At a Glance
- Tasks: Support data operations and automation solutions in drug discovery and research.
- Company: Join Roche, a leader in biotechnology with a culture of innovation and inclusivity.
- Benefits: Paid placement, hands-on experience, and the chance to work on impactful projects.
- Other info: 13-month full-time placement starting July 2027 with excellent career growth opportunities.
- Why this job: Make a difference in healthcare by leveraging AI and data in drug development.
- Qualifications: Studying Computer Science or related fields with coding experience in R or Python.
The predicted salary is between 63000 - 77000 £ 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.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
Within the CoE organisation, the Data and Digital Catalyst organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.
The Data Expert, Integration & Delivery is responsible for the support of the data operations for discovery and research data management and automation solutions. This role serves as a team member to support data management, solution architecture and cloud implementation needs of the department. Work closely with the Automation teams, bioinformatics, and machine learning scientists to facilitate data ingestion, acquisition, and storage. Contributes to technical/functional initiatives related to modernization of data management and curation solutions. Contributes to the design of solutions that modernize and improve the efficiency of FAIR data management and curation processes, providing business impact. Is proficient in at least one scientific or data domain, and is able to provide support to initiatives based on that knowledge. Provide data management support for integrated systems. Contribute to and deliver Data architecture vision and standards in conjunction with data users, engineering capabilities and key stakeholders. Fosters a OneRoche data-centric mindset within the team, advocating for data standards, governance, and FAIR principles. Contributes to data strategies that ensure data is ready for AI/ML (AI data readiness). Contributes to tactical efforts that enable data quality tracking and policy compliance.
Program Highlights:
- 13 months at full time (37.5 hours per week) paid placement.
- Program start date is 1st July 2027.
- Contribution to challenging and impactful business projects.
- Work with some of the most talented people in the biotechnology industry.
Who You Are:
Required Education - You meet one of the following criteria:
- Currently enrolled in a Bachelor’s degree and have completed 2 years of course at start of the placement.
- Degree courses of interest include: Computer science, or related engineering field, or scientific domains.
Required Skills and Qualifications:
- Experience in coding, such as R or Python development.
- Experience in AI/ML usage.
- Experience with scientific data curation or computational methods and good data literacy.
- Excellent written communication skills, verbal communication/presentation skills, interpersonal skills and empathy for users.
- Previous coordination experience in a non-classroom setting (such as via extracurricular activities or a job).
- Complements our culture and the standards that guide our daily behaviour & decisions: Integrity, Courage, and Passion.
Application Process:
Submit your application including your Curriculum Vitae and cover letter with responses to the following:
- Can you describe a time you performed data curation and the reason why? Please detail: the method, tools and/or programming languages you used, if you had to scale-up the process - what you would do differently, whether AI tools played a role in your process, and the key takeaways from the experience.
- Explain how you see this placement aligning with your personal, educational and career goals. Your cover letter should not exceed one page with double-spaced lines, and must reference the role you are applying for.
Purpose - our focus in the first and second stage is to understand why you have applied for this role and what you will bring to the role to ensure team and personal success. We want to learn more about you.
Phase I: CV and Cover Letter review
Phase II: Video interview
If successful at the Video interview, you will be invited to the final stage of the application process.
Phase III: Final Assessment Center at Roche UK head office (Welwyn Garden City, Hertfordshire). Expected date December 2026. This final stage will include a face-to-face interview, and relevant activities critical for the role, giving you a taste of Roche and the opportunity.
Unfortunately, visa sponsorship is not available for this role. Candidates must already hold valid authorisation to work in the UK.
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.
Industrial Placement Student - Data Expert, Integration & Delivery, DataCapability, DDC, Computatio in Welwyn Garden City employer: Roche
At Roche, we pride ourselves on fostering a culture that values individuality and encourages personal growth. As a Field Service Engineer in the North Region, you will not only contribute to life-saving healthcare solutions but also benefit from a supportive work environment that promotes open dialogue and collaboration. With opportunities for continuous development and a commitment to diversity, Roche is an exceptional employer dedicated to creating a healthier future for all.
StudySmarter Expert Advice🤫
We think this is how you could land Industrial Placement Student - Data Expert, Integration & Delivery, DataCapability, DDC, Computatio in Welwyn Garden City
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at Roche.
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like Roche a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like Roche.
We think you need these skills to ace Industrial Placement Student - Data Expert, Integration & Delivery, DataCapability, DDC, Computatio in Welwyn Garden City
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at Roche
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to Roche. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join Roche specifically. Let your motivation shine through!