Data Science Industrial Placement - Multiple roles within Biostats, Data Management, Real-World Data and more
Pharma
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 Who We Are At Roche, 97,000 people across 150 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity. Our UK Pharmaceutical head office, one of our primary global offices, is situated in Welwyn Garden City, Hertfordshire and is surrounded by beautiful countryside. Supported by major motorways and airports, as well as being a 25-minute train ride to central London, access is easy. With over 1800 people occupying our site in Welwyn, you can expect interactions with Product Development (PD), Early Development (pRED), Commercial (Rx) and our corporate function. The extensive overlap and interaction with other functions means Roche provides an unmatched experience as well as ample networking opportunities. Degree Requirements You must be studying for an undergraduate or integrated masters degree, and be eligible to work in the UK. The Department The Product Development Data Sciences and Analytics (PDD) department in Roche's Pharmaceutical Division focuses on three core areas: identifying evidence needed in bringing our drugs to market, making high-quality data accessible and generating insights through data analysis. This involves leveraging diverse datasets from clinical trials, real-world evidence and digital sources to understand patient pathways, disease progression and patient outcomes. Data science has become essential for extracting meaningful insights from the growing variety and complexity of data enabled by advances in digital technology. In biopharma, each data point represents part of a patient’s journey, contributing to the understanding of disease and the development of better medicines. Maximizing the potential of this data allows for groundbreaking analyses and insights. The PDD Department in Welwyn Garden City is seeking 10 industrial placement students starting in July 2027 for 13 months to support the advancement of medicines. Successful candidates will be evaluated for one of multiple roles across the department, each requiring a diverse range of skills. For further information about all of the available roles please see further down in the ad. Candidates will be considered for all roles but please indicate in your cover letter your preferred roles. If you're passionate about making a difference in patients' lives and possess the teamwork and innovation we're looking for, Roche could be the perfect fit for you. In return, we provide a competitive salary and excellent benefits, including a genuine interest in your career development and progression. Applicants must be able to attend an in-person assessment centre on either 25th or 26th November 2026 at Roche's UK office in Welwyn Garden City. Recruitment process: Phase I: Submission of Cover Letter (including preferred roles) & CV: Evaluation of skills and motivations. Phase II: Online video Interview: Assessment of motivation and passion. Phase III: In person Final Assessment Centre: This will involve a full day of interviews, group tasks and a technical aptitude test. We’ll be looking at what motivates you and how you work with others, and assessing your technical aptitude (for those roles which have a technical component). There is also time set aside for building tours and conversations with PDD members of staff. For example, you will be able to get to know PDD members of staff and ask questions on the job and the job environment. If you are interested in any of these positions and fulfil the degree requirements please submit your CV & covering letter (including preferred roles) by the application process deadline: Sunday 1st November 2026. Please note: Unfortunately visa sponsorship is not available for this role. Candidates must already hold valid authorisation to work in the UK. The Roles Data Management Data Management involves the collection, cleaning & storing of clinical trial data, utilizing a variety of industry and/or inhouse products and tools. Data Management safeguards data integrity, ensuring patient safety and the quality of data used to support decision-making in drug development. We are offering positions in 3 areas within Data Management: Role: Data Quality Lead DQLs oversee the quality, integrity, and availability of clinical trial data, ensuring it is fit for purpose and ready for analysis by our statisticians. Working with multiple functions, DQLs manage the design and implementation of the study database, and oversee data collection and data cleaning strategies. As a DQL, you will be a key member of the clinical study team, and your day to day work will be divided between data and people - solving novel data problems, but also learning to lead & influence others. Who You Are Pursuing a degree in Data Science, Life Sciences, or a related field Strong attention to detail and organizational skills and can adhere to compliance guardrails and departmental procedures. Demonstrate critical thinking and a willingness to learn. An effective communicator, able to work collaboratively and learn to influence others in both technical and non-technical roles. Role: Technical Excellence Specialist Technical Excellence acts as the key link between the clinical data management team and technical Informatics (IT) colleagues. Rather than working directly on clinical trials, the focus is on understanding user needs and helping to shape the tools, products, and processes that streamline daily work. This role involves listening to business challenges, gathering user feedback, and translating ideas into technical solutions. Who you are Pursuing a degree in Data Science, Life Sciences, Bioinformatics, Computer Science or a related field Strong communication skills, with the capability to bridge technical and non-technical teams effectively Interest in or ability to use digital tools for project/code management (e.g. Github, Jira) and in basic programming (e.g. simple Python or R) Ability to manage time and keep projects on track. A logical mindset for identifying process improvements and developing practical solutions to everyday problems.
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