Bioinformatics Software Engineer II

Memorial Sloan-Kettering Cancer Center-posted 9 months ago
$100,600 - $161,000/Yr
Hybrid • New York, NY
Ambulatory Health Care Services
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Exciting Opportunity at MSK: We are seeking a highly skilled and motivated Bioinformatic Software Engineer to join our research team. The successful candidate will be responsible for the analysis, integration, and interpretation of large-scale proteomic datasets. The candidate will collaborate closely with biologists, data scientists, and other researchers to support the discovery of novel biological insights and to advance our understanding of protein function and interaction networks.

  • Analyze and interpret large-scale proteomic datasets, including mass spectrometry (MS) data.
  • Develop, implement, and optimize bioinformatics pipelines for proteomics, including protein identification, quantification, post-translational modification (PTM) and immunopeptidomic analysis.
  • Integrate proteomic data with other omics datasets (e.g., genomics, transcriptomics) for comprehensive biological insights.
  • Collaborate with experimental scientists to design proteomics experiments and validate bioinformatics findings.
  • Apply statistical analysis and data visualization techniques to interpret complex biological data.
  • Maintain and update databases, ensuring data integrity and accessibility.
  • Stay up to date with the latest advancements in bioinformatics tools, algorithms, and proteomics research.
  • Prepare detailed technical reports, manuscripts, and presentations for internal and external stakeholders.
  • Ph.D. or M.Sc. in Bioinformatics, Computational Biology, Proteomics, or a related field.
  • Expertise in analyzing proteomic datasets.
  • Proficiency in bioinformatics tools and software for proteomics (e.g., MaxQuant, Proteome Discoverer, Spectronaut, Skyline).
  • Experience with programming languages such as Python, R, or similar, for data analysis and pipeline development.
  • Familiarity with statistical methods for large-scale data analysis.
  • Understanding of protein biology, including protein structure, function, and post-translational modifications.
  • Experience integrating multi-omics data (e.g., genomics, transcriptomics) is a plus.
  • Experience with cloud computing environments for large-scale data analysis.
  • Knowledge of machine learning approaches in proteomics.
  • A track record of peer-reviewed publications in proteomics or bioinformatics.
  • MSK Compensation Philosophy
  • Great benefits offerings
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