NGS Bioinformatician - Bioinformatics
General Information
Language : English
Years of Experience : 3-5 years
Closing Date : 31 December 2012
Function
A key role within the Genome Informatics Group involved with software development, database and LIMS development and statistical analysis. Your main area of expertise will be Next Generation Sequencing and you will be expected to participate in developing workflows and analysis pipelines for NGS projects.
Responsibilities
- Carries out a wide range of computational genomics duties with minimum supervision
- Provides software support in developing workflows and analysis pipelines for NGS projects.
- Participates in activities relating to handling/analyzing/interpreting the highthroughput data.
- Adhere to all research center related policies and procedures.
- Perform other related duties as assigned.
Required Skills and Expertise:
Master degree in Bioinformatics with experience in the analysis of NGS data.
Two-three years of experience in Bioinformatics software development for the analysis of highthroughput NGS data.
a. Fluency in bioinformatics programming (Java, Perl, C, BioPerl in Unix/Linux environment). Experience with Ensembl API and BioPerl.
b. Experience with handling & managing data/software associated with high-throughput instruments for genetics/genomics.
c. Experience of programming in Computational & statistical analysis, data mining, and open source bioinformatics.
d. Fluency with genome databases (such as those relating to genome annotation, genetic variants, and metabolic pathways) and biological & statistical software packages (such as gene annotation programs, R and Plink) that are relevant for the study of computational genetics and genomics;
e. Programming ability to handle/implement/access the genetics/genome resources as well as to carry out integration of data across dipartite data resources.
f. Experience of participation in large-scale computational analysis of whole genome, transcript sequences, expression data, genetic variants, gene/protein networks and metabolic pathways.