
Diagnostic Senior Scientist
- Barcelona
- Permanente
- Tiempo completo
- Deliver laboratory-based diagnostic science and innovation projects with a focus on multiplex IHC and proteomics, collaborating closely with cross-functional teams.
- Build and maintain knowledge of current and emerging technologies in diagnostics for the AZ oncology portfolio, identifying opportunities for innovation and collaboration.
- Develop innovative diagnostic science proposals across core therapeutic areas.
- Evaluate the performance of novel diagnostics through feasibility studies and laboratory-based science, adhering to timelines and budget.
- Provide scientific and strategic feedback into precision medicine approaches for diagnostic and drug product teams.
- Ensure all activities align with AstraZeneca's Code of Conduct, supporting policies, standards, and procedures, including compliant management of Budget, Safety, Health, and Environment.
- Masters / PhD or equivalent experience in a relevant subject
- Record of delivery in a scientific capability, including peer-reviewed publications
- Expertise with IHC and one or more of the following technologies (for example, but not limited to: digital pathology, multiplex proteomics, NGS, PCR & imaging)
- Excellent knowledge of current technology trends in oncology diagnostics and precision medicine
- Experience of working with external partners or collaborators (ideally academic investigators and diagnostic companies)
- Ability to communicate with cross-functional stakeholders for project updates through oral presentations and progress reports
- Experience developing tissue-based diagnostic assays in a regulated environment e.g. under In Vitro Diagnostics development standards or within a CAP/CLIA laboratory
- Experience of leading projects within a diagnostic or drug development organisation
- An understanding of drug and companion diagnostic assay co-development and commercialisation and experience working in early and/or late phase projects
- Demonstrable experience of analytical diagnostic assay validation, use in a clinical testing setting and/or delivery of regulatory submission
- Good computational and data analysis skills enabling automated/semi-automated analysis of large datasets (e.g. using software and programming languages such as R, Python, knime or equivalent)
- Knowledge of requirements related to handling of Human Biological Samples