Salary: Grade 8: £40,792 - £48,677 p.a.
We are seeking a Postdoctoral Scientist in Computational Epigenetics to contribute to the groups development of epigenetic sequencing technologies and applying them to elucidate epigenetic mechanisms in tumour biology and develop clinical applications in epigenetics. You will participate in the Cancer Research UK funded research programme at the University of Oxford led by Dr Chunxiao Song.
You will identify, define and plan new projects, which contribute to the overall aims of studies and supervise biostatistical students on a day-to-day basis. In addition you will conduct detailed analysis of datasets and develop novel methodologies for analysis and data collection in collaboration with members of the research team.
You must have a PhD (or equivalent) in a relevant scientific subject with research experience in academia or industry and have experience and technical expertise in the analysis and managing of largescale NGS genomic data (such as whole-genome sequencing, WGS) or epigenetic data (such as whole-genome bisulfite sequencing, WGBS).
Recently we developed a novel bisulfite-free and base-resolution sequencing of DNA methylation (bioRxiv doi: https://doi.org/10.1101/307538). It could replace bisulfite sequencing as the new standard in DNA epigenetic analysis. We expect it to revolutionise DNA epigenetic analysis, and to have wide applications in academic research and clinical diagnostics, especially in sensitive low-input samples, such as circulating cell-free DNA and single-cell analysis. We aim to use this technology to establish a database of tissue- and disease-specific DNA epigenetic modification map and focus on the two following research areas: 1) epigenetic sequencing of the circulating cell-free DNA to develop non-invasive early cancer detection, and 2) single-cell epigenetic sequencing to study the heterogeneity of tumours. This represents exciting opportunities for a bioinformatician to join the team not only to develop new computational tools, but also provides large datasets to develop clinical diagnostics and uncover new biological findings.
This full-time position is fixed-term for 3 years.
Further particulars, including details of how to apply, can be obtained from the document below. Applications for this vacancy should be made online and you will be required to upload a CV and supporting statement as part of your application.
The closing date for this position will be 12.00 noon on Monday 3 December 2018.