Sr. Bioinformatics Developer (Cancer Genomics)

Location: NYU Grossman School of Medicine, United States

Salary: $84,577.93–$135,224.49 annually

Company

hirify.global is an academic medical center focused on medical education, scientific research, and direct patient care.

What you will do

• Design, develop, and implement end-to-end pipelines for harmonizing molecular testing data from Foundation Medicine, Guardant Health, Tempus, and in-house platforms.
• Process VCF, XML, and BAM files across somatic, germline, liquid biopsy, and solid tumor testing workflows.
• Convert vendor-specific data into standardized formats, map variants using HGVS nomenclature, and implement annotation and validation workflows.
• Build automated pipelines that load genomic data into cBioPortal, OMOP-CDM genomics extensions, Tableau, and other analytics platforms.
• Support precision medicine, translational research, clinical trial matching, biomarker discovery, and AI/ML-based risk assessment initiatives.
• Lead requirements analysis, architecture design, technical documentation, production deployment, training, and knowledge transfer.

Requirements

• Master’s degree in Bioinformatics, Computational Biology, Computer Science, or a related field; PhD preferred.
• 5+ years of hands-on experience developing bioinformatics pipelines for genomic data processing.
• Expert Python skills and strong experience with VCF, BAM, XML, variant annotation, HGVS, and clinical cancer genomics data.
• Demonstrated experience with cBioPortal data integration, data models, file formats, loading, and validation.
• Proficiency with SQL and relational databases such as MySQL or PostgreSQL, plus Git/GitHub and collaborative software development.
• Knowledge of OMOP Common Data Model concepts, clinical molecular testing, precision medicine, and translational research.

Nice to have

• Experience with Nextflow, Snakemake, Apache Airflow, Docker, Kubernetes, Java, cloud platforms, or Tableau.
• Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Knowledge of R, pandas, SciPy, OncoKB, CIViC, ClinVar, pharmacogenomics, and targeted therapy selection.

Culture & Benefits

• Work within an academic medical center supporting medical education, scientific research, and patient care.
• Access to comprehensive benefits and wellness programs covering financial, physical, mental, nutritional, sleep, social, and preventive care.
• Generous time-off programs, employee resource groups, retirement support, and family-oriented resources.
• Inclusive workplace committed to equity, inclusion, and equal employment opportunity.