Bioinformatics Analyst

Job ID
Einstein/Resnick - Bronx
Employee Classification
Position Type
Regular Full-Time


Specific Responsibilities:


  • Processing and mapping raw NGS RNA-seq, ChIP-seq, ATAC-seq, WGBS and other omics datasets.
  • Analyzing RNA-seq, ChIP-seq, ATAC-seq, WGBS and other omics data sets generated in the lab for investigation of gene and chromatin regulatory networks in stem cells and cancer.
  • Downloading and processing published and publicly available omics data sets, and integrating them with datasets generated in the lab to investigate mechanisms of gene regulation in stem cells and cancers.
  • Working with the PI, students and postdocs in the lab to analyze omics data sets for their projects. 
  • Working with collaborators to analyze and process omics data.
  • Process data for manuscripts, talks, seminars and grants.
  • As needed learn new pipelines and latest methodologies in the field and apply them to lab research projects.


Albert Einstein College of Medicine offers its professional and administrative staff the opportunity to arrange hybrid-remote work or flexible-work schedules, with supervisory approval. The incumbent for this position is eligible for such consideration, and applicants may inquire with the hiring manager or human resources.


  1. Masters or equivalent degree with a record of course work or experience in bioinformatics. Applicants with a bachelor degree in bioinformatics with strong prior experience will be considered too.
  1. Prior experience in NGS data analysis (i.e. RNA-seq, ChIP-seq, ATAC-seq, WGBS) is required.
  1. Background in biology and genetics is preferred



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.


The Dawlaty Laboratory at the Genetics Department and the Institute for Stem Cell and Regenerative Medicine Research of Albert Einstein College of Medicine in New York City is seeking a bioinformatician to join our team.


Our research focuses on understanding the epigenetic mechanisms governing the biology of stem cells, development and cancer with an emphasis on the role of DNA modifying enzymes and chromatin modifications. We utilize embryonic stem cells, induced pluripotent stem cells and mice as model systems and combine bioinformatics, cellular and molecular approaches to study how DNA modifying enzymes reshape the epigenome and regulate cell fate, development and cancer.


We are seeking a colleague with extensive expertise in NGS data analysis to analyze RNA-seq, ChIP-seq, ATAC-seq, WGBS and single cell omics datasets generated in the lab for investigation of gene and chromatin regulatory networks in stem cells and cancer.


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