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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data modelling and designing information architectures, with a strong focus on integrating biomedical and pharmaceutical data. Proficient in collaborating with cross-functional teams to ensure data quality, compliance, and effective communication across technical and non-technical stakeholders.
Highest-signal resume keywords
Data ModellingBiomedical Data IntegrationAI Tools UtilizationData AnalysisDocumentation Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModellingInformation Architecture DesignData AnalysisData Quality AssuranceData Integration Concepts
Soft Skills
Communication SkillsCollaboration
Tools & Technologies
Database TechnologiesAI AssistantsGenerative AI Tools
Industry Keywords
Biomedical OntologiesPharmaceutical DataHealthcare DataNCltMONDOEFOGOChEBICDISC
About the role
Key responsibilities & impact- Design, develop, and maintain data information models and frameworks supporting research and innovation
- Work with cross-functional teams to understand data needs and translate them into reusable data structures
- Document data definitions, relationships, and lineage for people and AI agents
- Implement processes ensuring data quality, consistency, and compliance
- Collaborate with engineering teams to integrate models into data platforms and pipelines
- Review and refine data modelling practices for continuous improvement
- Work with research scientists, data stewards, data platform teams, and external partners to agree models and drive adoption
Requirements
What you’ll need- Degree in Computer Science, Data Science, Information Management, or a related field
- Proven experience in data modelling, designing information architectures, or similar roles in a pharma setting
- Proven experience curating, harmonizing or integrating biomedical, pharmaceutical or healthcare data
- Proven experience using AI assistants or generative AI tools in daily work, with a critical eye on their output
- Strong skills in data analysis and ability to translate complex requirements into clear models
- Familiarity with database technologies and data integration concepts
- Ability to write clear documentation and communicate with technical and non-technical colleagues
- Working knowledge of biomedical ontologies and standards such as NClt, MONDO, EFO, GO, ChEBI, CDISC
Benefits
Comp & perks- Annual bonus may be offered
- Eligibility to participate in a share-based long-term incentive program may be offered
- Agile working culture and flexibility opportunities
- Adjustments to the recruitment process available upon request
