Research Fellow in Data Analytics

Salary: Full time starting salary is normally in the range £34,980 to £44,263 with potential progression once in post to £46,974

Contract Type: Fixed Term contract up to December 2026

Role Summary

Fixed term until December 2026 offering a considerable scope for innovation in the interdisciplinary research.

This is an exciting and unique opportunity for an ambitious PhD graduate or post-doctoral data scientist with the ability and confidence to lead the development and implementation of multi-omics frameworks and the ambition to identify potential translational opportunities.

The purpose of this role is to lead the EU-funded Hypermarker project and interact with other stakeholders across multiple departments. The key objective of the Hypermarker project is to use AI and deep-learning techniques to develop a decision support tool for predicting treatment response to the different antihypertensive drugs. This will enable clinicians to make informed decisions on the best drug intervention for individual patients under personalized medicine avenue.

Candidates are expected to have a history of developing models using large data sources and methods (for example: Deep learning, GAN etc), such as UK biobank or other cohorts. The successful applicant will use their computational and statistical expertise to identify novel research opportunities to better understand complex diseases.

Main Duties:

• Develop integrative strategies for a diverse set of omics data (metabolomics), integrating the outcomes to investigate complex disease in a multi-omics framework
• Apply statistical and machine learning and deep learning algorithms to diverse data of different multi omics data sets and quality to identifying associations and causal relationships driving diseases.
• Manage and analyse large datasets for analysis using efficient data structures and providing infrastructure for sharing resources.
• Drive novel applications and take responsibility over large and diverse projects.
• Develop research objectives and proposals for own or joint research, with assistance of a mentor if required.
• Apply knowledge in a way which develops new intellectual understanding. For example, Deep learning-based methods, GAN, generative AI etc.

Person Specification

• PhD (or near to completion) in health data science, computer science, artificial intelligence, computational biology, bioinformatics, or similar, or PhD (or near to completion) in a healthcare area with a substantial omics component in their work. Candidates with excellent ML/AI, computational and quantitative skills are encouraged to apply.
• Ability to:
  • Demonstrate an understanding of both biomedicine and bioinformatics.
  • Innovate and develop ideas into grant proposals.
  • Learn and keep abreast of latest technological, methodological and software developments.
  • Write concise and timely scientific papers and reports.
  • Plan and prioritise work effectively to meet deadlines.
• Expertise Scripts in R/Python, especially working with libraries and packages useful for bioinformatics such as the Bioconductor package. 
• Extensive experience working with omics data and large datasets.
• Ability to interact with academic and industry partners and explain complex ideas to non-scientists in a comprehensible way.
• Experience in High Performance Computing facilities and linux systems.

Informal enquiries to Dr Animesh Acharjee, a.acharjee@bham.ac.uk and Prof. Georgios Gkoutos, g.gkoutos@bham.ac.uk  

To download the full job description and details of this position and submit an electronic application online please click on the Apply button above.

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