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

Apply Now

Regulatory Intel Manager

Proclinical
Uxbridge
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Artificial Intelligence Engineer

Artificial Intelligence Engineer

AI and Machine Learning Lead – FinTech SaaS

Connections Data Scientist

Principal Data Scientist - Financial Services - London/Flexible

Proclinical is looking for a Regulatory Intelligence Manager to support the Director of Regulatory Intelligence at a biotech company. This is a contract position. This role focuses on global monitoring and surveillance activities throughout the drug development lifecycle. You will be responsible for implementing and managing Regulatory Affairs software, handling high-priority regulatory projects, and influencing policy and regulatory decision-making processes.

Responsibilities:

Monitor and conduct surveillance activities on a global scale for the full drug development lifecycle. Implement and manage Regulatory Affairs software for reviewing agency guidance and documentation. Manage high-priority regulatory projects, including Artificial Intelligence, submission management, and new industry guidelines. Use Veeva Vault for eCTD submission document upload and consolidation of submission dossiers for regional and global filing. Understand the regulatory framework of ongoing procedures and applications in regional and global markets. Gather and provide effective MAA & CTA information from various agencies globally. Lead the collection, formatting, maintenance, and distribution of regulatory intelligence data and content. Build and maintain the Regulatory Intel SharePoint Site for report distribution. Maintain project plans and assigned responsibilities within the Regulatory Intel group. Arrange and lead cross-functional team meetings to ensure alignment and efficiency.

Key Skills and Requirements:

Proficiency in managing regulatory projects and software. Experience with Veeva Vault for eCTD submissions. Strong understanding of global regulatory frameworks and procedures. Ability to gather and analyze regulatory intelligence data. Excellent project management and organizational skills. Effective communication and leadership abilities.

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.