Overview
Applications are invited for a postdoctoral research fellow to work on the statistical data analysis of cell division in humans and human egg development. You will join an interdisciplinary team and work on a variety of ongoing data analysis projects. Datasets are of two types – DNA sequencing data and tracked chromosome 3D movement data. The project will involve Bayesian inference methods, specifically fitting models to data (typically in STAN).
Responsibilities
* Work on the statistical data analysis of cell division in humans and human egg development.
* Join an interdisciplinary team and contribute to a variety of ongoing data analysis projects.
* Handle datasets of two types: DNA sequencing data and tracked chromosome 3D movement data.
* Apply Bayesian inference methods and fit models to data (typically in STAN).
Qualifications and Skills
* PhD in statistics, mathematics, physics, operations research, computer science or data science; strong statistics background.
* Candidates with either Bayesian or traditional statistical backgrounds are encouraged to apply.
* Ability to program in a high-level language for data analysis such as R, STAN or MATLAB; experience implementing Bayesian algorithms is advantageous.
* Background in biology is NOT required.
Terms and Conditions
* The post is for up to 6 months, to 31 March 2026. Additional funding is pending. The post will be ideal for PhD students awaiting their viva.
* If you have not yet been awarded your PhD but are near submission or have recently submitted your PhD, offers of employment will be made as Research Assistant on Level 5 of the University grade structure (£34,610). Upon award of your PhD and evidence of this fact, you will be promoted to Research Fellow on the first point of Level 6 of the University grade structure (starts at £35,608).
For details on the experience and skills required, please refer to the job description attached as a PDF below.
Contact for informal enquiries: Nigel Burroughs (Professor) at n.j.burroughs@warwick.ac.uk
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