National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist

Edinburgh Innovations
Edinburgh
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Description

Grade UE08: 49559 to 60907 per annum

CSE/School of Informatics

Fulltime: 35 hours per week

Fixed term: 24 months

The School of Informatics University of Edinburgh invites applications for aSenior Biomedical Data Scientistto support our newly establishedBiomedical Data Intelligence Hub.

The Opportunity:

TheBiomedical Data Intelligence Hubwill support our breadth of research in Artificial Intelligence (AI) for quantitative biology and biomedicine. The Hub will operate as a research and training support unit in partnership with theUKRI Centre for Doctoral Training in Biomedical AI which currently funds over 40 doctoral students working in medical informatics biotechnology drug discovery medical imaging and signal Hub is designed to augment and catalyse the Centres ongoing projects with advanced data science skills and compute capabilities.

In this role you will lead the development of data solutions as part of team of Data Scientists and a Software Engineer using a combination of AI Machine Learning and other data science techniques with dedicated access to our new GPU server with stateoftheart compute. A key responsibility will be tohelpmanage coordinate and prioritise Hub activities and resources across a breadth of projects in close collaboration with the Centre founding member of the Hub you will have ample space for shaping its direction and strategy.

We are particularly interested in candidates with data science teamwork experience from academia or industry who:

  • Have handson experience using a range of computational techniques to meaningful outcomes.
  • Wish to apply and grow their leadership skills in abrandnew team focused on AI solutions with cuttingedge biological data modalities.
  • Enjoys transforming highlevel scientific goals into precise AIdriven research questions and methodologies.
  • Can offer guidance and leadership to colleagues fostering a collaborative inclusive and supportive environment.
  • Cares deeply about welldesigned models algorithms and data pipelines.

The Hub will work on a range of goalorientated projects with diverse data sources and requirements specified by project owners and with close interactions with the School of Informatics the School of Biological Sciences the Institute for Genetics and Cancer the Usher Institute for public health and the NHS. Projects can involve various data modalities includingcellular and genomic data medical imaging data neural data healthcare and patient record data and molecular/structural data.

The Data Intelligence Hub will be located at the School of Informatics widely recognized as one of the birthplaces of AI and home to some of the latest developments in the field. The role offers multiple opportunities for networking and skills development for example through cocreation of research projects or engaging with multistakeholder initiatives across the university and beyond. Edinburgh is an exciting European capital with excellent quality of life and a thriving science arts and cultural scene as well as access to beautiful natural landscapes.

For informal inquiries please email the Centre Director (Diego Oyarznincluding a brief statement of interests and CV.

Please include the following documents in your application:

  • CV
  • Cover letter

This is a fixed term contract available for 24 months (funding ends 30th September 2027.

Your skills and attributes for success:

  1. Degreeina relevant field(e.g. mathematics data science artificial intelligence statistics biomedical/biological sciences).
  2. Experience in a role involvingdatascience including managingstructuring visualizinganalysing data and building statistical or machine learning tools.
  3. Experience leading a team coordinating others and managing several research projects simultaneously.
  4. Fluency in one or more data science programming languages (R Python with NumPy/pandas etc Julia) with experience in writing documentation.
  5. Excellent written and verbal communication skills particularly with wider stakeholders and across disciplines.
  6. Proven time management skills across competing tasks requiring rapid context switching.

Click to view a copy of the fulljob description

As a valued member of our team you can expect:

Championing equality diversity and inclusion:

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions actively promoting LGBT equality.

Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on ourright to work webpages(opens new browser tab).

The University is able to sponsor the employment of international workers in this role. If successful an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Offices English Language requirements and apply for and secure a Skilled Worker Visa

Key dates to note:

The closing date for applications is7 May 2025.

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.




Required Experience:

Senior IC


Key Skills
Laboratory Experience,Mammalian Cell Culture,Biochemistry,Assays,Protein Purification,Research Experience,Next Generation Sequencing,Research & Development,cGMP,Cell Culture,Molecular Biology,Flow Cytometry
Employment Type :Full-Time
Experience:years
Vacancy:1
Yearly Salary Salary:49559 - 60907

National AI Awards 2025

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 Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.