The Biomarkers Core Laboratory at the Irving Institute for Clinical and Translational Research seeks a highly motivated bioinformatics scientist to join the untargeted metabolomics/exposomics team. This position will provide computational support to GC and LC-HRMS based profiling of endogenous and exogenous metabolites in support of precision medicine metabolomics and exposomics initiatives. The untargeted metabolomics/exposomics team is a new partnership between the Irving Institute for Clinical and Translational Research, the Vagelos College of Physicians and Surgeons, and the Mailman School of Public Health under the scientific guidance of Professor Gary Miller. This position focuses on developing and implementing high-performance computational workflows, software platforms, and statistical data mining techniques for the multi-omic integration of metabolomics and exposomics to advance our understanding of environmental drivers of human health and disease.
After an initial set-up period, this position will be eligible for hybrid work as agreed upon by the Biomarkers Core Lab team and the employee.
To develop and implement high throughput and efficient data processing pipelines and workflows using open source and commercial platforms to perform spectral processing, feature annotation, statistical analysis, data interpretation, and visualization.
Perform QC monitoring and routine bioinformatics analysis of large-scale, longitudinal LCMS and GCMS-based untargeted metabolomics datasets.
Design, develop and implement automation pipelines by integration of packages (R/Python/Java) to improve the analytical infrastructure for high throughput OMICS data analysis
Develop novel tools and bioinformatic strategies to address project-specific analytical challenges and provide custom solutions for metabolomics analysis.
Perform upgrades, maintenance, and troubleshooting of the R-based, in-house analytical platform, and the commercial software; Maintenance and upgrades of servers.
Perform data handling, record keeping, and archiving; prepare SOPs, documentation, reports, and Presentations.
Bachelor's degree in specific in computational biology, bioinformatics, metabolomics, analytical chemistry, biochemistry, mass spectrometry or other related field.
4-6 years of professional experience in bioinformatics and computational metabolomics is required.
Demonstrated experience in data analysis of large scale unbiased metabolomics studies (spectral pre-processing, QC monitoring, feature extraction, statistical analysis, and reporting)
Documented knowledge and experience with programming, machine learning, and multi-OMICS data processing.
Strong background in biological mass spectrometry, HRAM-LCMS and GCMS data handling, and spectral database construction.
Proficiency in one or more programming languages: Perl, Python, R, Java, C++; experience in working with high-performance computing environments (AWS preferred)
Expertise in statistical and data mining techniques such as PCA, hierarchical clustering, ANOVA, SVM, and PLS; familiarity with pathway enrichment and network analysis
Excellent communication and presentation skills, as well as the ability to work in cross-functional teams
Ability to maintain effective working relationships with supervisors, researchers, staff, and other personnel.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.