Biostatistics PhD Summer Internship

Roche
Welwyn
2 years ago
Applications closed

Related Jobs

View all jobs

Lead Clinical Data Science Programmer

The Position

Roche Welwyn Data Science is delighted to announce the opening of its 7th intern scheme for Statistics/Mathematics/Epidemiology PhD students within the UK for summer 2024. 

Our biostatistics summer interns will work for 10 weeks at our Roche Welwyn site under the supervision of experienced data scientists and will receive a competitive salary. Interns will work on theoretical or applied problems with direct relevance to Roche’s ongoing clinical drug-development in areas such as oncology, immunology, infectious disease, ophthalmology, or neuroscience.

There will be opportunities to interact with Roche’s global network of over 600 statisticians/data scientists. As well as engaging in an exciting research topic, interns will have the opportunity to experience first-hand the work of statisticians/data scientists within the pharmaceutical industry, and how they add value to clinical development plans. Interns will learn both new technical and non-technical skills highly relevant for their future careers. At the end of the internship, students will give a department-wide presentation on their research topic.

Testimonials:

Hannah, University of Liverpool: "I was very lucky to be able to spend a summer working at Roche. I worked on a project which I felt was of real interest and importance to my supervisors, and was provided the support and time to learn about neuroimmunology, an area that is new to me. Along the way I learned valuable statistical principles from experts that will influence my approach in future PhD research and beyond. Data scientists at Roche were open and welcoming, and I was very grateful to gain genuine insights into their essential role." 

Maite, King’s College University: "My internship in Data Sciences at Roche was a very meaningful experience. Not only did I acquire new statistical techniques, but, more importantly, I gained an understanding of the drug development lifecycle and the overall process of R&D in the pharmaceutical industry. The working culture at Roche was incredibly nurturing and supportive, and I had the pleasure of building connections with a diverse group of data scientists."

Requirements:

Applicants must currently be on a PhD program within the UK in the areas of Statistics/Mathematics/Epidemiology and should be available for a face to face interview on the 2nd February 2024. They should also have a valid visa that allows them to work in the UK. Applicants may undertake the internship part time while carrying out their PhD. Authorization of the university is essential for a part time internship.

Application process:

To apply for this exciting opportunity please submit your CV with a covering letter outlining what PhD course you are currently taking and why you are interested in this program. Experience within the fields of medical statistics or health data is highly valued. Please also describe any skills or experience you have to the role, and if you are eligible for working in the UK. 

Closing date: 31 December 2023

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.