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Bioinformatics Analyst

Bioinformatics Analyst

Job ID 
2017-10120
Campus 
Einstein/Resnick - Bronx
Posting Date 
6/7/2017
Employee Classification 
Exempt
Department 
Pediatrics
Position Type 
Regular Full-Time

More information about this job

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.

 

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.

 

THE POSITION

 

The 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.

POSITION RESPONSIBILITIES

  • 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 data
  • Construct phylogenic trees
  • The 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 Experience

  • Bachelors 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.

Skills and Competencies

  • Speaks 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 Responsibility

  • The 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.