NYU Langone Health
Bioinformatics Programmer Molecular Diagnostics
NYU Langone Health, New York, New York, us, 10261
NYU Grossman School of Medicine, part of NYU Langone Health, is a top-ranked medical institution with a rich history of training physicians and scientists. We prioritize equity, inclusion, and fostering an environment where talented individuals of all backgrounds can thrive.
We are seeking a
Bioinformatics Programmer/Analyst
to join our Molecular Diagnostics team, working within a Clinical Genomics and Precision Medicine environment. The role involves analyzing next-generation sequencing (NGS) data in a CLIA/CLEP and FDA-compliant setting, supporting the development and validation of clinical assays, and working on cutting-edge NGS-based diagnostics for cancer and other diseases. You will collaborate with experienced laboratory and bioinformatics scientists at NYU Langone Health. This position offers a valuable opportunity to develop high-demand bioinformatics skills, create new analysis tools, and contribute to precision medicine initiatives that benefit patients. Key Responsibilities: Analyze clinical sequencing data using established workflows. Develop and apply novel analysis approaches for variant prioritization. Benchmark and improve sequencing analysis tools. Support validation experiments for laboratory developed tests. Implement and execute analysis pipelines with Nextflow and Singularity Containers. Assist in preparing data, figures, and manuscripts for case analysis and validation proposals. Perform quality control on sequencing data. Maintain variant databases and annotations.
Minimum Qualifications:
M.Sc. in a relevant field with at least 1 year of experience in cancer or hereditary disease NGS analysis or related biomedical bioinformatics. Strong programming skills in Python, R, and shell scripting. Basic understanding of human genetics. Experience with software tools for FASTQ, BAM, VCF files (e.g., BWA, GATK, Picard, samtools, bcftools). Knowledge of SNV, Indel, CNV, structural variants, and variant annotation. Familiarity with NGS QC principles and public genomics datasets. Detail-oriented, organized, and interested in clinical genomics. Excellent communication skills and team-oriented mindset. This is an onsite role for at least 6 months, with potential for hybrid work based on performance. No fully remote work available currently.
Preferred Qualifications:
Experience in a CLIA environment. Experience with variant calling benchmarking and validation. Linux environment experience, including with SGE. Experience with cloud workflows (GCP/AWS). Database development and querying (SQL). Web development skills (HTML, CSS, JavaScript, TypeScript).
We offer comprehensive benefits, wellness programs, and a supportive work environment. Our salary range for this role is $67,771.14 - $75,955.36 annually, depending on experience and qualifications. Applications must be submitted online. NYU Grossman School of Medicine is an equal opportunity employer committed to inclusion. Know Your Rights: Workplace discrimination is illegal. #J-18808-Ljbffr
Bioinformatics Programmer/Analyst
to join our Molecular Diagnostics team, working within a Clinical Genomics and Precision Medicine environment. The role involves analyzing next-generation sequencing (NGS) data in a CLIA/CLEP and FDA-compliant setting, supporting the development and validation of clinical assays, and working on cutting-edge NGS-based diagnostics for cancer and other diseases. You will collaborate with experienced laboratory and bioinformatics scientists at NYU Langone Health. This position offers a valuable opportunity to develop high-demand bioinformatics skills, create new analysis tools, and contribute to precision medicine initiatives that benefit patients. Key Responsibilities: Analyze clinical sequencing data using established workflows. Develop and apply novel analysis approaches for variant prioritization. Benchmark and improve sequencing analysis tools. Support validation experiments for laboratory developed tests. Implement and execute analysis pipelines with Nextflow and Singularity Containers. Assist in preparing data, figures, and manuscripts for case analysis and validation proposals. Perform quality control on sequencing data. Maintain variant databases and annotations.
Minimum Qualifications:
M.Sc. in a relevant field with at least 1 year of experience in cancer or hereditary disease NGS analysis or related biomedical bioinformatics. Strong programming skills in Python, R, and shell scripting. Basic understanding of human genetics. Experience with software tools for FASTQ, BAM, VCF files (e.g., BWA, GATK, Picard, samtools, bcftools). Knowledge of SNV, Indel, CNV, structural variants, and variant annotation. Familiarity with NGS QC principles and public genomics datasets. Detail-oriented, organized, and interested in clinical genomics. Excellent communication skills and team-oriented mindset. This is an onsite role for at least 6 months, with potential for hybrid work based on performance. No fully remote work available currently.
Preferred Qualifications:
Experience in a CLIA environment. Experience with variant calling benchmarking and validation. Linux environment experience, including with SGE. Experience with cloud workflows (GCP/AWS). Database development and querying (SQL). Web development skills (HTML, CSS, JavaScript, TypeScript).
We offer comprehensive benefits, wellness programs, and a supportive work environment. Our salary range for this role is $67,771.14 - $75,955.36 annually, depending on experience and qualifications. Applications must be submitted online. NYU Grossman School of Medicine is an equal opportunity employer committed to inclusion. Know Your Rights: Workplace discrimination is illegal. #J-18808-Ljbffr