Senior Bioinformatics Programmer

Job Description

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.

At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.

For more information, go to med.nyu.edu, and interact with us on Linked In, Glassdoor, Indeed, Facebook, Twitter and Instagram.

Position Summary:

We have an exciting opportunity to join our team as a Sr. Bioinformatics Programmer working in a Molecular Diagnostics environment.

This position is an onsite role for a minimum of 6 months with the potential for hybrid role after that based on performance. Ability to be onsite 3 to 5 days a week a must (possibility of full remote work is currently not available)

NYU Langone Health, a world-class, patient-centered, integrated, academic medical center, and one of the nation's premier centers for excellence in clinical care, biomedical research and medical education, is seeking highly motivated, enthusiastic individual to join the Department of Molecular Pathology working in the field of Clinical Genomics and Precision Medicine.

The Molecular Pathology Lab at NYU Langone Health with the Applied Bioinformatics Laboratories (ABL) are seeking a highly motivated, enthusiastic and creative individual to become a member of our clinical bioinformatics team. We have an exciting opportunity to join our team as a Senior Bioinformatics Programmer. The successful candidate will be primarily responsible for the development and maintenance of computational pipelines and work closely with clinicians to develop bioinformatic tools for clinical Next Generation Sequencing (NGS) based diagnostics.

In addition, bioinformatics analysis of various types of patient genomic, epigenomic and transcriptomic data is required.

This is a great opportunity to be involved in an innovative environment utilizing and mastering bioinformatics programming skills, develop new analysis tools/pipelines, analyze challenging datasets, and be involved in cutting edge NGS based cancer diagnostics, clinical genomics and hands on precision medicine for the benefit of patients.

Job Responsibilities:

• Enhance or develop new automated workflows/pipelines within a nextflow environment for bioinformatic tools utilizing next generation sequencing data in clinical diagnostic assays

• Use existing bioinformatics pipelines to analyze the molecular patient data generated in the clinical lab

• Oversee systems support for existing bioinformatics pipelines and develop new pipelines to support new molecular assays

• Support the team in its common clinical genomics and precision medicine goals

• Perform quality control of the generated sequencing data and develop solutions to enhance future performance

• Perform different types of data analysis relating to the genomics-based approaches utilized by the lab, in an independent fashion.

• Develop new methods for multi-omics data analysis and integration

• Work with bioinformatics scientists and clinical pathologists to analyze and interpret patient NGS results for better potential treatment options

• Work with lab users to analyze biomedical data and address clinical needs using bioinformatics techniques and tools

• Work with MCIIT and HPC team to provide current and future solutions for server, storage and other requirements.

Preferred Qualifications:

• Expert in creating customized sequencing analysis pipelines, in applications for data analysis, and executing standard bioinformatics pipelines (relevant examples in a Git Hub repository).

• Basic knowledge and understanding of software engineering concepts

• Knowledge of algorithms, data structures,…