Industrial Placement Student CS CoE DDC Data Capability

The Computational Sciences Center of Excellence

Advances in AI, data, and computational sciences are transforming drug discovery and development. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group aiming to harness the transformative power of data and Artificial Intelligence (AI) to assist scientists in accelerating the delivery of innovative medicines.

Within the CoE, 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.

The Opportunity

The Data Expert, Integration & Delivery role supports 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.

Key Responsibilities:

• Work closely with Automation teams, bioinformatics, and machine learning scientists to facilitate data ingestion, acquisition, and storage.
• Contribute to technical/functional initiatives related to the modernisation of data management and curation solutions.
• Contribute to the design of solutions that modernise and improve the efficiency of FAIR data management and curation processes.
• Provide support to initiatives based on knowledge in at least one scientific or data domain.
• 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.
• Advocate for data standards, governance, and FAIR principles.
• Contribute to data strategies that ensure data is ready for AI/ML.
• Contribute 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:

• Currently enrolled in a Bachelor’s degree and have completed 2 years of course at the 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 behavior & decisions: Integrity, Courage, and Passion.

Application Process:

Submit your application including your Curriculum Vitae and cover letter with responses to the following:

• Data Curation Experience: Describe a time you performed data curation, including the method, tools, and/or programming languages used. Detail any scale-up considerations, the role of AI tools, and key takeaways.
• Placement Alignment: Explain how this placement aligns 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.

Application submission deadline: Friday 30th October 2026

Phase I: CV and Cover Letter review

Phase II: Video interview

Phase III: Final Assessment Center at Roche UK head office (Welwyn Garden City, Hertfordshire). Expected date December 2026. This will include a face-to-face interview and relevant activities.

Important Note: Visa sponsorship is not available for this role. Candidates must already hold valid authorisation to work in the UK.