Senior Data Strategy & Analytics Specialist

Are you passionate about turning complex biomedical data into actionable strategies that shape the future of healthcare? As our Senior Data Strategy & Analytics Specialist, you will play a key role in designing and executing data strategies that enable advanced decision-making across our therapeutic areas and molecule portfolios. Based within the Real-World & Clinical Data Strategy (RWCDS) team, you will bridge the gap between scientific questions and practical technical solutions, transforming clinical, operational, and real-world data into innovative assets that accelerate drug development.,

• Execute Data Strategies: Lead the execution of defined components of therapeutic area or program-level data strategies, seamlessly integrating diverse, multi-modal data types.
• Design Advanced Analyses: Design and execute complex data analyses for specific use cases across real-world, clinical, and operational domains.
• Advocate for Harmonization: Independently apply standard data models and metadata practices to support long-term data governance and harmonization efforts.
• Act as a Subject Matter Expert : Support scientific and operational teams as an expert in data sourcing, curation, and analytical readiness, while also executing the required analytical work when needed.
• Drive Data Accessibility: Collaborate closely with internal data stewards, scientists, and stakeholders to improve data workflows, technical requirements, and analytical usability.
  
  You are an independent, analytical thinker who excels at translating complex scientific research needs into structured data workflows. You bring excellent communication skills, strategic agility, and a collaborative mindset that allows you to thrive in a global, multicultural environment., Advanced Technical Education : A Master's degree or PhD in Data Science, Life Sciences, Informatics, or a related technical discipline.
• Data & Analytics Experience : 3+ years of experience working directly with clinical, operational, or real-world data (RWD) systems.
• Modern Software Proficiency : Advanced, hands-on experience using analytical programming languages like R or Python.
• Data Framework Mastery: Demonstrated experience applying FAIR data principles (Findable, Accessible, Interoperable, Reusable) and managing metadata in a regulated data environment.
• Production-Grade Analytics : Working knowledge of Machine Learning Operations (MLOps) practices, including containerization and pipeline orchestration, to transition models from experimentation to production-grade systems.
Preferred Qualifications:
• Familiarity with common healthcare data standards such as OMOP, CDISC, or HL7 FHIR.
• Exposure to cloud-based data engineering tools, knowledge graphs, or clinical trial development workflows.
  
  A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.