At a Glance
- Tasks: Develop and validate digital health data assets for innovative clinical research.
- Company: Join Roche, a global leader in healthcare innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
- Why this job: Make a real impact on healthcare by working with cutting-edge digital solutions.
- Qualifications: Master’s or Bachelor’s in relevant field and experience in data annotation or validation.
- Other info: Collaborative environment with a focus on creativity and global teamwork.
The predicted salary is between 48000 - 72000 £ 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.
Overview
This role is based in the Digital Endpoints and Patient-Centered Solutions (DEPCS) team, the innovative digital, AI, and tech function within Roche Product Development Data Sciences (PDD). DEPCS embeds patient-centered and AI-enabled digital solutions into clinical research. By integrating data science, measurement science, and digital product thinking, DEPCS delivers scalable and regulatory-ready innovations that enhance trial design, evidence generation, and the clinical value of Roche medicines.
The Opportunity:
As a Data Strategy, Annotation, and Validation Specialist within the Digital Endpoints and Patient-Centered Solutions (DEPCS) function, you will contribute to building scalable, high-quality, and regulatory-ready digital health data assets. Your work will focus on structuring, annotating, and validating multi-modal data (e.g., imaging, wearable, or eCOA) to support the development of novel digital endpoints and AI-enabled solutions. Collaborating closely with Clinical Operations, Regulatory, Data Science, and Product teams, you will play a key role in ensuring data is Findable, Accessible, Interoperable, and Reusable (FAIR) and that it meets scientific and technical standards throughout the product lifecycle.
Responsibilities
- You work independently to develop and implement structured annotation and data readiness workflows for digital health modalities such as wearables or imaging.
- You lead or contribute to the creation and refinement of validation frameworks for new data sources and digital endpoints.
- You collaborate with data scientists, engineers, product teams, and junior resources to embed data standards and quality checks into digital health solutions.
- You drive application of FAIR data principles to ensure digital assets are traceable, structured, and fit-for-purpose for regulatory and scientific use.
- You monitor performance of annotation tools or platforms to ensure efficiency, accuracy, and scalability.
Qualifications
- You hold a Master’s or Bachelor’s degree in Biomedical Engineering, Data Science, or a related technical field.
- You have a minimum of 5 years of experience supporting data annotation, standardization, or validation in digital health, clinical research, or related settings, or an advanced degree with 3 years of equivalent work experience.
- You are familiar with structured data models, metadata standards, and annotation tooling.
- You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles.
- You bring 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 have 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.
Preferred
- Experience working with regulatory-aligned digital data or platforms.
- Exposure to annotation workflows, data quality assurance, or ML-based validation methods.
- Experience contributing to technical documentation and structured metadata libraries.
- Familiarity with collaboration across cross-functional and global teams.
Relocation benefits are not available for this posting.
Who we are
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. Roche is an Equal Opportunity Employer.
Senior Data Strategy, Annotation, and Validation Specialist in Welwyn employer: Roche
Contact Detail:
Roche Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Strategy, Annotation, and Validation Specialist in Welwyn
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Roche. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by understanding Roche's culture and values. Show how your unique qualities align with their mission to innovate healthcare.
✨Tip Number 3
Practice your storytelling skills. Be ready to share specific examples of your experience in data strategy and validation that highlight your problem-solving abilities.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're serious about joining the Roche team.
We think you need these skills to ace Senior Data Strategy, Annotation, and Validation Specialist in Welwyn
Some tips for your application 🫡
Be Yourself: At StudySmarter, we value authenticity. Make sure your application reflects who you are and what unique qualities you bring to the table. Don’t be afraid to show your personality!
Tailor Your Application: Take the time to customise your CV and cover letter for the role. Highlight your relevant experience in data strategy and validation, and connect it back to how it aligns with our mission at Roche.
Showcase Your Skills: We want to see your expertise shine! Clearly outline your experience with structured data models and annotation workflows. Use specific examples to demonstrate your problem-solving and critical thinking skills.
Apply Through Our Website: Make sure to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Roche
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data annotation, validation, and the FAIR principles. Brush up on your knowledge of structured data models and metadata standards, as these will likely come up during the interview.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to discuss your experience collaborating with data scientists, engineers, and product teams. Share specific examples of how you’ve successfully worked in cross-functional settings.
✨Prepare for Technical Questions
Expect questions that test your problem-solving and critical thinking skills. Be ready to explain complex technical concepts in simple terms, as communication is key in this role. Practise articulating your thought process clearly.
✨Embrace Cultural Differences
Roche values respect for cultural diversity. Think about your experiences working in global teams and be ready to share how you’ve navigated cultural differences in a professional setting. This will show your adaptability and respect for others.