues through employee communities.

• Recognized workplace culture: An award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

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