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RESPONSIBILITIES
The Center for Infection and Immunity (cii.columbia.edu) in the Mailman School of Public Health at Columbia University – one of the world's most advanced academic centers for research in infectious disease surveillance, diagnosis and discovery in acute and chronic illnesses has an immediate opening for an experienced bioinformatics scientist to drive and support research in the fields of pathogen discovery and diagnostics, microbiomics, host response and biomarker discovery in large scale projects from human and wildlife, chronic fatigue syndrome/myalgic encephalomyelitis and neurodevelopment disorders. The candidate will play a pivotal role in analyzing big datasets and will be working on high throughput platforms such as Next Generation Sequencing (NGS), Microarrays, Proteomics, Metabolomics and Transcriptomics. The candidate will closely collaborate with the researchers and statisticians to develop innovative approaches for biomarker discovery and development of diagnostic platforms. The candidate will develop new pipelines and help with maintenance of existing code, assist with maintaining High Performance Computing Infrastructure, maintain genomic databases, and learn and implement machine-learning algorithms.
Duties and Responsibilities:- Bioinformatics support for high throughput biomarker discovery and serology – 50%
- Bioinformatics support for projects related to microbial detection and discovery – 25%
- Database management-- 10%
- Server hardware management – 5%
- Contribute to publications and research grants – 5%
- Perform other related duties as assigned – 5%
REQUIREMENTS
The candidate is expected to demonstrate the following skills and experience:- At least four (4) years of experience in bioinformatics, statistics, NGS and/or microarray data analysis
- Proficiency with writing high-quality code for pipelines to analyze large datasets
- Advanced working knowledge of NGS experimental design, data quality control, mapping and alignment software, normalization and clustering methods
- Basic knowledge of genetics and molecular biology with practical knowledge of genomic databases from major bioinformatics resources such as NCBI and EMBL
- Proficiency in Linux environments and High Performance Clusters
- Familiarity with multi-threading tools, resource management and optimization for parallel processing of very large datasets
- At least 2-3 years of experience of scripting languages Python, R, Shell and/or Perl (proficiency is desirable) in an academic or industrial environment
Requires a bachelor's degree in bioinformatics or computer science and at least four years of experience in bioinformatics.
Preferred Qualifications:
Master's degree with at least 2 years of related experience. An applied mathematics/statistics/biostatistics background. Knowledge of statistical and machine learning techniques is a plus.
Individual should be highly self-motivated.COMPENSATION
Salary is competitive and commensurate with experience. Columbia University offers a comprehensive and attractive benefits package (Benefits Highlights for Officers 2019 – http://hr.columbia.edu/benefits/bib)HOW TO APPLY
Apply here: https://jobs.columbia.edu/applicants/Central?quickFind=175169
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