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Bioinformatics Analyst
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Job Description
- Req#: 17914
Employer Industry: Academic Research in Bioinformatics
Why consider this job opportunity:
- Salary up to $65,000.00 per year
- Opportunity for career advancement and growth within the organization
- Collaborative and interdisciplinary work environment
- Chance to contribute to high-impact research published in leading scientific journals
- Engage in innovative projects that have direct relevance to chronic disease, cancer prevention, and infectious disease research
- Work with cutting-edge bioinformatics methods and technologies
What to Expect (Job Responsibilities):
- Design, implement, document, and maintain end-to-end NGS pipelines for microbiome and HPV genomics applications
- Perform robust quality control, read processing, reference alignment, and generate analysis-ready tables
- Conduct and interpret statistical analyses using R and/or Python, including microbiome-specific methods and epidemiologic modeling
- Lead analysis workstreams, set realistic milestones, and present progress and results to collaborators
- Troubleshoot complex issues, improve pipeline robustness, and maintain reproducibility best practices
What is Required (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, with experience in a Unix/Linux environment
- Demonstrated experience processing and analyzing NGS data, including building or extending pipelines
- Solid understanding of basic statistical concepts and ability to translate scientific questions into analyses
- Strong communication skills and a collaborative mindset for working with interdisciplinary teams
How to Stand Out (Preferred Qualifications):
- Experience in microbiome bioinformatics and/or viral genomics with familiarity with phylogenetics or integration-related analyses
- Experience working with protected clinical or epidemiologic data and best practices for data security
- Experience analyzing large cohorts and handling complex study designs
- Comfort translating analyses into clear figures, methods, and results text for high-impact manuscripts
#Bioinformatics #ResearchOpportunity #NGS #DataAnalysis #CareerGrowth #InterdisciplinaryCollaboration
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