Post-Doctoral Research Associate in Cancer Genomics

Manchester Source: WhatJobs

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We are seeking a motivated and collaborative individual to join our team as a post-doctoral research associate/fellow with cancer genomics research experience. This role offers an exciting opportunity to analyse genomic data and calculate prostate cancer polygenic risk scores for the GP-TEST-Pro study. This clinical study involves a multidisciplinary team of leading academics from the University of Manchester, Queen Mary University London, University College London, and the Institute for Cancer Research and the postholder will be working within a dynamic and inclusive environment.

You will be responsible for:

Receiving, securely storing and managing genomic data in line with University, NHS and study governance requirements.
Performing genotype and imputed-data quality control, including sample-level and variant-level checks, ancestry and population-structure assessment, allele harmonisation and preparation of analysis-ready datasets.
Using appropriate genetic analysis tools, such as PLINK/PLINK2 and imputation server outputs, to clean, process and analyse genomic data.
Calculating and validating a 451-SNV prostate cancer polygenic risk score, including harmonisation of variants, application of published effect sizes and assessment of score distribution.
Evaluating additional genomic markers or PRS approaches relevant to clinically significant prostate cancer detection.

About You

We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate the following:

Essential Criteria:

Have, or be about to obtain, a PhD (or equivalent) in a relevant discipline, such as genetic epidemiology, statistical genetics, bioinformatics, cancer genomics, epidemiology, data science or a related quantitative discipline
Experience in cancer genomic medicine research, including hands‑on analysis of genetic or genomic datasets
Experience cleaning, quality‑controlling and managing genotype or imputed genomic data, including pre‑ and post‑imputation quality checks
Experience calculating, validating or applying polygenic risk scores using genetic variant effect sizes and appropriate ancestry or population‑structure adjustment
Understanding of key genetic epidemiology concepts, including SNVs, alleles, imputation, linkage disequilibrium, ancestry, population structure and principal components

Desirable Criteria:

First or co‑author publications in cancer detection research
Experience with prostate cancer genetics, cancer risk prediction, diagnostic accuracy studies, calibration/discrimination or multivariable risk modelling
Experience integrating genomic data with clinical, epidemiological, biomarker or imaging data
Experience of working with PPI groups and co‑investigators
Expertise in cancer screening or early detection research

We value transferable skills and real‑world experience as much as formal qualifications.

Our benefits include:

Generous employer contribution pension
29 days annual leave plus bank holidays, along with Christmas closure
Ride to work and EV car scheme available

For more information, please see University of Manchester Benefits . You can also find information on our Flexible and Hybrid working here .

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