Industry placement | Research Operations & Programme Management
Listed on 2025-12-11
-
IT/Tech
Data Science Manager, Data Analyst -
Research/Development
Year in industry placement | Research Operations & Programme Management
Join to apply for the Year in industry placement | Research Operations & Programme Management role at Immunocore
Location: Oxford, UK
Department: Research Management
Key ResponsibilitiesThe Research department has a key role in the ongoing success story for Immunocore, with a mission to ensure the sustained delivery of drug candidates based on strong science that have high potential for addressing the unmet medical needs of patients with cancer, autoimmune and chronic infectious diseases.
Research at Immunocore is highly dynamic, pivoting rapidly as new data emerges. The roles of both Research Operations and Programme Management are to support scientists working within the organisation to stay focused, deliver impactful science and remain productive in the face of these rapidly changing requirements.
The placement aims to deliver improvements in research productivity and operational effectiveness by:
- Implementing targeted process enhancements in project management and data analysis
- Developing and piloting new tools for tracking research metrics and project outcomes
- Facilitating cross‑functional collaboration to accelerate decision‑making and remove operational bottlenecks.
Key responsibilities may include:
- Supporting preparation and delivery of leadership team strategy offsites
- Gathering & analysing competitive benchmark data on comparable organisations to inform strategic decisions
- Providing functional SCRUM master support for functional teams e.g. Proteomics
- Providing project management support for Research programmes
- Leading the design, implementation and maintenance of a Research programme database
- Creating and analysing Research productivity dashboards to visualise research productivity across key metrics
- Design, implementation and management of a resource allocation tracking tool
- Assessing whether agile tools and principles can be applied to improve productivity in biotech research to enhance team collaboration and individual productivity
- Participating as a core team member on non‑molecular projects of strategic importance including programme management, and performing supplier/ competitor reviews
- Supporting key aspects of our biosample management operating model design & implementation
We are looking for a dynamic undergraduate in a scientific discipline, studying towards a degree with a sandwich year (and therefore not yet graduated at the start of this placement) who is eager to apply their knowledge beyond the lab and bring fresh perspectives to our team.
What You Will ReceiveThis placement will give you the opportunity to gain an understanding into how a successful Research organisation functions, including how it blends scientific innovation with good business practice and operational strategy to continue to advance cutting‑edge science that will benefit patients.
Key skills developed will include project management, data analysis, stakeholder engagement, and effective communication.
The role will equip you with an understanding of the inner workings of an industry‑leading research organisation, including opportunities to:
- Review and synthesise complex topics
- Communicate findings via presentations, seminars, and posters to large audiences
- Engage with all groups across Research
- Facilitate working sessions to drive improvement initiatives
- Plan, deliver, and present meetings to diverse teams
- Track and follow up on project activities
- Analyse qualitative and quantitative datasets.
Tools in which you will strengthen your working knowledge include:
- MS Office applications including Excel (basic data handling & analysis), Visio (process mapping), PowerPoint (structuring and communicating information)
- Work management and productivity tools such as Trello and Smart Sheets
- Depending on candidate, there is the opportunity to gain experience with more advanced data analysis coding and visualisation tools such as SQL, Python, Power BI.
The placement provides a strong foundation for future roles in research operations, programme management, or related fields.
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