[Hiring] Bioinformatics Analyst @Albert Einstein College of Medicine
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
We are seeking a highly motivated Bioinformatics Analyst to join the research group of Dr. Robert Burk at Albert Einstein College of Medicine. This role is central to translating large-scale sequencing datasets into rigorous, publication-ready results with direct relevance to chronic disease, cancer prevention, and infectious disease research.
• Pipeline development and leadership: Design, implement, document, and maintain end-to-end NGS pipelines for microbiome and HPV genomics applications.
• Large-scale data processing: Perform robust QC, read processing, reference alignment, taxonomic and functional profiling, strain-level analyses, and reproducible reporting for cohort-scale datasets.
• Clinical and epidemiologic integration: Harmonize sequencing outputs with clinical and epidemiologic metadata, perform data cleaning and validation, and generate analysis-ready tables.
• Statistical and computational analysis: Conduct and interpret statistical analyses using R and/or Python, including microbiome-specific methods and epidemiologic modeling.
• Project leadership and communication: Lead defined analysis workstreams, set realistic milestones, communicate risks and dependencies early, and present progress and results in lab meetings and to collaborators.
• Troubleshooting and optimization: Diagnose and resolve complex issues, improve robustness, scalability, and runtime efficiency on shared compute environments.
• Reproducibility and best practices: Use version control, structured documentation, and reproducible execution practices.
• Scientific contribution: Propose fresh analytic ideas, evaluate new tools and methods, and contribute to interpretation and narrative framing of findings.
• Manuscripts and grants: Contribute figures, methods text, and analyses for manuscripts and grant applications.
Qualifications
• Bachelor’s degree in bioinformatics, computational biology, biostatistics, epidemiology, computer science, or a related field; Master’s or PhD preferred.
• Strong programming ability in R and/or Python, plus comfort working in a Unix/Linux environment.
• Demonstrated experience processing and analyzing NGS data, including building or extending pipelines.
• Solid understanding of basic statistical concepts and the ability to translate scientific questions into appropriate analyses.
• Track record of independent problem solving, attention to detail, and producing reliable, well-documented outputs.
• Strong communication skills and a collaborative mindset for working with interdisciplinary teams.
Requirements
• Experience in microbiome bioinformatics and/or viral genomics with familiarity with phylogenetics.
• Experience working with protected clinical or epidemiologic data and with best practices for data security and governance.
• Experience analyzing large cohorts and handling confounding, batch effects, and complex study designs.
• Comfort translating analyses into clear figures, methods, and results text suitable for high-impact manuscripts.
• Practical experience with bioinformatics work and a proactive attitude towards learning and applying new methods and technologies.
Benefits
• In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is listed below.
• Maximum Salary Range: USD $65,000.00/Yr.
Apply tot his job
Apply To this Job
Role Description
We are seeking a highly motivated Bioinformatics Analyst to join the research group of Dr. Robert Burk at Albert Einstein College of Medicine. This role is central to translating large-scale sequencing datasets into rigorous, publication-ready results with direct relevance to chronic disease, cancer prevention, and infectious disease research.
• Pipeline development and leadership: Design, implement, document, and maintain end-to-end NGS pipelines for microbiome and HPV genomics applications.
• Large-scale data processing: Perform robust QC, read processing, reference alignment, taxonomic and functional profiling, strain-level analyses, and reproducible reporting for cohort-scale datasets.
• Clinical and epidemiologic integration: Harmonize sequencing outputs with clinical and epidemiologic metadata, perform data cleaning and validation, and generate analysis-ready tables.
• Statistical and computational analysis: Conduct and interpret statistical analyses using R and/or Python, including microbiome-specific methods and epidemiologic modeling.
• Project leadership and communication: Lead defined analysis workstreams, set realistic milestones, communicate risks and dependencies early, and present progress and results in lab meetings and to collaborators.
• Troubleshooting and optimization: Diagnose and resolve complex issues, improve robustness, scalability, and runtime efficiency on shared compute environments.
• Reproducibility and best practices: Use version control, structured documentation, and reproducible execution practices.
• Scientific contribution: Propose fresh analytic ideas, evaluate new tools and methods, and contribute to interpretation and narrative framing of findings.
• Manuscripts and grants: Contribute figures, methods text, and analyses for manuscripts and grant applications.
Qualifications
• Bachelor’s degree in bioinformatics, computational biology, biostatistics, epidemiology, computer science, or a related field; Master’s or PhD preferred.
• Strong programming ability in R and/or Python, plus comfort working in a Unix/Linux environment.
• Demonstrated experience processing and analyzing NGS data, including building or extending pipelines.
• Solid understanding of basic statistical concepts and the ability to translate scientific questions into appropriate analyses.
• Track record of independent problem solving, attention to detail, and producing reliable, well-documented outputs.
• Strong communication skills and a collaborative mindset for working with interdisciplinary teams.
Requirements
• Experience in microbiome bioinformatics and/or viral genomics with familiarity with phylogenetics.
• Experience working with protected clinical or epidemiologic data and with best practices for data security and governance.
• Experience analyzing large cohorts and handling confounding, batch effects, and complex study designs.
• Comfort translating analyses into clear figures, methods, and results text suitable for high-impact manuscripts.
• Practical experience with bioinformatics work and a proactive attitude towards learning and applying new methods and technologies.
Benefits
• In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is listed below.
• Maximum Salary Range: USD $65,000.00/Yr.
Apply tot his job
Apply To this Job