Senior Bioinformatics Programmer Onsite Diagnostics

NYU Grossman School of Medicine

New York (NY)

Hybrid

USD 84,577 - 105,039

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits and wellness package
Generous time-off program
Holistic employee wellness program

Job summary

NYU Grossman School of Medicine seeks a Senior Bioinformatics Programmer to enhance clinical diagnostics workflows. This onsite position allows potential hybrid work after an initial 6 months, requiring presence 3-5 days a week.

The ideal candidate has extensive experience with bioinformatics pipelines, programming skills in Python and R, and proficiency in tools like Nextflow and Docker. The role involves analyzing genomic data and supporting clinical needs within a collaborative and multidisciplinary team.

Qualifications

  • M.Sc. plus minimum of 3 years' experience in bioinformatics or closely related field.
  • Experience with NGS data and bioinformatics tools.
  • Strong programming skills in Python, R, and shell scripting.

Responsibilities

  • Develop and enhance automated workflows for bioinformatics tools using next generation sequencing data.
  • Oversee systems support and develop new pipelines for molecular assays.
  • Perform quality control and develop solutions for data performance.

Skills

Bioinformatics pipeline development
Nextflow
Python
R
SQL
Understanding of algorithms and data structures

Education

M.Sc. in Bioinformatics, Computer Science, or related field

Tools

Docker
Django
AWS
GCP

Job description

NYU Grossman School of Medicine seeks a Senior Bioinformatics Programmer to enhance clinical diagnostics workflows. This onsite position allows potential hybrid work after an initial 6 months, requiring presence 3-5 days a week.

The ideal candidate has extensive experience with bioinformatics pipelines, programming skills in Python and R, and proficiency in tools like Nextflow and Docker. The role involves analyzing genomic data and supporting clinical needs within a collaborative and multidisciplinary team.

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