Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

MSc Medical Statistics Apprenticeship

Roche
Welwyn
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Reigate...

Data Scientist

Photoplethysmography (PPG) AI Data Scientist in Health (KTP Associate) - REDEPLOYEE ONLY

Photoplethysmography (PPG) AI Data Scientist in Health (KTP Associate) - REDEPLOYEE ONLY

Staff Machine Learning Engineer

Staff Machine Learning Engineer

The Position

The Product Development Data Sciences (PDD) team in Welwyn Garden City is seeking high calibre apprentices to join our team and contribute to the development of our medicines.

As a Data Scientist at Roche Pharma, you’ll be actively shaping the future as a member of Data and Statistical Sciences (DSS) within PDD. Data Scientists at Roche are essential leaders in the field; they drive and implement a broad range of quantitative drug development strategies; they bring data to life and enable the organization to make the best possible data-driven decisions.

Successful candidates will use their data science, statistical and technical skills to contribute to the success of data science and insights generation at Roche working across a diverse molecule portfolio or key initiatives that shape our technical, business and healthcare environments.

Roche has a well-established early in career program and is committed to developing Data Scientists both professionally and personally. Roche aims to provide an impactful early in career experience creating pathways that launch careers.

Responsibilities:

As a Medical Statistics Degree Apprentice, you will combine study for a Medical Statistics MSc with practical on-the-job training. This includes providing your statistical and analytical expertise in multi-disciplinary teams alongside experienced statisticians to drive the design, conduct and analysis of clinical trials.

Examples of work you may undertake during the apprenticeship include:

Plan and conduct exploratory analysis to answer important health-related questions Quality check the work of other statisticians to ensure consistency and to inform high-quality decision making Work collaboratively in cross-functional teams to help progress and deliver our clinical trials Engage with technical and essential skills training and knowledge sharing sessions Take opportunities to be involved in wider non-project roles, such as the organization of internal meetings and development of new processes/initiatives

The MSc will be delivered by an approved provider. Further information on the high-level syllabus can be found here. The cost of the MSc, in addition to salary, will be paid by Roche.

Qualifications:

Excellent academic record, keen to continue further study College/University degree – bachelor degree or higher or equivalent education in highly numerate discipline mathematics or statistics) or relevant technical discipline Track record of effectively working in a team environment Influential and confident communicator Fluency in written and spoken English Ability to work across multiple cultures and countries Willingness to travel as required  Experience in the pharmaceutical/biotech industry and/or understanding of the end-to-end drug development lifecycle is not necessary but would be beneficial Experience in one or more programming languages R, SAS, Python) is desirable but not necessary Eligible to work full-time in the UK

Start Date: August/ September 2024

Location: Welwyn, UK 

Length of Assignment: 3 years (80% on-the-job training, 20% study)

Education Level: BSc

Preferred Qualifications: A quantitative type degree statistics, biological sciences, computer science, bioinformatics, public health. A-level Mathematics is required. No previous statistics experience necessary.

Application process:

Phase I:

Purpose - our focus on this first stage is to understand why you have applied for this role and what you will bring to the role to ensure team and personal success.

Cover letter & CV

Video interview

As part of your cover letter, Roche is keen to understand your motivation in applying for this position. You should, therefore, provide responses to the following:

Why Roche: What do you know about Roche and why do you want to work here?

Why you: If you had to choose a single example or achievement in your life, that you feel would make you suitable for this role, what would it be and why?

Your cover letter should not exceed one page.

Phase II:

Final Assessment Centre Dates: Mar/Apr 2024

Application Deadline: 22nd Feb 2024

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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.