|Newcastle upon Tyne
|£39,347 to £44,262 per annum
|Full Time, Part Time
|6th December 2023
|13th January 2024
ABOUT THE ROLE
We are seeking to appoint a highly committed, motivated, and creative scientist to join the Northumbria University bioinformatics research group. The research will develop new data science methods that leverage the large amounts of public data from UKBiobank, dbGAP, and internal Whole Sequence data and use state-of-the-art AI/ML technologies, such as transfer learning, LASSO regression penalty, logistic regression classifier model, supervised mixture elliptical copula model combining them with Bayesian hierarchical.
The role holder will deliver an integrative 3-step Predictive framework (into a web application): you will firstly model Polygenic risk Scores (PRS) according to individuals’ heritable risk, population genetics, environment-modified, and ancestry-specific components of risk in a Bayesian hierarchical model using priors defined by LASSO regression penalty functions. Secondly, you will refine the Disease Risk Prediction according to the computed individuals’ PRS, clinical parameters, family history of the disease, genetic ancestry, lifestyle, and socio-demographics in a logistic regression classifier model. Thirdly, you will model a supervised mixture elliptical copula model to stratify individuals into optimal groups according to the predicted risk.
The researcher will evaluate the portability and transferability of the developed Predictive framework by leveraging large Genome-wide Association Studies (GWAS) data of prostate cancer, Cardiometabolic traits from UKBiobank, dbGAP, as well as joint replacement patient data. The developed predictive framework will be deployed into a web application linked to Cloud Computing resources. The researcher will closely work with Prof. Emile R. Chimusa.
Further information is available in the job description.
This role is fixed term for 36 months until November 2026.
ABOUT THE TEAM
The role-holder will be based at Northumbria University, City Campus, Newcastle Upon Tyne, Faculty of Health and Life Sciences, Department of Applied Science. You will closely work with the Principal Investigator (Professor Emile R. Chimusa). Travelling and attending subject specialist meetings and national/international conferences will be required. The nature of the post is such that the role-holder is expected to work and attend at the University’s premises such hours as are reasonably necessary for the effective discharge of the duties of the role, within a normal working week of 37 hours. The department has strength in life science research, state-of-the-art multi-omics laboratories that generate data-intensive biological resources, and a strong track record of public and industrial funding (https://www.northumbria.ac.uk/about-us/academic-departments/applied-sciences/).
To be successful in the role you will have:
Further information is available in the person specification
If you would like an informal discussion about the role, please contact ‘firstname.lastname@example.org’.
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