We are seeking two postdoctoral candidates and outstanding PhD candidates for a bioinformatics/genomics/experimental positions.
Work in the Hutchins laboratory involves building models using systematic analysis of gene expression and gene regulation with a view to understand human disease, pluripotency and development. We are particularly interested in transposable elements, long non-coding RNAs and systems biology approaches to understanding global organisation of cells and tissues, along with in vitro modelling of human disease, particularly Crohns disease.
Responsibilities will include the computational analysis of RNA-seq, ChIP-seq and other next generation sequencing data and experimental work if required.
To apply, email Andrew Hutchins: [email protected]
Essential requirements:
Desirable requirements:
Work in the Hutchins laboratory involves building models using systematic analysis of gene expression and gene regulation with a view to understand human disease, pluripotency and development. We are particularly interested in transposable elements, long non-coding RNAs and systems biology approaches to understanding global organisation of cells and tissues, along with in vitro modelling of human disease, particularly Crohns disease.
Responsibilities will include the computational analysis of RNA-seq, ChIP-seq and other next generation sequencing data and experimental work if required.
To apply, email Andrew Hutchins: [email protected]
Essential requirements:
- BSc. in either biology, computer science or related field, PhD required for postdoc.
- Enthusiasm to learn and work closely with experimental/computational biologists
- English
Desirable requirements:
- One or two of Python, Perl, R, and UNIX scripting (bash, awk, etc.)*
- Experience with RNA-seq data analysis (bowtie, tophat, cufflinks, stringtie, etc)
- Experience with ChIP-seq data analysis (MACS, SISSRS, SICR, DFilter, MANorm etc.)
- Experience using cluster computers (PBS, LSF, etc).
- Machine learning (SVM, PCA, MDS, etc)
- Biological experimental research experience