[Hiring] Bioinformatics Analyst @Albert Einstein College of Medicine
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.