Research Fellow (Data Science/AI/Engineering)

Salary: Full time starting salary is normally in the range £35,880 to £45,163 with potential progression once in post to £47,874

Contract Type: Fixed Term contract up to December 2026

Role Summary

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 AI frameworks and the ambition to identify potential translational opportunities. The successful candidate will have extensive experience with AI tools and methods, big data analysis, statistical methodologies and machine learning.

The purpose of this role is to lead the EU-funded Hypermarker project and interact with other stakeholders across multiple departments. Candidates are expected to have a history of developing models using large data sources and methods (for example: Deep learning, GAN etc). The successful applicant will use their computational and statistical expertise to identify novel research opportunities to better understand complex diseases.

Translational medicine is at the centre of our research, with a focus on providing insights for clinical decision making and developing tools to aid patient wellbeing. The applicant will be involved in the development of these tools, such as prioritizing variants to identify drivers in the multiple diseases using the statistical methods to predict therapeutic responses. This will involve preparation of data through rigorous quality control and gold standard bioinformatics pipelines.

The position requires the ability to independently take responsibility over scientific projects, strong teamwork and communication skills, reliability, attention to detail, and effective time management.

Main Duties

• Develop clinical decision support systems with diverse clinical data sets
• Implement appropriate ML algorithms and tools for clinical support
• 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, or similar, or PhD 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 development of decision system
  • 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/functions in R/Python, especially working with libraries and packages useful for ML communities. 
• Experience working with omics data would be an advantage as well as experience with semantic technologies, FAIR and ontologies.

Informal enquiries to Dr Animesh Acharjee, email: a.archarjee@bham.ac.uk or Prof. Georgios Gkoutos, email: 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.

Valuing excellence, sustaining investment
We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working.

Closes: 03/12/2024

Advert information