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Advanced Job Search Results
Advanced Job Search Results
Here you can take a quick look at the current jobs on offer. There are three ways of doing this: you can select on date posted, select criteria for the type of job you are interested in using the checkboxes and/or the free text.
We seek an enthusiastic Health Informatician / Data Manager to curate electronic health record (EHR) data from a variety of sources, and to derive new variables by applying existing code lists and algorithms from major UK and international initiatives, e.g. UK Biobank and CALIBER. The Health Informatician will also contribute to the integration of molecular, genomic and imaging data with clinical information from EHRs, and be responsible for preparing extracts of data for analysis.
Candidates should have a higher degree or equivalent experience in bioinformatics, biostatistics, computer science, mathematics or statistics. They should have: experience of working with large-scale healthcare datasets and deriving variables from electronic health records; experience of programming in one or more relevant programming languages; and excellent attention to detail.
Health Data Research UK is the new national institute for data science for health, which is being established in 2018 with long term (10 year+) funding support from research councils, UKRI, charitable and governmental research funders. The mission of HDR UK is to drive improvements in the health tripartite of patients and populations through research at regional and national scale. To deliver this mission, the Wellcome Sanger Institute (WSI), EMBL-European Bioinformatics Institute (EBI), and the University of Cambridge (UoC) and its associated hospitals came together as the HDR Cambridge partnership
Grade: 2 Salary per annum: £36,737 to £44,451 Full Time or Part Time: Full Time Contract Type: Fixed Term Contract Length: 3 years Reference:83708
We seek an experienced Medical Statistician to analyse high-dimensional data arising from the integration of molecular, genomic and imaging data with clinical information from electronic health records to identify causal risk factors associated with a range of diseases. The post-holder will have access to rich, unique datasets from multiple population and patient cohorts, which include genetic, multi-omic and EHR data. This post will be co-supervised between HDR UK-Cambridge and the MRC Biostatistics Unit, providing access to statistical and health informatics expertise.
Candidates should have: i) a Masters or PhD in Statistics or another relevant subject; ii) strong statistical/quantitative skills and knowledge of high-dimensional statistical methods (eg. LASSO, ridge regression); iii) excellent statistical programming skills (e.g. Stata, R); iv) high-level report writing and presentation skills and; v) excellent verbal and written communication skills.
Health Data Research UK is the new national institute for data science for health, established in 2018 with long term (10 year+) funding support from research councils, UKRI, charitable and governmental research funders. The mission of HDR UK is to drive improvements in the health of patients and populations through research at regional and national scale. To deliver this mission, the Wellcome Sanger Institute (WSI), EMBL-European Bioinformatics Institute (EBI), and the University of Cambridge (UoC) and its associated hospitals came together as the HDR UK-Cambridge partnership.
Health Data Research UK is funded by UK Research and Innovation, Department of Health (England) and the UK devolved administrations, and leading medical research charities.
The Medical Research Council (MRC) Biostatistics Unit (BSU) is one of the largest groups of biostatisticians in Europe, and a major centre for research, training and knowledge transfer in biostatistics.
Grade: 2 Salary per annum: £36,737 to £44,451 Full Time or Part Time: Full Time Contract Type: Fixed Term - External Funding Other Contract Length: 3 years Reference:83716
The Tree of Life is a new programme at the Wellcome Sanger Institute that will explore the evolutionary biology of genomes from across eukaryote diversity to understand pattern and process in the generation of diversity. To do this, we will generate many thousands of high quality genomes, chromosomally-resolved wherever possible, of protists, fungi, plants and animals. We are looking for up to four postdoctoral bioinformatics researchers to join Mark Blaxter’s group to work on diverse aspects of the evolution of genomes, their structure, their analysis and their presentation to the wider world.
Post 1: Phylogenomics
We aim to build a continually updated tree of life from the genomes generated in the Tree of Life programme at Sanger and elsewhere. This post will deliver software solutions to identify orthology, build alignments and compute phylogenies across all sequenced genomes. In addition to resolving a species-level tree, these data will be used to understand the dynamics of gene family change through evolution, and map the conflicting roles of introgression, hybridisation and horizontal gene transfer in producing conflict in tree estimation. The ideal applicant will have experience in both software pipe-lining in a production environment and in large scale phylogenetic inference. A keen interest in the diversity of life and understanding of the nuances of genome evolution would be desirable.
Post 2: Chromosome evolution
While organisms and genes evolve rapidly, karyotypes appear to be relatively stable. In addition, chromosomes have internal structure that persists through phylogenetic time, such that many genes have been linked on the same chromosome for many millions of years. What maintains chromosome structures through time? What does karyotypic conservatism mean for linked gene coevolution? These questions will be explored using the breadth of genomes sequenced in the Tree of Life programme across a range of evolutionary distances. The ideal applicant for this post would be a computational biologist comfortable with large data and able to develop algorithms to describe and model chromosome evolution.
Post 3: Genomes within genomes
Nearly one third of eukaryotic species are parasites, and many eukaryotes host prokaryotic endosymbionts. We have built toolkits for effective separation of cobiont genomes from their hosts, and this post will use these tools to survey and describe the diversity of symbionts within the thousands of genomes delivered by the Tree of Life programme. Do these cobionts cospeciate with their hosts, or do they jump regularly? What novel symbionts are there in the majority of unsequenced life? How do symbiont genomes evolve? The ideal applicant would be comfortable with genome assembly and interpretation, and in particular have an interest in investigating pattern and process in symbiont genome evolution.
Post 4: GenomeHubs
We are developing a genome databasing package, GenomeHubs (see https://genomehubs.org) based on Ensembl, that communities of researchers can use to deliver custom solutions for sharing and analysis of genome data. This post is for a curator/developer who will support our several taxon-oriented communities in installing and maintaining their instances of GenomeHubs, train users (including generating online training materials), and assist in the development of new functionality. The post will involve considerable travel and collaborative working, and so the ideal applicant will have experience in programming and genomics databasing and a desire to communicate and train a diversity of fellow scientists worldwide. This position is funded in part by the UK BBSRC.
The post holders will work closely with others in the Tree of Life programme and Mark Blaxter’s evolutionary genomics group. Within the underpinning need to deliver a whole solution to their overarching goals, all the posts will have independence in defining research focus and in establishing key collaborations.
All posts are for 3 years in the first instance, with prospect for extension.
For informal enquiries please email email@example.com
Grade: 2 Salary per annum: £37,288 to £ 44,451 Full Time or Part Time: Full Time Contract Type: Fixed Term Contract Length: 3 Years Reference:83693