At a Glance
- Tasks: Develop scalable tools and workflows for high-quality statistical computing in healthcare.
- Company: Join Roche, a leader in innovative healthcare solutions with a diverse culture.
- Benefits: Competitive salary, inclusive environment, and opportunities for personal and professional growth.
- Why this job: Make a real impact on healthcare by innovating data science solutions.
- Qualifications: Master's or PhD in a quantitative field with experience in data science and programming.
- Other info: Collaborative team environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ 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 Position
A healthier future. It 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 in Analytical Data Science, a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across Development at Roche. PDD Analytical Data Science teams are mobilized across the portfolio to generate data-driven insights, identify opportunities for scale, and implement impactful solutions.
PDD Analytical Data Science is recognized as a leading hub for top industry talent, operating as an agile workforce to deliver regulatory commitments across the portfolio. We identify, influence, and adopt industry-leading digital and automation solutions, develop analytical approaches to support exploratory analyses, and align statistical programming practices across both early- and late-stage clinical development.
The Opportunity:
The Data Science Acceleration (DSX) team is responsible for developing scalable tools, environments, and workflows that enable efficient, high-quality statistical computing across Product Development Data Sciences (PDD). This role focuses on creating and maintaining next-generation capabilities that support automation of programming workflows, generation of reusable coding macros, and advanced data visualization. Working closely with statistical programmers, biostatisticians, and clinical scientists, the Data Scientist translates scientific and operational needs into robust, modular, and user-friendly solutions that streamline evidence generation and support faster, more reliable decision-making across the development pipeline.
- You design, develop, and maintain robust statistical computing tools and platforms that support scalable, high-quality analytics across Product Development Data Sciences (PDD).
- You lead the development of reusable code modules, macro libraries, and workflow automation components that accelerate statistical programming and insight generation.
- You serve as a key technical partner to statistical programmers, biostatisticians, and clinical scientists, translating scientific and operational needs into scalable, user-centered solutions.
- You contribute to architectural decisions, codebase design patterns, and infrastructure improvements to enhance reproducibility, performance, and maintainability.
- You lead or contribute to moderate-sized DSX projects, coordinating deliverables and ensuring alignment with broader development timelines and regulatory priorities.
- You act as a functional mentor and technical resource to junior team members, fostering best practices in code development, testing, and documentation.
- You collaborate cross-functionally to expand data visualization, workflow orchestration, and computing capabilities that enable faster, more flexible evidence generation.
- You integrate feedback from internal users and stakeholders to iterate and improve DSX platforms, balancing innovation with reliability and compliance.
Who you are:
- You hold a Master’s degree or PhD in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative field.
- You have experience in data science, statistical computing, or software engineering, preferably within a life sciences, healthcare, or regulated environment.
- You have a proven ability to independently develop, optimize, and scale data science tools or platforms in support of clinical or scientific workflows.
- You are proficient in programming languages such as R or Python, with hands-on experience in version control (e.g., Git), testing frameworks, and workflow orchestration tools.
- You have a strong understanding of data pipelines, analytical workflows, and computational environments that support regulatory and exploratory analysis.
- You have experience collaborating with cross-functional teams, translating user needs into scalable technical solutions, and iterating based on stakeholder feedback.
- 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 designing and maintaining data science tools, packages, or platforms used by multiple teams across an organization.
- Familiarity with enterprise-level statistical computing environments, containerized workflows (e.g., Docker, Kubernetes), or cloud-based infrastructure.
- Demonstrated ability to contribute to or lead cross-functional initiatives involving data science, programming, and systems engineering.
- Deep understanding of software development best practices (e.g., CI/CD, modularization, dependency management) in scientific programming contexts.
- Experience implementing automation, reproducibility, or performance optimization within clinical or exploratory data workflows.
- Ability to synthesize user requirements from scientists, programmers, and clinical teams into well-scoped, technical specifications.
- Strong awareness of the evolving data science landscape in healthcare or pharma, including tools, standards, and innovation trends.
- Previous contributions to internal knowledge-sharing, training, or code reuse efforts across departments or teams.
Location:
This position is based in Welwyn. 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.
Senior DSX Data Scientist in Welwyn Garden City employer: F. Hoffmann-La Roche AG
Contact Detail:
F. Hoffmann-La Roche AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior DSX Data Scientist in Welwyn Garden City
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Roche on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with R or Python, and be ready to showcase how you've tackled data science challenges in the past.
✨Tip Number 3
Show your passion for healthcare and innovation during interviews. Share examples of how your work has made an impact, and express your excitement about contributing to Roche's mission of advancing science and improving lives.
✨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 serious about joining the Roche team.
We think you need these skills to ace Senior DSX Data Scientist in Welwyn Garden City
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior DSX Data Scientist role. Highlight your relevant experience in data science, programming, and any specific tools or languages mentioned in the job description. We want to see how you fit into our team!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use examples from your past work to show how you've developed scalable tools or automated workflows. This is your chance to shine and show us what you can bring to Roche.
Be Clear and Concise: When writing your application, keep it clear and to the point. Avoid jargon unless it's necessary, and make sure your passion for data science and healthcare comes through. We appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at F. Hoffmann-La Roche AG
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in R or Python. Be ready to discuss your experience with statistical computing and how you've developed scalable tools in the past. This is your chance to showcase your expertise!
✨Understand the Role
Dive deep into the job description and understand what Roche is looking for in a Senior DSX Data Scientist. Familiarise yourself with terms like 'workflow automation' and 'data visualisation'. Being able to speak their language will show that you're genuinely interested.
✨Prepare for Collaboration Questions
Since this role involves working closely with cross-functional teams, think of examples where you've successfully collaborated with others. Be ready to explain how you translated user needs into technical solutions and how you handled feedback from stakeholders.
✨Show Your Passion for Innovation
Roche values innovation, so be prepared to discuss how you've contributed to or led initiatives that involved new technologies or methodologies. Share your thoughts on the evolving data science landscape in healthcare and how you can contribute to Roche's mission.