Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Real World Data Scientist

F. Hoffmann-La Roche Gruppe
Welwyn
1 week ago
Create job alert

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 Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.


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. Through deep partnerships with internal functions and external collaborators, we shape a future‑ready data ecosystem that supports personalized healthcare and efficient drug development.


The Opportunity:


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 experience working with healthcare or real‑world data in applied research settings; or an advanced degree with 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

Location



  • This position is based in Welwyn
  • Relocation Assistance is not available

#PDDUK


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.


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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Associate (Data Scientist) - London, Wroclaw

Data Scientist – Grid Innovation Model Development

Data Scientist

Artificial Intelligence Engineer

Senior Machine Learning Engineer - Biotech Start-up - NLP research

Senior Machine Learning Engineer - Biotech Start-up - NLP research

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.