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

Apply Now

Computational Scientist

Entrust Resource Solutions
Leeds
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Director, Discovery Data Sciences

Machine Learning Researcher

Machine Learning Researcher

Data Scientist

Data Scientist

Data Scientist

Modelling and Simulation Scientist

Quantitative Pharmacology

Remote (UK)


This is an opportunity to join a growing consultancy business, renowned for their work across emerging biopharma companies to top-tier pharma and leading research institutes. They have a huge presence across the oncology fields in particular, with several long standing global clients. As part of their growth, they are recruiting for an experienced Modelling and Simulation Scientist who will join the Quantitative Pharmacology Team.


You will have the opportunity to work fully remote, with the option for office in Oxford! You will lead clients on their journey to success, putting into practice your expertise across various modelling techniques such as QSP, PK/PD and more. Clients will range from small to enterprise organisations with specialist research areas.


Core responsibilities

  • Deliver high quality quantitative pharmacology modelling and simulation projects
  • Analyse and interpret experimental data from preclinical and clinical studies
  • Develop, refine, or implement existing models such as PK/PD, popPK, PBPK and QSP models
  • Work directly with customers to understand scope


Core requirements

  • PhD in a subject where mathematical/statistical modelling of biology/pharmacology was conducted
  • At least 2 years’ experience providing mathematical modelling & simulations
  • Experience in R and MATLAB.
  • Experience with data science, (data manipulation, analysis, and visualisations)


Apply now by hitting 'Easy Apply' or email for further details!

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.