- Develop integrative strategies for a diverse set of omics data (metabolomics, transcriptomics, microbiomics etc.), 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.
- PhD (or near to completion) in health data science, computer science, artificial intelligence, computational biology, bioinformatics, 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 both biomedicine and bio
- Innovate and develop ideas into grant
- Learn and keep abreast of latest technological, methodological and software
- Write concise and timely scientific papers and
- Plan and prioritise work effectively to meet
- 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.
- Proven and extensive experience with pipelines across multiple data types, such as RNA sequencing or Single Cell RNA sequencing.
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Research Fellow in Integrative Omics Data Analytics - Birmingham, United Kingdom - University of Birmingham
Description
Salary: 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
Contract Type: Fixed Term contract up to September 2026
Closes: 21st May 2024
Fixed term for 2 years from early September 2024, 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. This post will be funded by the $6.4M Wellcome Leap programme awarded to the University of Birmingham to study Dynamic Resilience. The purpose of the new role is to lead Wellcome Leap WP 1c and interact with other stakeholders across multiple departments.
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.
Main Duties:
Skills and Knowledge:
Informal enquiries to Dr Animesh Acharjee, email:
To download the full job description and details of this position and submit an electronic application online please click on the above 'Apply' button.
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.
£34,980 to £44,263. Grade 7
