Position Details
Institute of Cancer and Genomic Sciences
Location: University of Birmingham, Edgbaston, Birmingham UK
Full time starting salary is normally in the range £34,980 to £44,263 with potential progression once in post to £46,974
Grade: 7
Full Time, Fixed Term contract up to September 2026
Closing date: 19th May 2024
This role is also open as an internal secondment opportunity which would need to be agreed by your current line manager.
Background
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.
We are integrative analytics and AI lab lead by Dr. Animesh Acharjee working on state-of-the-art methods leveraging AI methods. The post holder will have a strong background in -omics data derived from metabolomics, transcriptomics, microbiomics etc. together with data science.
The successful candidate will have an extensive experience with big data analysis, statistical methodologies and machine learning for investigating complex diseases and should be driven by the translation of these data to addressing current biomedical challenges.
Role Summary
Fixed term for 2 years from early September 2024 offering a considerable scope for innovation in the interdisciplinary research.
The post holder will be part of the Centre for Health Data Science, a hub of collaborative expertise made up of academics and clinicians, focussed on digital epidemiology, clinical bioinformatics, learning health systems, and artificial intelligence for health. Strong links also exist with the Birmingham University Hospitals NHS Trust via the Institute of Translational Medicine.
This post will be funded by the $6.4M Wellcome Leap programme awarded to the University of Birmingham to study Dynamic Resilience. Our project, entitled Towards the trialling of geroprotective agents at scale in clinical populations: closing fundamental knowledge gaps.
The purpose of the new role is to lead Wellcome Leap WP 1c and interact with other stakeholders across multiple departments. We require applicants with a strong background working with multiple omics data types, applying statistical and machine learning techniques to identify important associations and interactions between different factors. A history of developing models using large data sources and methods (for example: Deep learning , GAN etc) , such as UK biobank or other cohorts is expected. 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. Applicants should have a PhD or equivalent experience in Health Data Science, Computer Science, Biomedical Engineering, Bioinformatics or computational Biology, including a firm grounding in analysis and integration of big data. Candidates with excellent computational and quantitative skills are encouraged to apply.
Main Duties
Person Specification
Further particulars can be found here
Informal enquiries to Dr Animesh Acharjee, email: a.acharjee@bham.ac.uk
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