Lead Computational Biologist – Cardiometabolic Genomics

University-of-Oxford; Oxford; On-site; GBP 42,000 - 60,000; Full time

Job summary

The University of Oxford, through the Oxford Centre for Diabetes Endocrinology and Metabolism (OCDEM) at Churchill Hospital, is seeking a Computational Biologist to lead core analyses for a British Heart Foundation-funded project on RSPO3 and cardiometabolic risk. The post involves recall-by-genotype phenotyping, single-nucleus RNA sequencing and large-scale proteomics.

The appointee will bring strong computational and statistical skills, work with experts in adipose tissue biology and

Qualifications

• Lead core computational analyses for a British Heart Foundation-funded project investigating RSPO3 and cardiometabolic risk.
• Analyse and integrate recall-by-genotype phenotyping with single-nucleus RNA sequencing, proteomic datasets and genetic analyses.
• Work with experts in adipose tissue biology, single-cell genomics and statistical genetics; contribute to method development and publications.

Responsibilities

• Analyse and integrate multi-omics data to define cellular and molecular effects of RSPO3.
• Identify pathways linking adipose tissue biology to cardiometabolic disease.
• Collaborate with domain experts and present findings at national and international meetings.

Job description

The University of Oxford, through the Oxford Centre for Diabetes Endocrinology and Metabolism (OCDEM) at Churchill Hospital, is seeking a Computational Biologist to lead core analyses for a British Heart Foundation-funded project on RSPO3 and cardiometabolic risk. The post involves recall-by-genotype phenotyping, single-nucleus RNA sequencing and large-scale proteomics.

The appointee will bring strong computational and statistical skills, work with experts in adipose tissue biology and