Senior Bioinformatics Programmer

Location: New York



Research -- Basic Science/Technical New York •
:

• Full-Time/RegularNYU 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.

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Position Summary:

The Petljak Lab is seeking a highly motivated and creative Senior Bioinformatics Programmer to join our multidisciplinary team within the newly established Cancer Genomics & Genetics Program at NYU Grossman School of Medicine. This is a highly collaborative, fast-paced, and scientifically engaged position suited to someone who thrives in an ambitious research environment, takes strong ownership of their work, and is motivated to drive projects forward.

The position offers exposure to leading experts and collaborations across cancer biology, genomics, computational biology, and related disciplines.

The Petljak Labs research sits at the intersection of computational and experimental biology, cancer genomics, mutagenesis, and tumor evolution, with the goal of understanding how mutational processes arise and shape cancer development and therapeutic responseand using these insights to identify new opportunities for cancer prevention and treatment. Our work builds on recent studies deconvoluting mutational signatures from cancer genomes and using them as molecular readouts to identify the sources, mechanisms, and functional consequences of individual mutational processes (Cell, 2019;

Nature, 2023; Nature Genetics, 2023; Cell Trends In Cancer, 2026).The successful candidate will become a lead computational scientist within the lab, working closely with experimental scientists and clinical collaborators across multiple cancer genomics projects involving both patient specimens and experimental model systems. The core of the position is bioinformatics and computational analysis across the laboratorys research projects, primarily conducted within a high-performance computing (HPC) environment, with two main areas of focus:
1) analysis and interpretation of next-generation sequencing and large-scale genomic datasets, together with the development, execution, and maintenance of robust, reproducible analytical pipelines and workflows for these data types, including but not limited to whole-genome sequencing, whole-exome sequencing, RNA sequencing, and single-molecule/duplex DNA sequencing; and
2) development and implementation of creative computational approaches for specialized analyses across diverse datasets generated by cutting-edge experimental platforms and multimodal studies. Examples include custom genomic analyses, quantitative analysis of live-cell imaging data, and integration of genomic readouts with patient clinical features, environmental exposures, and other molecular and phenotypic data. Interest in thoughtfully evaluating and applying emerging AI-enabled tools to improve the efficiency, usability, and reproducibility of bioinformatics workflows and research operations is welcomed.

Supporting these core analytical responsibilities, the candidate will take…