Computational Scientist - Hematology & Medical Oncology

Mount Sinai Health System•New York, NY

About The Position

The Computational Scientist I will develop and maintain scalable, modular bioinformatics pipelines for antigen discovery and prioritization, and integrative analysis of genomic (e.g., WES/WGS), transcriptomic (e.g., RNA-seq), and proteomic (e.g., mass spectrometry) data. The role focuses on building reproducible, end-to-end computational workflows for processing, analyzing, and interpreting high-throughput multi-omic datasets in a cancer immunogenomics setting. The role will contribute to development of computational platforms supporting translational cancer immunotherapy research, with applications in clinical trial settings for the design of personalized and shared (off-the-shelf) vaccine strategies. The candidate will join a multidisciplinary team with extensive experience in computational immunogenomics and translational cancer research. The group has developed and applied the OpenVax platform in support of multiple clinical trial efforts focused on cancer vaccine strategies. Working closely with this team, the Computational Scientist will contribute to extending existing capabilities, introducing new computational functionality, and advancing the development of next-generation analytical workflows and platforms. The position involves working with next-generation sequencing and proteomic datasets to perform data processing, quality control, and integrative analysis. The individual will design, implement, and maintain modular pipeline components across data processing, analysis, and reporting layers, ensuring scalability, reproducibility, and portability across computational environments.

Requirements

Experience with genomic (e.g., WES/WGS), transcriptomic (e.g., RNA-seq), and proteomic (e.g., mass spectrometry) data.
Experience in building reproducible, end-to-end computational workflows.
Experience in processing, analyzing, and interpreting high-throughput multi-omic datasets.
Experience in a cancer immunogenomics setting.
Experience in designing, implementing, and maintaining modular pipeline components.
Experience ensuring scalability, reproducibility, and portability across computational environments.
Experience with next-generation sequencing and proteomic datasets.
Experience with data processing, quality control, and integrative analysis.

Nice To Haves

Experience with the OpenVax platform.
Experience in clinical trial settings.
Experience in the design of personalized and shared (off-the-shelf) vaccine strategies.

Responsibilities

Develop and maintain scalable, modular bioinformatics pipelines for antigen discovery and prioritization.
Perform integrative analysis of genomic, transcriptomic, and proteomic data.
Build reproducible, end-to-end computational workflows for processing, analyzing, and interpreting high-throughput multi-omic datasets.
Contribute to the development of computational platforms supporting translational cancer immunotherapy research.
Design, implement, and maintain modular pipeline components across data processing, analysis, and reporting layers.
Ensure scalability, reproducibility, and portability of computational workflows across environments.
Perform data processing, quality control, and integrative analysis of next-generation sequencing and proteomic datasets.