Bioinformatician II/Computational Research Scientist - Institute for Personalized Medicine

Job Description

Strength Through Diversity

Ground breaking science. Advancing medicine. Healing made personal.

 
Roles & Responsibilities:

We are seeking to strengthen our analytical team in the Charles Bronfman Institute for Personalized Medicine (CBIPM) at the Icahn School of Medicine at Mount Sinai, with an outstanding computational research scientist interested in the genetics and genomics of complex traits.


We are an interdisciplinary institute with a mission to advance personalized health and health care. One of the institute’s key resources is the BioMe electronic health record (EHR)-linked Biobank, an ancestrally diverse population of >50,000 individuals recruited from throughout New York City. BioMe has a longitudinal design and captures and full spectrum of common and rare biomedical phenotypes. BioMe is also rich in genetic data, including genome-wide array genotypes, and exome (N ~34,000) and whole genome (N ~15,000) sequencing data.


The successful candidate will manage the challenges of EHR-linked data, apply phenotypic algorithms and efficiently analyze and interpret the results. This will involve the application of variant calling and annotation software to high‐density genotyping and sequencing data (including genome‐wide arrays, ExomeChip, and next generation sequencing), as well as the application and development of approaches aimed at streamlining pipelines to deal with the analyses and interpretation of data from genetically diverse populations. S/he will integrate the increasing amount of data for further downstream analyses.


The successful candidate will be part of a stimulating and internationally competitive scientific environment, and is expected to work closely with colleagues in CBIPM and with faculty from other research institutes at Mount Sinai

 

Requirements:
  • Masters degree in Computer Science,Statistics/Bioinformatics/statistical genetics/genetic epidemiology/computational biology or a related discipline is required. A Ph.D in any of these disciplines is a plus. 
  • An understanding of biology, particularly genetics, is advantageous. 
  • He or she will have excellent programming, database and interactive web application skills (e.g. Perl,  Python, SQL, R Studio, R Shiny) and proven experience in the manipulation and statistical analysis (e.g. R) of large datasets from different sources and in different formats, and in conducting and organizing research projects.
 
Strength Through Diversity

The Mount Sinai Health System believes that diversity and inclusion is a driver for excellence. We share a common devotion to delivering exceptional patient care. Yet we’re as diverse as the city we call home- culturally, ethically, in outlook and lifestyle. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education and advancement as we revolutionize healthcare delivery together.
 
We work hard to recruit and retain the best people, and to create a welcoming, nurturing work environment where you have the opportunity and support to develop professionally. We share the belief that all employees, regardless of job title or expertise, have an impact on quality patient care. 

Explore more about this opportunity and how you can help us write a new chapter in our story! 

Who We Are

Over 38,000 employees strong, the mission of the Mount Sinai Health System is to provide compassionate patient care with seamless coordination and to advance medicine through unrivaled education, research, and outreach in the many diverse communities we serve.
 
Formed in September 2013, The Mount Sinai Health System combines the excellence of the Icahn School of Medicine at Mount Sinai with seven premier hospitals, including Mount Sinai Beth Israel, Mount Sinai Brooklyn, The Mount Sinai Hospital, Mount Sinai Queens, Mount Sinai West (formerly Mount Sinai Roosevelt), Mount Sinai St. Luke’s, and New York Eye and Ear Infirmary of Mount Sinai.
 
The Mount Sinai Health System is an equal opportunity employer. We promote recognition and respect for individual and cultural differences, and we work to make our employees feel valued and appreciated, whatever their race, gender, background, or sexual orientation. 

EOE Minorities/Women/Disabled/Veterans

 

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