Data Science Apprentice
2 months ago
We are a global pioneer in pharmaceuticals and diagnostics, driven by a passion to improve lives. Our mission is to discover, develop, and deliver innovative medical solutions that transform patients' lives. We are committed to scientific rigor, unassailable ethics, and access to medical innovations for all.
About the ApprenticeshipThe Product Development Data Sciences team at Roche is seeking a high-caliber apprentice to join our team to contribute to the development of our medicines, specifically the analysis, reporting, and submission of clinical trial patient data.
Key Responsibilities- Contribute to the development of our medicines by analyzing, reporting, and submitting clinical trial patient data.
- Use data science and technical skills to contribute to the success of data science and insights generation at Roche.
- Work across diverse areas, including data management, governance, acquisition, engineering, visualization, integration, analysis, and privacy.
- Collaborate with cross-functional teams to deliver data and insights about our medicines and provide solutions that aid the collection, database, and analysis of clinical data.
- Delivering reliable analytics to enable Roche's commitment to patients.
- Providing analytical and programming expertise and/or leadership support for the reporting and analysis of clinical trials and related submissions to Health Authorities.
- Using R or SAS, Python, and/or other programming languages to write reusable functions and packages.
- Manipulating and analyzing various data types related to clinical trials, including digital health, genomic, and biomarkers.
- Transforming, organizing, and analyzing healthcare data.
- BSc with a numerate component.
- Sufficient competency in Maths and a relevant programming language (R, SAS, Python, etc.).
- Influential and confident communicator.
- Demonstrates experience or is adaptable to utilizing and/or models modern ways of working consistent with an agile and growth mindset, and agile behaviors and methodologies.
- Fluency in written and spoken English.
- Ability to work across multiple cultures and countries.
- Willingness to travel as required.
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