At a Glance
- Tasks: Drive data strategy and lead advanced analytics for innovative healthcare solutions.
- Company: Join Roche, a leader in healthcare innovation with a commitment to diversity.
- Benefits: Enjoy a hybrid work structure, competitive salary, and opportunities for professional growth.
- Other info: Collaborate globally with experts and contribute to a future-ready healthcare data ecosystem.
- Why this job: Make a real impact in healthcare by leveraging cutting-edge data strategies.
- Qualifications: Master's or PhD in relevant fields with 6+ years of research experience.
The predicted salary is between 80000 - 100000 £ per year.
Key Responsibilities
- Drive Data Strategy: Develop and execute therapeutic area‐specific data strategies that align with clinical, scientific, and translational goals.
- Lead Advanced Analytics: Design and execute complex analytical frameworks leveraging multi‐modal data sources across real‐world data (RWD), clinical trials, and operational domains.
- Enable Innovation: Act as a thought leader on data access, integration, and interoperability approaches to build a future‐ready healthcare data ecosystem.
- Collaborate Globally: Partner closely with data scientists, data stewards, and external vendors to translate complex business needs into clear, technical data solutions.
- Advance Data Standards: Contribute directly to enterprise‐wide data standardisation, metadata harmonisation, and data asset definitions to maximise data reuse and accessibility.
Qualifications
- Advanced Education: Master's degree or PhD in Epidemiology, Statistics, Data Science, Bioinformatics, Life Sciences, or a related technical field.
- Proven Research Experience: 6+ years of experience conceptualising and delivering real‐world data (RWD) studies or using historical clinical trial data within a research or healthcare setting.
- Deep Methodological Expertise: Strong foundation in pharmacoepidemiology principles, observational study designs, and advanced methods to control for confounding (such as Propensity Score Matching or Inverse Probability Weighting).
- Technical & Machine Learning Proficiency: Advanced skills in R or Python, and experience applying machine learning or artificial intelligence models to complex clinical or prognostic datasets.
- Strategic Communication & Mentorship: Ability to explain highly complex statistical concepts clearly, translate business objectives into structured analytical frameworks, and mentor peers, demonstrating influence on key stakeholders.
Preferred Qualifications
- Familiarity with healthcare data standards such as CDISC, OMOP, or FHIR.
- Experience working with malignancy hematology or oncology datasets.
Location
Onsite at the Welwyn, United Kingdom office. Hybrid work structure; fixed number of onsite days per week. Relocation assistance not available.
Equal Opportunity Statement
At Roche, 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.
Principal Data Strategy & Analytics Specialist in Welwyn Garden City employer: F. Hoffmann-La Roche AG
At Roche, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Welwyn office provides a hybrid work structure, allowing for flexibility while ensuring that our employees can engage directly with their teams. With a strong commitment to employee growth, we offer opportunities for mentorship and professional development, making it an ideal environment for those looking to make a meaningful impact in the healthcare data landscape.
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