1) Lead the bioinformatics analysis of high-throughput biological data.
2) Apply state-of-the-art computational biology and bioinformatics methods and tools to generate new or validate existing testable hypotheses from complex and large biological datasets
3) Lead the analysis of data resulting in a better understanding of human genetic variation and the association of medical information to uncover gene-disease links and new targets
4) Work effectively with the faculty, clinicians, researchers and experimentalists, to implement novel or adapt existing approaches to optimize upstream and downstream analysis and interpretation of biological data
5) Integrate diverse and heterogeneous datasets, to facilitate mining statistical analysis and visualizations leading to a better understanding of disease mechanisms, and the correlation between phenotype and genotype in different research projects
6) Instruct others in the selection and use of bioinformatics tools
7) Develop new software applications or the customization ofÂ existing applications to meet specific scientific project needs
8) Identify suitable datasets and methods to answer particular research questions
9) Design and perform formal evaluation of informatics methods and products
10) Perform data analyst functions that generate knowledge via data mining, visualization, or other analytics
11) Conduct validation and user acceptance testing
12) Create novel computational approaches
13) Design best research and development practice
14) Stay up to date on new advances and developments in bioinformatics and provide on-demand bioinformatics and statistics support to various teams
15) Development of training, tools, and process documentation
1) Advanced knowledge in bioinformatics, research techniques and methods.
2) Ability to train others.
3) Advanced knowledge of modern programming and/or scripting languages such as Python.
4) Knowledge of genomic data regulatory policies and procedures, and the optimization, automation and operations support of analysis pipelines for high dimensional data including whole-genome, whole-exome, and RNA sequencing data.
5) Advanced analytical skills.Â
6) Excellent verbal and written communication skills.
7) Ability to work independently and as part of a team.Â
1) MS or Doctoral degree in Bioinformatics, Biological Sciences, Computer Science, or a related field.
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1) Minimum of 5 year of experience in programming for bioinformatics with scripting languages such as Python, R,Â XML, C/C++ or SQL.
2) Experience organizing and working with big data.Â Â Â Â Â Â Â Â Â
3) Experience with next generation sequencing technologies such as BWA, Novoalign, STAR, GATK, samtools, Picard or other tools.
4) Experience and proficiency in analysis pipeline development of high throughput data.
Note:When applying, all required documents MUST be uploaded under the Resume/CV section of the application
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