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

Apply Now

Lead Clinical Scientist

Oxford
8 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist | Health

Data Scientist

Data Scientist

Data Scientist

Director of AI Optimization and Productization - R&D Data Science & Digital Health

Head of Data Science (34932) -

CK Group are looking for a Lead Clinical Scientist, to join a well-funded Immunology biotech, who are preparing for their lead candidate to start clinical trials.

This will be a hybrid role, requiring you to be on-site in Oxford at least once a week.

RESPONSIBILITIES:

As Lead Clinical Scientist you will play a lead role in the design, execution and scientific management of clinical trials for a portfolio of Autoimmune treatments.

Key duties will include:

Leading the development of clinical trial synopses, clinical protocols and other key clinical trial documents.
Leading the development of biomarker strategy and implementation of plans to support early clinical development endpoints.
Development of strong relationships with KOLs and investigational centres in order to facilitate strong scientific engagement with the company’s clinical programs.
Contribution to the development and review of regulatory submissions and interaction with Regulatory Authorities.
Oversight of the review of study data in collaboration with biostatisticians and data scientists.
QUALIFICATIONS:

As Director, Clinical Science you will require:

A relevant PhD.
Extensive experience of the design and oversight of early phase Autoimmune studies.
An in-depth knowledge of relevant regulatory requirements and experience of working with Regulatory Authorities.
Excellent communication and interpersonal skills, with the ability to work effectively in multi-disciplinary teams.
BENEFITS:

Excellent salary plus benefits.

Apply:

It is essential that applicants hold entitlement to work in the UK. Please quote job reference (Apply online only) in all correspondence.

If this position isn't suitable but you are looking for a new role, or if you are interested in seeing what opportunities are out there, head over to our LinkedIn page (cka-group) and follow us to see our latest jobs and company news

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.