Base: up to $65,000.00 py; bonus/equity: not speci...
Remote
Bachelor's degree in bioinformatics or related field
Strong programming ability in r and python
Experience with unix/linux environment and shell scripting
The Albert Einstein College of Medicine is seeking a Bioinformatics Analyst to support research in molecular epidemiology and microbiome studies, focusing on translating sequencing datasets into publishable results. The ideal candidate will have a strong programming background, experience in analyzing NGS data, and the ability to collaborate effectively with interdisciplinary teams
Job Summary
The role involves designing and maintaining end-to-end NGS pipelines for microbiome and HPV genomics applications.
Candidates will translate large-scale sequencing datasets into rigorous, publication-ready results relevant to chronic disease and cancer prevention.
The position requires collaborating with wet lab and epidemiology teams to drive projects forward from raw data to interpretable outputs.
Matching Summary
Match Score: 85
The Albert Einstein College of Medicine is seeking a Bioinformatics Analyst to support research in molecular epidemiology and microbiome studies, focusing on translating sequencing datasets into publishable results. The ideal candidate will have a strong programming background, experience in analyzing NGS data, and the ability to collaborate effectively with interdisciplinary teams.
Salary
Base: Up to $65,000.00 per year; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Bachelor's degree in bioinformatics or related field
Strong programming ability in R and Python
Experience with Unix/Linux environment and shell scripting
Proven experience building NGS pipelines from scratch
Ability to perform statistical analysis using R or Python
Nice-to-have
Experience with microbiome bioinformatics methods
Familiarity with viral genomics and phylogenetics
Track record of publishing in high-impact journals
Experience handling protected clinical data security
Proactive attitude towards learning new bioinformatics tools
Key Requirements
Master's or PhD preferred
Demonstrated experience processing and analyzing NGS data
Solid understanding of basic statistical concepts
Independent problem-solving skills and attention to detail