The Cellular Genetics Programme is seeking two computational postdoctoral fellows to support the Haniffa Group. The Programme is focused on cell-atlasing and aims to map tissues by combining single cell transcriptomics, spatial genomics and computational methodologies to build full-transcriptome three dimensional (3D) models of cells in their tissue context, with the long-term ambition of building a 3D whole-body atlas at single cell resolution.
About the Team:
Muzlifah Haniffa is a dermatologist pioneering the applications of single cell genomics technologies to understand human development, tissue homeostasis, immunity and disease pathogenesis. A major research goal of her laboratory is to decode the development and functional maturation of the human immune system and whole embryo development. The Haniffa Group’s research within the Cellular Genetics Programme applies disruptive cutting-edge single cell and spatial genomics techniques to study human development and adult healthy and diseased tissues.
About the Roles:
Post 1: You will be responsible for analysing large single-cell genomics including spatial genomics datasets relating to the Human Cell Atlas research to deliver key insights. You will work collaboratively with wet lab biologists generating the data, other researchers including bioinformaticians in the Haniffa group, Cellular Genetics programme including IT team, EBI and international collaborators. The post will be funded for three years.
Post 2: You will be working on a project funded by CZI to analyse large single-cell genomics including spatial genomics data from paediatric skin. You will work collaboratively with wet lab biologists and bioinformaticians within Cellular Genetics programme in Sanger and researchers in QMUL and Newcastle University. The post will be funded for three years.
You understand key concepts in genomics, data processing and high-throughput data analysis. You will ideally have experience in the management and analysis of very large data sets, using or developing statistical/machine-learning methods for the analysis of large-scale data sets. You work effectively within a team and independently. You also organise workload and communicate adequately.
As a Postdoctoral Fellow in the Cellular Genetics Programme, you will be joining a collaborative and cutting-edge environment. The Programme encourages everyone to network and to showcase their research, including at our weekly seminar series. In addition to support from the Sanger core areas of Scientific Operations, Management Operations and ICT, within the Programme the Cellular Genetics Operations teams provide comprehensive multidisciplinary support to help with everything from processing samples, delivering analysis pipelines, to assistance with fellowship applications. The Sanger Institute also supports PDFs by offering various training opportunities, chances to network, and has a PDF committee in place to ensure our PDFs are supported throughout their posts.
A PhD in computational biology, bioinformatics, biostatistics or related scientific discipline
Understanding and experience in the fields of genomics, data processing and high- throughput data analysis
Extensive experience in a research environment with an established track record of productivity
Proficiency in one or more scripting languages (C/C++, R, python)
Competencies and Behaviours
Excellent communication and organisational skills
Proven independent working style, technical problem solving, data analysis and generation of novel ideas
Motivation and ambition to make a personal contribution to GRL research
Proven ability to work effectively within a team
Ability to work multi-task and organise own workload
Good attention to detail and record keeping
Demonstrates inclusivity and respect for all
Please apply with your CV and a cover letter outlining your suitability for the role using the criteria set out above in the essentials skills and in the attached role profile.
|Teaching and scientific research, Internship and training, Postdoctoral