英国剑桥大学博士后职位招聘–计算生物学方向
The Philpott group in the Wellcome – MRC Cambridge Stem Cell Institute (https://www.stemcells.cam.ac.uk/people/pi/philpott), in collaboration with the Simons group at the Wellcome/CRUK Gurdon Institute(https://www.gurdon.cam.ac.uk/people/ben-simons/), are seeking a Research Associate in Computational Biology.
Mechanisms that lead to the establishment and maintenance of cell identity are paramount for organismal health. They also underpin successful cellular reprogramming for disease modelling and cell replacement therapies. Alongside experimental lab work using embryonic stem cells, cancer cells and Xenopus frog embryos, the Philpott lab, in collaboration with the Simons lab, makes use of analytical and computational approaches to study mechanisms of lineage fidelity and transcriptional reprogramming of cell fate during development and in disease. Current interests include the roles played by the epigenome and cofactors in regulating lineage transcription factor-mediated establishment and stabilisation of cell fate.
With experience in the development of statistical and computational methods, the role holder will have a key position in analysing single-cell and bulk genome-wide datasets across a range of projects and experimental model systems. As well as performing computational genomics analyses, the role holder will also make use of functional data to develop mechanistic insights using statistical modelling-based methods and/or computational approaches. The role holder will work closely with experimental colleagues to transform sequencing data into biologically meaningful information. Reflecting this central role in data analysis and integration, the role holder’s contributions will be acknowledged accordingly. There will also be the opportunity to carry independent research in close collaboration with experimental scientists in the lab.
Applicants should have a strong background in statistical methods and computational biology, and prior experience in the analysis of high-throughput genomic and transcriptomic data and may have experience in the deployment of machine learning analysis pipelines. Previous experience in the analysis of single-cell data would be an advantage. The applicant should have a PhD in a relevant subject, a sound understanding of molecular biology, and a strong publication track-record in computational biology or computer science. As well as being able to work independently, the role requires strong communication skills and the ability to work in a dynamic multidisciplinary team environment.
The Philpott lab is located in the Cambridge Stem Cell Institute, which provides a stimulating environment that promotes collaborative and interdisciplinary research. Its postdoc association encourages scientific and social interactions and provides career development and teaching opportunities.
Informal enquiries can be directed to Dr Frances Connor fac31@cam.ac.uk
Fixed-term: The funds for this post are available until 31 March 2026 in the first instance.
To apply online for this vacancy and to view further information about the role, please visit :
http://www.jobs.cam.ac.uk/job/39926.
The closing date for applications is: 4th April 2023
The interview date for the role is: To be confirmed
Please quote reference PS35805 on your application and in any correspondence about this vacancy.
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