Albert Einstein College of Medicine
Bioinformatics Analyst – Proteomics & Multi‑Omics
Albert Einstein College of Medicine, Department of Biochemistry & Proteomics Core
We are seeking a motivated and detail-oriented Bioinformatics Analyst to join the Sidoli Laboratory and Proteomics Core at the Albert Einstein College of Medicine. This entry‑level position offers the opportunity to work at the interface of experimental and computational biology, contributing to cutting‑edge biomedical research projects in aging, chromatin biology, cancer, metabolism, and single‑cell proteomics. The analyst will support data processing, analysis, and integration across proteomics, transcriptomics, and other high‑throughput biological datasets generated in close collaboration with research groups across the institution.
Position Responsibilities
Process, analyze, and visualize mass spectrometry‑based proteomics data (DDA, DIA, SILAC, single‑cell proteomics).
Develop and maintain reproducible computational pipelines using Python, R, and shell scripting.
Implement statistical and machine‑learning approaches for high‑dimensional data integration.
Collaborate with faculty, postdocs, and students to interpret results and generate mechanistic insights.
Maintain accurate documentation of analyses, workflows, and results for publication and reproducibility.
Support data management, including version control, large‑scale storage, and compliance with institutional data security policies.
Contribute to lab meetings, grant proposals, and manuscript preparation.
Qualifications Required:
Bachelor’s degree in Bioinformatics, Computational Biology, Computer Science, or related field.
Familiarity with proteomics or high‑throughput sequencing data analysis.
Basic programming skills in Python, R, or comparable languages.
Experience working in Unix/Linux environments and using version control (e.g., Git).
Analytical and problem‑solving skills.
Excellent communication and organizational abilities.
Preferred:
Experience with proteomics data analysis tools (e.g., MaxQuant, DIA‑NN, Spectronaut, Skyline) and/or RNA‑seq analysis frameworks.
Knowledge of statistical modeling and data visualization for biological applications.
Exposure to HPC clusters or cloud computing environments.
Familiarity with reproducible research practices (e.g., R Markdown, Jupyter, Docker/Singularity).
Minimum Salary Range: USD $60,000.00 / Yr.
Maximum Salary Range: USD $65,000.00 / Yr.
Seniority Level: Entry level
Employment Type: Full‑time
Job Function: Research, Analyst, and Information Technology
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We are seeking a motivated and detail-oriented Bioinformatics Analyst to join the Sidoli Laboratory and Proteomics Core at the Albert Einstein College of Medicine. This entry‑level position offers the opportunity to work at the interface of experimental and computational biology, contributing to cutting‑edge biomedical research projects in aging, chromatin biology, cancer, metabolism, and single‑cell proteomics. The analyst will support data processing, analysis, and integration across proteomics, transcriptomics, and other high‑throughput biological datasets generated in close collaboration with research groups across the institution.
Position Responsibilities
Process, analyze, and visualize mass spectrometry‑based proteomics data (DDA, DIA, SILAC, single‑cell proteomics).
Develop and maintain reproducible computational pipelines using Python, R, and shell scripting.
Implement statistical and machine‑learning approaches for high‑dimensional data integration.
Collaborate with faculty, postdocs, and students to interpret results and generate mechanistic insights.
Maintain accurate documentation of analyses, workflows, and results for publication and reproducibility.
Support data management, including version control, large‑scale storage, and compliance with institutional data security policies.
Contribute to lab meetings, grant proposals, and manuscript preparation.
Qualifications Required:
Bachelor’s degree in Bioinformatics, Computational Biology, Computer Science, or related field.
Familiarity with proteomics or high‑throughput sequencing data analysis.
Basic programming skills in Python, R, or comparable languages.
Experience working in Unix/Linux environments and using version control (e.g., Git).
Analytical and problem‑solving skills.
Excellent communication and organizational abilities.
Preferred:
Experience with proteomics data analysis tools (e.g., MaxQuant, DIA‑NN, Spectronaut, Skyline) and/or RNA‑seq analysis frameworks.
Knowledge of statistical modeling and data visualization for biological applications.
Exposure to HPC clusters or cloud computing environments.
Familiarity with reproducible research practices (e.g., R Markdown, Jupyter, Docker/Singularity).
Minimum Salary Range: USD $60,000.00 / Yr.
Maximum Salary Range: USD $65,000.00 / Yr.
Seniority Level: Entry level
Employment Type: Full‑time
Job Function: Research, Analyst, and Information Technology
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