Roche aims to drive data excellence and analytics to power enhanced decision-making and evidence-generation within Roche Product Development by developing and implementing data strategies that unlock the value of clinical, operational, and real-world data.
Requirements
- You have 2+ years of experience working with structured data in a research or healthcare setting
- You have basic knowledge of R or Python
- You understand data dictionaries, mappings, or metadata tagging
- You are familiar with data systems used in clinical or operational settings
- Exposure to healthcare data models or clinical trial datasets
- Experience working in a matrixed or agile team environment
Responsibilities
- You assist in documenting data strategies and requirements for programs and therapeutic areas
- You support data integration and harmonization efforts by applying templates and standard protocols
- You contribute to analytic execution for use cases leveraging multi-modal data sources across real-world, clinical, and operational domains
- You contribute to mapping exercises and data lineage documentation to support reuse and data quality
- You analyze data structure and support the standardization of terminology and metadata
- You collaborate with team members and internal partners to maintain structured and accessible data assets
Other
- You hold a Bachelor’s or Master’s degree in Informatics, Life Sciences, Computer Science, or a related field
- You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles
- You exhibit excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond the technical domain
- You demonstrate respect for cultural differences when interacting with colleagues in the global workplace
- You possess excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language
