Computational Biologist

University of Oxford; Oxford; Vor Ort; GBP 39.000 - 48.000; Vollzeit

Zusammenfassung

University of Oxford is seeking a Computational Biologist to lead core computational analyses for a British Heart Foundation-funded project on RSPO3 and adipose tissue biology. You will integrate recall-by-genotype phenotyping, single-nucleus RNA sequencing and large proteomic/genetic datasets to define cellular and molecular mechanisms linking adipose tissue to cardiometabolic risk.

The role is based at OCDEM, Churchill Hospital, Oxford, full-time and fixed-term for 3 years, offering

Qualifikationen

• Lead the core computational analyses for a BHF-funded project.
• Bring strong computational and statistical skills.
• Work with adipose tissue biology, single-cell genomics and statistical genetics.

Aufgaben

• Lead and perform the core computational analyses for the project.
• Analyse and integrate diverse datasets to define cellular and molecular effects of RSPO3.
• Present findings at national and international meetings.

Kenntnisse

Computational biology

Bioinformatics

Statistical analysis

Single-cell genomics

Python/R programming

Jobbeschreibung

Location: RDM-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.

• Substantial scope for intellectual contribution
• Method development
• First-author publications
• Presentation of findings at national and international meetings

£39,424 to £47,779 per annum. Grade 7