Bioinformatics Analyst
Bioinformatics Analyst
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Job Description
POSITION RESPONSIBILITIES
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 critical to supporting our ongoing molecular epidemiology and microbiome research with a strong emphasis on human papillomavirus (HPV)related neoplasia and the human microbiome (gut oral and cervicovaginal). The successful candidate will contribute to projects that have been published in highimpact journals such as Nature Communications and CELL.
The ideal candidate will have a strong background in bioinformatics epidemiology computational biology or a related discipline and possess demonstrated experience processing nextgeneration sequencing (NGS) data. This position provides an opportunity to work at the intersection of genomics microbiome research and epidemiology with direct implications for cancer prevention and infectious disease research.
Key Responsibilities:
- NGS Data Analysis: Process and analyze highthroughput sequencing data (e.g. amplicon sequencing bisulfite sequencing metagenomics viral integration and develop bioinformatics pipelines.
- Epidemiological Data Integration: Apply bioinformatics methodologies to study hostpathogen interactions microbial communities and genomic variations in largescale epidemiological cohorts.
- Phylogenetics & Evolutionary Analysis: Perform phylogenetic tree construction and genomic epidemiology studies for HPV and other microbiomerelated investigations.
- Data Management & Security: Organize manage and curate sequencing datasets ensuring compliance with clinical data protection and security best practices.
- Computational & Statistical Analysis: Utilize R Python or other computational tools to perform statistical analyses epidemiological modeling and data visualization.
- CrossDisciplinary Collaboration: Work closely with molecular biologists epidemiologists and computational scientists to integrate findings into broader translational research efforts.
- Reporting & Presentation: Present findings in lab meetings scientific conferences and highimpact publications.
- Grant & Manuscript Preparation: Contribute to research proposals and manuscript writing to support ongoing and new projects.
QUALIFICATIONS
- Education: Bachelors degree required; Masters or Ph.D. in bioinformatics computational biology epidemiology or related fields preferred.
- Technical Skills:
- Proficiency in R Python or similar languages for data analysis.
- Experience with NGS data processing microbiome bioinformatics 16S ITS1 shotgun metagenomics) and HPV genomics.
- Familiarity with machine learning/statistical modeling techniques in epidemiology is a plus.
- ProblemSolving & Innovation: Strong analytical and critical thinking skills with a proactive approach to problemsolving in bioinformatics and epidemiology.
- Communication & Collaboration: Ability to work in a highly interdisciplinary team and clearly communicate complex findings.
Why Join Us
- Work on cuttingedge molecular epidemiology and microbiome research with direct public health impact.
- Collaborate with leading experts in bioinformatics genomics and epidemiology.
- Be part of projects published in toptier journals such as Nature Communications and CELL.
- Career development opportunities including conference participation grant writing experience and authorship on highimpact publications.
If you are a bioinformatics scientist eager to apply computational approaches to epidemiological and microbiome research we encourage you to apply!
Minimum Salary Range
Maximum Salary Range
Required Experience:
IC
Employment Type
Full-Time
