The person will:Utilize existing pipelines to process and analyze high-throughput sequencing data, including bisulfite sequencing data.Manage, organize all bioinformatics sequencing data in the lab. Including papillomavirus sequence, microbiome data, both 16S and other, and human genomic dataConstruct phylogenic treesThe individual will be responsible for downloading large Fastq, BAM and/or Fasta files for analyses. Must have experience using existing software tools and modifying R scripts. Should be able to generate figures, and some statistical analyses. The lab routinely uses barcoding primers for multiplex NGS runs which require demultiplexing and analyses.QUALIFICATIONS:
Education and ExperienceBachelors degree and at least one year experience with a strong focus on computational biology and some experience in bioinformatics. An interest or experience in evolution and/or microbiology is desirable.The candidate must have expertise in R or Python.Experience in microbiome bioinformatic processing preferredSkills and CompetenciesSpeaks clearly and expresses self well in one-on-one conversations and groups;Develops effective written communications and uses them appropriately;Interacts and proactively shares information with internal and external contacts where appropriate;Develops effective relationships with peers, students and employees;Assumes responsibility to ensure issues/concerns will be addressed and monitors them through conclusion;Identifies, defines and analyzes information and situations before recommending a course of action;Effectively manages own time and resources;Seeks to apply technology and innovation to improve efficiency and solve problems.Scope of ResponsibilityThe individual will work with and report directly to Dr. Robert D. Burk, Principal Investigator of the lab. He will also work with other lab members generating NG sequencing data.ABOUT US:
Founded in 1955, the Albert Einstein College of Medicine (Einstein) is one of the nation’s premier institutions for medical education, basic research and clinical investigation. A full-time faculty of some 2,000 conducts research, teaches, and delivers health care in every major biomedical specialty. The college has some 730 medical students, 193 Ph.D. students, 106 MD/Ph.D. students and 275 postdoctoral fellows.Einstein’s major strength, in addition to training physicians and scientists, is its science. During fiscal year 2015, the faculty’s consistently high level of scientific achievement resulted in the awarding of more than $150 million in peer-reviewed grants from the National Institutes of Health (NIH).Einstein is part of Montefiore Medicine Academic Health System, an integrated academic delivery system comprising seven campuses, including 8 hospitals, a multi-county ambulatory network, a new state-of-the art “hospital without beds”, a skilled nursing facility, school of nursing, home health agency, and the state’s first freestanding emergency department. As the University Hospital for the Albert Einstein College of Medicine, Montefiore is a premier academic health system, employing Einstein’s clinical faculty and training Einstein’s medical students, over 1,300 residents, 420 allied health students, and 1,600 nursing students annually.We have also been recognized by Forbes as one of the country’s best midsize employers in 2019. Forbes ranked Einstein in the top overall nationally among midsize employers. Einstein ranked 3rd within the education category in New York State and 9th nationally among all midsize education employers.The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve.POSITIONThe Department of Pediatrics-Genetics lab, using Next-Gen sequencing and molecular evolution, is seeking a Bioinformatics Analyst to work with a group of scientists studying human papillomavirus, microbiome and cervix neoplasia. The ideal candidate will have a background in biology, computer science and/or bioinformatics. He/She will be responsible for processing next-gen sequencing data, creating phylogenetic trees and maintaining data and pipelines.
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