At a Glance
- Tasks: Drive data strategies and lead advanced analytics to influence clinical decision-making.
- Company: Join Roche, a leader in healthcare innovation with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and opportunities for personal growth.
- Other info: Dynamic environment with a focus on mentorship and collaboration.
- Why this job: Make a real impact on patient outcomes through innovative data solutions.
- Qualifications: Master’s or PhD in relevant fields and 6+ years of research experience.
The predicted salary is between 70000 - 90000 £ per year.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
The Opportunity
Are you ready to unlock the power of clinical and real-world data to accelerate life-changing innovation? As the Principal Data Strategy & Analytics Specialist, you will drive analytical excellence and shape advanced data strategies that directly influence evidence generation and clinical decision-making. Working within our collaborative global ecosystem, you will bridge the gap between complex scientific questions and technical data solutions to deliver meaningful outcomes for patients.
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 standardization, metadata harmonization, and data asset definitions to maximize data reuse and accessibility.
Who You Are
You are an analytical thinker and strategic problem-solver who thrives on transforming complex data into actionable medical insights. You bring a collaborative mindset, excellent communication skills, and a passion for mentoring others in a diverse, global environment.
To be successful in this role, you bring:
- Advanced Education: A 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 conceptualizing and delivering real-world data (RWD) studies or using historical clinical trial data within a research or healthcare setting.
- Deep Methodological Expertise: A 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, along with experience applying machine learning or artificial intelligence models to complex clinical or prognostic datasets.
- Strategic Communication & Mentorship: The ability to explain highly complex statistical concepts clearly, translate business objectives into structured analytical frameworks, and act as a supportive and positive influence on peers through active mentoring and upskilling, demonstrating the ability to influence key stakeholders by delivering clear, data-driven narratives that effectively drive decision-making.
Preferred Qualifications:
- Familiarity with healthcare data standards such as CDISC, OMOP, or FHIR.
- Experience working with malignancy hematology or oncology datasets.
Location
This role is based onsite at our Welwyn, United Kingdom office. Our team follows a hybrid work structure, requiring a fixed number of onsite days per week. Relocation Assistance is not available.
At Roche, you’ll thrive in a culture that values different perspectives and creates a place of belonging, where we challenge ourselves to excel and achieve strong results, together. Ready to make a difference? Apply today!
Principal Data Strategy & Analytics Specialist in Welwyn employer: F. Hoffmann-La Roche AG
At Roche, we pride ourselves on fostering a vibrant work culture that champions diversity and encourages personal expression. As a Principal Data Strategy & Analytics Specialist in Welwyn, you will not only have the opportunity to drive innovative data strategies that impact patient outcomes but also benefit from a collaborative environment that supports professional growth and mentorship. Join us to be part of a team where every voice matters and where your contributions can lead to meaningful advancements in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Strategy & Analytics Specialist in Welwyn
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We think you need these skills to ace Principal Data Strategy & Analytics Specialist in Welwyn
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at F. Hoffmann-La Roche AG, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at F. Hoffmann-La Roche AG. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at F. Hoffmann-La Roche AG
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at F. Hoffmann-La Roche AG!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
