Imperial College London
Salary: Research Family, Research Associate Level (£37,486 to £46,499 per annum) *
Location: EPSRC Centre for Mathematics of Precision Healthcare at Imperial College London, Department of Mathematics and Cambridge Clinical Neurosciences and Mitochondrial Biology Unit
Applications are invited for a Research Associate joint between EPSRC Centre for Mathematics of Precision Healthcare (CMPH) at Imperial College London, Cambridge Clinical Neurosciences and the MRC Mitochondrial Biology Unit.
This project joins three timely themes: ageing; single-cell sequence data and mitochondria (cellular power stations). Each of our cells can contain thousands of mitochondria each with their own genomes (mitochondrial DNA, mtDNA). Mutations in mtDNA have been implicated in numerous conditions of ageing (from neurodegeneration to cancer) but until now we have had limited means to associate the mtDNA sequences in individual cells with the cellular state of those cells (as indicated by transcriptome or other data). This appointment will help bridge the gap between the genetic state of cellular power stations and the state of the aged cell. By these means we can help elucidate a key question in the field: the role of mtDNA mutation in ageing.
Links for context:
The appointment will be split between Imperial and Cambridge and, like other current team members joint between the groups, there will be travel between the two sites throughout the appointment. It is anticipated that Imperial will be the principal base in the first year and Cambridge in the second
Duties and responsibilities
- To gain mastery of the stochastic process and inference tools.
- To gain a careful understanding of the relevant data acquisition pipelines.
- To gain a mastery of the standard bioinformatics approaches to single cell mtDNA and single cell RNA-Seq data analysis.
- To understand and, likely build on, current statistical inference architectures for the analysis of single-cell sequence data with a particular focus on the acquisition of both transcriptome and sequence data from the same cell.
- To statistically link stochastic models for cellular mtDNA population genetics to single-cell sequence data and to single-cell phenotype data.
The essential requirements for this post are as follows:
- A PhD in Mathematics, Computer Science, Physics, Statistics or Data Science, Engineering, Control, or closely aligned disciplines, or an equivalent level of professional qualifications.
- Experience in:
- Competent deployment of numerical and simulation methods
- Programming in relevant high-level programming languages (R, Matlab®, Mathematica®, Python, C/C++, or equivalent)
- Strong track record of high-quality independent research, commensurate with career stage
- Experience in coding and computational sciences
- Experience and knowledge in one or more of the following techniques:
- Dynamical systems and/or stochastic (population) processes
- Statistical inference techniques applied to rich dynamical systems (e.g. simulation-based inference)
- Statistical Genetics
- Statistical Physics
- Strong mathematical ability
- Strong interest in the project
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant. The salary range is £34,397 – £37,486 per annum.
This contract is full time, fixed term for 24 months.
Should you require any further details on the role please contact: Dr Anna Radomska, EPSRC Programme Project Manager (email@example.com)
If you experience any technical issues when applying online please email firstname.lastname@example.org
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