Computational Biologist

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

Oxford Centre for Diabetes Endocrinology and Metabolism (OCDEM), Churchill Hospital, Old Road, Headington, Oxford, OX3 7LE

An exciting opportunity has arisen for a Computational Biologist to lead the core computational analyses for a British Heart Foundation-funded project investigating how RSPO3 regulates human body fat distribution and cardiometabolic risk.

The study combines recall-by-genotype human phenotyping with single-nucleus RNA sequencing of abdominal and gluteal adipose tissue, large-scale proteomic datasets and genetic analyses. You will analyse and integrate these data to define the cellular and molecular effects of RSPO3 and identify pathways linking adipose tissue biology to cardiometabolic disease.

We are seeking a highly motivated Bioinformatician to lead the core computational analyses for a British Heart Foundation-funded three-year project investigating how RSPO3 regulates human body fat distribution and cardiometabolic risk. The study combines recall-by-genotype human phenotyping with single-nucleus RNA sequencing of abdominal and gluteal adipose tissue, large-scale proteomic datasets and genetic analyses. The postholder will analyse and integrate these data to define the cellular and molecular effects of RSPO3 and identify pathways linking adipose tissue biology to cardiometabolic disease. The appointee will bring strong computational and statistical skills and work closely with experts in adipose tissue biology, single-cell genomics and statistical genetics. The role offers substantial scope for intellectual contribution, method development, first-author publications and presentation of findings at national and international meetings.

The position is full time and fixed term for 3 years in the first instance. The position will be based at OCDEM, Churchill Hospital, Oxford.

For informal enquiries, please contact Ruby Ramsamy at [e-mail] Please quote reference 189348 on all correspondence.