Post-Doctoral Research Associate in Cancer Genomics (Cancer Genomics)

Location: Oxford Road, Manchester, United Kingdom. Applicants must demonstrate the right to work in the UK; this role is not eligible for Skilled Worker visa sponsorship.

Company

hirify.global research role contributing to the multidisciplinary GP-TEST-Pro prostate cancer clinical study.

What you will do

• Receive, securely store, and manage genomic data according to University, NHS, and study governance requirements.
• Perform genotype and imputed-data quality control, including sample- and variant-level checks, ancestry assessment, allele harmonisation, and preparation of analysis-ready datasets.
• Use genetic analysis tools such as PLINK/PLINK2 and imputation server outputs to process and analyse genomic data.
• Calculate and validate a 451-SNV prostate cancer polygenic risk score using published effect sizes.
• Evaluate additional genomic markers and polygenic risk score approaches relevant to clinically significant prostate cancer detection.

Requirements

• PhD, or imminent PhD completion, in genetic epidemiology, statistical genetics, bioinformatics, cancer genomics, epidemiology, data science, or a related quantitative discipline.
• Hands-on experience conducting cancer genomic medicine research and analysing genetic or genomic datasets.
• Experience cleaning, quality-controlling, and managing genotype or imputed genomic data, including pre- and post-imputation checks.
• Experience calculating, validating, or applying polygenic risk scores with variant effect sizes and ancestry or population-structure adjustment.
• Understanding of SNVs, alleles, imputation, linkage disequilibrium, ancestry, population structure, and principal components.
• Right to work in the UK required; Skilled Worker visa sponsorship is not available.

Nice to have

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

Culture & Benefits

• Collaborative, multidisciplinary, inclusive research environment.
• Generous employer pension contribution.
• 29 days of annual leave plus bank holidays and Christmas closure.
• Ride-to-work and electric vehicle car schemes.
• Flexible and hybrid working information is available, subject to the role's requirements.

Hiring process

• Applications close at midnight on the stated closing date.
• Shortlisting and interviews are handled by the role's academic contact.