Lead Computational Biologist: Cardiometabolic Genomics

University of Oxford; Oxford; Presencial; GBP 39 000 - 48 000; Tempo integral

Resumo da oferta

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

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Computational biology

Bioinformatics

Statistical analysis

Single-cell genomics

Python/R programming

Descrição da oferta de emprego

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