Senior Data Analyst
New
J
JobgetherPharmaceutical R&D
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Data Analyst based in Brazil.Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English proficiency at B2 level or higher.
- Experience
- At least 3 years of relevant experience working with specialized life sciences applications, particularly Genedata Screener, Dotmatics, or Signal VitroVivo.
- Required Skills
- DocumentationData visualization
Requirements
- Have an educational or professional background in Pharmaceutical Sciences, Clinical Sciences, Biology, Bioinformatics, Data Science, or a closely related field.
- Have at least 3 years of relevant experience with specialized life sciences applications, particularly Genedata Screener, Dotmatics, or Signal VitroVivo.
- Have experience working with scientific or pharmaceutical data and understand how information moves between applications and systems.
- Demonstrate analytical skills and the ability to turn complex information into visualizations, structured documentation, and practical technical guidance.
- Have knowledge of biology and clinical sciences to interpret pharmaceutical data and processes accurately.
- Understand pharmaceutical medicine principles relevant to in vitro application support.
- Have experience with data analysis, quality practices, and visualization techniques.
- Communicate and collaborate with scientific experts, engineers, and other stakeholders.
- Work independently, manage agreed deliverables, and meet deadlines.
- Have English proficiency at B2 level or higher.
- Familiarity with Agile methodologies in distributed, cross-functional environments is a nice to have.
- A Bachelor's degree is a nice to have; a Master's degree is an additional advantage.
Responsibilities
- 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 visual representations of application portfolios, system relationships, and data flows.
- Develop documentation and knowledge resources to help engineers investigate and resolve support requests.
- Translate scientific, biological, and application-specific concepts into actionable information for technical specialists.
- Collaborate with client-side application teams and domain experts to clarify pharmaceutical workflows.
- Work toward defined deliverables and timelines while coordinating with an internationally distributed team.
- Apply data analysis, visualization, and quality practices to ensure support materials are accurate, accessible, and reliable.
- Facilitate communication and knowledge sharing between scientific and technical stakeholders.
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