Business Development Executive – AI Centre for Doctoral Training in Biomedical Innovation

The University of Edinburgh
Midlothian
1 year ago
Applications closed

Related Jobs

View all jobs

CareerStart@SAS 2026 - Customer Facing Intern – AI, Data Science & Risk Management

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

Artificial Intelligence Sales Manager

Machine Learning Engineer (Manager)

Data Science Manager

Senior Data Scientist SME & AI Architect

Position Title:Business Development Executive – AI Centre for Doctoral Training in Biomedical Innovation

Grade:EI Grade 8 (£47,472+)

Duration:Full time

 – Artificial Intelligence Centre for Doctoral Training in Biomedical Innovation

 and are seeking a Business Development Executive. The focus of this role is the development of opportunities for the UKRI funded Artificial Intelligence Centre for Doctoral Training in Biomedical Innovation (CDT) via:

industry sponsored PhDs,  partnership events and  Supporting student entrepreneurship national representation of the University’s capabilities within Biomedical Innovation. 

The post holder will also have wider engagement and be an interactive support across the University’s Artificial Intelligence community and including the Bayes Centre, Ushers and future AI initiatives.

About AI4BI CDT

The greatest challenge to realising the potential of Artificial Intelligence (AI) is translation of AI research into real-world use. AI4BI aims to address this challenge by training interdisciplinary researchers who would possess the technical skills, biomedical domain knowledge, and experience developing and implementing innovative AI approaches in the private and public sectors. The Centre is funded by UKRI for 8 years (2024-2032) to train five interdisciplinary cohorts of PhD students.

Applications of Biomedical AI span:

Genomic Medicine Biomedical & Health Informatics Cellular and Molecular Systems Medicine Biomedical Imaging

The School of Informatics and the University of Edinburgh have a long and prestigious history in both artificial intelligence and health science. We have a concentration of research across AI applications such as natural language, vision, robotics, and medicine. Developing and deploying new AI tools that accelerate and enhance the productivity of engineering research and development. This role will uniquely bridge the Colleges of Science & Engineering and Medicine & Veterinary Medicine.

Role Focus

The post holder is expected to be visible, have a passion for engagement and above all, driven to see our Biomedical AI research aspirations become a reality. Below are some of the core focus areas of the role.

Partnership strategy: Develop and implement partnership strategy to enhance partnership and identify new collaborators in focus areas. Industry Engagement: Secure research projects for PhD cohort year on year. Build on existing relationship by managing key industry partnerships.CDT Outreach & Promotion: Represent the CDT at events and conferencesCommercialisation:Support development research commercialisation via licensing and company formation/entrepreneurship.

Role Description:

Further details can be accessed via the link below

Requirements:

Essential:

Degree or Tertiary level qualification in relevant scientific area or proven career experience in  Track record in proactive opportunity generation leading to increased revenue Demonstrable knowledge of research and applications within computer science, computational biology, bioinformatics, engineering. Business Development and/or commercial experience, ideally in both industry and academic organisations in the relevant sectors Experience of working collaboratively with cross-functional teams to manage projects and deliver commercial outcomes Experience in reviewing and negotiating contracts and managing projects Account and client relationship management experience Highly developed communication skills, both written and verbal

Desirable:

PhD qualified in computer science, computational biology, bioinformatics, or engineering  Experience of Higher Education sector and understanding of universities as complex public-sector organisations Experience of working in knowledge exchange and commercialisation Excellent influencing skills and ability to network with both academia and industry  Knowledge and experience of intellectual property protection and exploitation

Working Dynamic

The post-holder will report Head of Business Development for the College of Sciences an Engineering with dotted line responsibility to the CDT Director and will work closely with the CDT Manager. The role will sit within Edinburgh Innovations, the School of Informatics, the Colleges of Science & Engineering and Medicine & Veterinary Medicine.

Benefits

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

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.