Bioinformatics Software Engineer II

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe.

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.

Role Overview:

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.

Key Qualifications:

• 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.

Core Skills:

• 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.
• Strong problem-solving skills and ability to collaborate in a multidisciplinary team.
• Strong written and verbal communication skills.

Additional Information:

• Schedule: hybrid, 4 days onsite
• Location: 430 E. 67th Street, NYC (RRL)
• Reporting to: Director, Proteomics Innovation Laboratory

Pay Range: $100,600.00 - $161,000.00

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MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

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