Industrial Placement Student CS CoE DDC Data Capability

Roche; Welwyn; On-site; GBP 20,000 - 27,000; Full time

Benefits offered by this job

13-month placement

Start July 2027

Impactful projects

Biotech team

Job summary

Roche is seeking a Data Expert, Integration & Delivery for its CoE in Welwyn. You will support data operations for discovery and research data management, work with automation and ML teams, and help design data architectures and FAIR data practices.

You will contribute to data strategies enabling AI-ready data and participate in impactful biotech projects within a collaborative Roche environment.

Qualifications

• Currently enrolled Bachelor's student with at least 2 years completed.
• Pursuing Computer Science, engineering, or scientific field.
• Strong coding and data literacy required.

Responsibilities

• Support data operations for discovery and research data management.
• Collaborate with automation, bioinformatics, and ML teams.
• Contribute to data architecture and governance efforts.
• Promote FAIR data practices and data readiness for AI/ML.

Skills

Python

R

AI/ML

Data curation

Communication

Coordination

Education

Bachelor's degree (enrolled)

CS/Engineering or sciences

Job description

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

Job Title: Data Expert, Integration & Delivery, Data Capability, DDC, Computational Sciences Center of Excellence

Location(s)

Welwyn office based

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 Opportunity

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 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 and skill and empathy for users.
• Previous coordination experience in a non-classroom setting (such as via extracurricular activities or a job).
• Contributes to culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and