NYU GROSSMAN SCHOOL OF MEDICINE is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.

POSITION SUMMARY:

We have an exciting opportunity to join our team as a Data Analyst. The lab of Prof. Stefan Feske (http://labs.pathology.med.nyu.edu/feske-lab/) at the NYU Grossman School of Medicine and NYU Langone Health is seeking a highly motivated, enthusiastic individual to become part of a team of scientists investigating ion channels in immune cell function. The successful candidate will have the opportunity to interface with a wet-bench scientists and lead analyses on large datasets generated from state-of-the art next-generation sequencing technologies including single-cell approaches.

The successful candidate will also work and interact with a vibrant group of bioinformaticians in the Applied Bioinformatics Laboratories (http://nyulmc.org/abl). ABL provides computational support and expertise to promote innovative cutting-edge research conducted by principal investigators at NYU Langone Health.

This is a great opportunity to acquire high-in-demand bioinformatics skills, develop and publish new analysis tools/pipelines, analyze challenging datasets, and be a co-author on multiple high-impact manuscripts.

JOB RESPONSIBILITIES:

• Conduct statistical research analysis by compiling data, managing data bases, analyzing data and presenting research results in numerical and graphic formats.
• Collaborate with experimental biologists in the integration of biomedical data to address research questions.
• Interpret and convey results to project leaders or principal investigators.
• Summarize statistical results of a research project by creating graphs, tables and charts.
• Perform data analysis through established computational pipelines to study clinical/biomedical data.
• Develop new computational methods to analyze and manage biomedical/clinical data.
• Work closely with bench scientists to analyze and interpret genomic datasets.
• Analyze various types of sequencing data analysis (e.g. bulk RNA-Seq, single cell RNA-Seq, and less frequently, ChIP-seq, ATAC-seq, whole-genome sequencing).
• Mine databases for hypothesis generation or validating information.
• Perform robust data quality control and validation.
• Manage data sets on genome browsers.
• Adapt genomic data analysis pipelines in a rapidly evolving research environment.
• Develop novel methods for multi-omics data analysis and integration.

MINIMUM QUALIFICATIONS:

To qualify you must have a Bachelor's degree in a related field such as Computer Science, Data Science, Statistics, Mathematics etc. A minimum of one year of research experience with formal training in statistics and machine learning. Strong programming skills in R or Matlab and Python. Critical thinking skills and ability to translate concepts into practice. Strong organizational and time management skills, including ability to work independently and prioritize projects. Excellent verbal and written communication skills.

PREFERRED QUALIFICATIONS: 

• Master's degree in Bioinformatics, Systems Biology, Computer Science or related field
• Knowledge of biology and understanding of key and complex biological concepts (genes, pathways, cancer/immunity and/or stem cells)
• Ability to work independently while collaborating and assisting the team in its common research goals
• Attention to detail and ability to work on multiple projects is necessary
• Experience in Unix/Linux systems including HPC environments
• Scripting languages: Python (preferred) or Perl
• Statistical packages: R (preferred) or Matlab.
• 1+ years of experience with sequencing data (two of DNA-seq, RNA-seq and ChIP-seq)
• 1+ years of experience creating customized sequencing analysis pipelines
• Excellent communication skills with proficiency in written and oral English

Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. To view the Pay Transparency Notice, please click here.

Required Skills Required Experience