Bioinformatics Associate

Research Foundation At Cuny-posted about 1 year ago
$54,715 - $97,270/Yr
Full-time • Entry Level
New York, NY
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The Bioinformatics Associate at CUNY School of Medicine will provide analytical expertise and bioinformatics support for research projects focusing on genomic data analysis, systems biology, and computational modeling. This role involves collaboration with faculty, researchers, and clinicians to address complex biological problems and advance scientific discovery in health and disease mechanisms.

  • Perform bioinformatics analysis of high-throughput genomic, transcriptomic, and proteomic data.
  • Apply computational tools and algorithms to analyze large-scale datasets, such as gene expression, variant calling, and pathway analysis.
  • Develop, implement, and optimize bioinformatics pipelines and workflows for data processing, analysis, and visualization.
  • Integrate genomic data with clinical, epidemiological, and other research data to identify biomarkers, disease pathways, and therapeutic targets.
  • Collaborate with researchers across multiple disciplines to interpret results and inform study designs.
  • Communicate findings through written reports, presentations, and contributions to publications and grant proposals.
  • Review emerging bioinformatics concepts and tools for adoption, and contribute to the development of new research tools and methodologies.
  • Train and mentor graduate students and researchers in bioinformatics methodologies and software tools.
  • Stay current with developments and trends in the field of bioinformatics.
  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or related field with at least two years of research experience, or a Master's Degree with at least four years of relevant experience.
  • Record of research, publications, and scholarship in a related field.
  • Experience with machine learning or artificial intelligence techniques applied to genomic data.
  • Familiarity with clinical data integration and electronic health record (EHR) systems.
  • Experience with statistical analysis and data visualization using R or similar tools.
  • Familiarity with scientific databases such as NCBI, UCSC Genome Browser, and Ensembl.
  • Publication record in bioinformatics or related field.
  • Prior experience in an academic or medical research environment.
  • Health insurance
  • Paid holidays
  • Professional development opportunities
  • Flexible scheduling
  • Tuition reimbursement
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