University Intern - Real World Evidence (RWE) (Winnersh, United Kingdom, Aberdeen City)

Number of opportunities: 1

Salary: £26,000 (Not flexible)  

Closing date: 26/10/2026

This is a 12-month paid internship starting September 2027. The role is head office based requiring a minimum of 2 days a week to be worked from our office in Winnersh.

INTRODUCING THE OPPORTUNITY 

This role focuses on Real World Evidence (RWE). RWE is the study of patient data gathered in real world settings, such as during regular healthcare visits and at home. We use data sources like electronic health records and wearable technology to understand how well medicines work in real-life situations, not just in clinical trials.

WHAT YOU WILL DO

Support protocol and study design development: Assist in drafting or reviewing components of RWE study protocols, including objectives, endpoints, data sources, and methodology sections, under the guidance of study leads.

Deep research into Innovative RWE topics

Conduct structured research into cutting-edge RWE topics, including artificial intelligence applications, regulatory and HTA acceptance of RWE, wearable technologies, and tracking global evidence trends.

Summarise findings and present insights in an impactful way internal stakeholders to inform strategic planning for the RWE group and beyond.

Ensuring high-quality RWE through project governance and delivery support

Assist the RWE Programme and Governance Lead in managing timelines and milestones across active RWE projects. Coordinate RWE protocol reviews, prepare meeting documentation, and support governance processes to ensure timely and compliant project execution.

Assist the RWE Programme and Governance Lead in identifying opportunities for optimisation in RWE processes and proposing potential solutions to accelerate research.

Real World Data and evidence landscape exploration

Support the identification and assessment of new real-world data sources (e.g. registries, claims databases, digital health platforms) relevant to priority therapy areas. Contribute to internal mapping and evaluation exercises to expand the organisation’s data ecosystem.

Support the selection and use of suitable platform for creating an inventory of relevant UKIE real-world data sources for internal use.

Support the selection and use of suitable platform for creating an inventory of studies supporting priority therapeutic areas.

Technical engagement and event coordination

Lead or assist in the planning and delivery of RWE-focused activities such as journal clubs, internal educational events, and technical workshops. Prepare agendas, coordinate logistics, and support content development to promote knowledge sharing and cross-functional engagement.

WHAT YOU WILL GAIN

Meaningful work on cutting-edge RWE research, helping generate evidence that will inform decisions by important stakeholders, such as health technology authorities, regulators, care providers, and patients.

Opportunity to understand the role of RWE in the product life cycle and how it can support key business objectives.

Learn how regulated RWE operates, whilst building practical and desirable skills for employment.

WHAT YOU CAN EXPECT FROM A BOEHRINGER INGELHEIM INTERNSHIP

Meaningful work and real responsibilities from the start, with opportunities to contribute to projects that matter.

Joining with a large cohort of exceptional students, you will receive a clear placement plan setting out key projects, milestones and your learning goals for the year.

Support from your manager, your team and HR, with regular feedback and development conversations.

Learning opportunities beyond the role, including workshops, networking, career insights and exposure to different parts of the business.

Access to coaching, mentoring and online learning resources, including  Boehringer’s virtual University.

The opportunity to build professional confidence, workplace skills and a network across the organisation.

ESSENTIAL REQUIREMENTS 

Currently studying for a Bachelor’s degree (or equivalent) in Life Sciences and completing a placement year as part of the course.

A minimum of three A levels at grades ABB, or equivalent; at least one STEM or social-science subject desirable.

The right to work in the UK for the full duration of the internship.

The ability to travel independently to the usual place of work and, where required, to other sites.

Comfortable with Microsoft 365; intermediate Excel skills; Excellent PowerPoint skills.

Excellent written and verbal communication; able to translate data into clear stories and next best actions.

Organised self-starter, able to juggle multiple tasks and meet deadlines with strong attention to detail.

DESIRABLE REQUIREMENTS

Familiarity with RWD/RWE and observational non-interventional research

Familiarity with one or more analytical or visualisation tools, such as SQL, R, SAS, Power BI or Tableau, and experience using reference-management software.

SKILLS AND BEHAVIOURS

Communicates clearly and professionally in writing and conversation.

Works collaboratively, builds positive relationships and contributes own ideas proactively.

Organises tasks, manages time and meets agreed deadlines.

Takes ownership of learning, asks questions and responds positively to feedback.

Adapts to changing priorities and approaches work with curiosity and initiative.

Uses AI appropriately to deliver work. Confident with Microsoft Office and is willing to learn new systems and technology.

Acts professionally and follows relevant policies, procedures, legal obligations and health, safety and environmental requirements.

WHY THIS IS A GREAT PLACE TO WORK  

Boehringer Ingelheim has been recognised as a Top Employer in the UK. Being certified as a Top Employer confirms our dedication to a better world of work, delivered through excellent HR policies and people practices. To learn more visit: https://www.boehringer-ingelheim.co.uk/careers/uk-careers/why-great-place-work

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