At a Glance
- Tasks: Generate insights from real-world data to inform healthcare decisions and clinical development.
- Company: Join Roche, a global leader in healthcare innovation and personal expression.
- Benefits: Hybrid work structure, supportive culture, and opportunities for professional growth.
- Other info: Collaborative environment that values diversity and encourages continuous learning.
- Why this job: Make a real impact on healthcare by leveraging data for better patient outcomes.
- Qualifications: Master’s or PhD in relevant fields with experience in healthcare data analysis.
The predicted salary is between 40000 - 50000 £ 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.
This role is based in the Real-World & Clinical Data Strategy (RWCDS) team which drives data excellence and analytics to power enhanced decision-making and evidence-generation within Roche Product Development. We develop and implement data strategies that unlock the value of clinical, operational, and real-world data to accelerate evidence generation, decision-making, and innovation across PD and beyond. By embedding FAIR principles, advancing data governance, and enabling data productization, RWCDS ensures that data is not only findable and usable, but also a driver of scientific rigor, regulatory readiness, and AI-powered transformation.
The RWD Scientist plays a key role in generating insights from real-world data to inform clinical development, regulatory strategy, and healthcare decision-making. You will design and execute observational studies, contribute to data strategy, and collaborate across teams within Development and the broader Pharma organization. Your work enables evidence generation across therapeutic areas and supports the responsible and impactful use of real-world data at scale.
- You support use of RWD by designing studies to address clinical, operational, regulatory, or payer questions.
- You work within established guidelines and data science processes to contribute to data cleaning, descriptive analytics, and exploratory evidence generation.
- You assist in identifying relevant real-world data sources and performing feasibility assessments under guidance from senior data scientists.
- You apply expertise in observational study methodology to appropriately interpret results of studies.
- You build expertise in novel data types, statistical methods, and analytical methodology, which may include advanced analytics, special trial designs and types, and data handling methods.
- You support knowledge sharing and continuous improvement in RWD methodology and delivery.
- You continuously look for opportunities to broaden knowledge, capabilities and skill set.
Who you are:
- You hold a Master’s or PhD in Epidemiology, Biostatistics, Health Economics, or a related field.
- You have a minimum of 2-4 years of experience working with healthcare or real-world data in applied research settings; or an advanced degree with 0-2 years of equivalent work experience.
- You have experience using statistical software (e.g., R, SAS, Python) for data analysis.
- You have the capacity for independent thinking and ability to make decisions based upon sound principles.
- You exhibit excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond technical domain.
- You demonstrate respect for cultural differences when interacting with colleagues in the global workplace.
- You possess 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 in agile project teams or regulated environments.
- Exposure to pharmacoepidemiology or HEOR.
This position is based in Welwyn Garden City, UK. Our team follows a hybrid work structure, requiring a fixed number of onsite days per week. Relocation Assistance is not available.
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.
Real World Data Scientist employer: Roche
Contact Detail:
Roche Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real World Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former Roche employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the RWCDS team. Personal connections can make all the difference!
✨Tip Number 2
Prepare for your interview by diving deep into Roche's mission and values. Understand how your skills in data science can contribute to their goal of advancing healthcare. Show them you’re not just a fit for the role, but for the company culture too!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of your past work with real-world data. Highlight your problem-solving abilities and how you've used data to drive decisions. This will showcase your expertise and fit for the RWD Scientist role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Roche and being part of their mission for a healthier future.
We think you need these skills to ace Real World Data Scientist
Some tips for your application 🫡
Be Yourself: At Roche, we want to see the real you! Don’t be afraid to let your unique qualities shine through in your application. Show us what makes you tick and how you can contribute to our mission.
Tailor Your Application: Make sure to customise your CV and cover letter for the RWD Scientist role. Highlight your experience with real-world data and any relevant projects you've worked on. We love seeing how your skills align with our needs!
Show Your Passion for Data: We’re all about innovation and evidence generation at Roche. In your application, share your enthusiasm for data science and how you’ve used it to drive decision-making in past roles. Let us know why this excites you!
Apply Through Our Website: To make sure your application gets to us, apply directly through our website. It’s the best way to ensure we see your application and can consider you for the role. We can’t wait to hear from you!
How to prepare for a job interview at Roche
✨Know Your Data
As a Real World Data Scientist, it's crucial to be well-versed in the types of data you'll be working with. Brush up on your knowledge of real-world data sources and methodologies. Be prepared to discuss how you would approach designing observational studies and interpreting results.
✨Showcase Your Technical Skills
Make sure to highlight your experience with statistical software like R, SAS, or Python during the interview. Prepare examples of how you've used these tools in past projects, especially in relation to data cleaning and exploratory analysis. This will demonstrate your technical proficiency and problem-solving abilities.
✨Emphasise Collaboration
Roche values teamwork and collaboration, so be ready to share experiences where you've worked effectively within a team. Discuss how you’ve partnered with others to drive data excellence and decision-making. This shows that you can thrive in their culture of open dialogue and genuine connections.
✨Communicate Clearly
Since the role requires excellent verbal and written communication skills, practice explaining complex concepts in simple terms. You might be asked to present a past project or study, so ensure you can convey your findings clearly and concisely, making it accessible to those who may not have a technical background.