Senior Data Scientist

Edinburgh Innovations
Edinburgh
1 week ago
Create job alert
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

Related Jobs

View all jobs

Senior Data Scientist – Machine Learning -  Defence –Eligible for SC

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.