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Boston University DATA ANALYST II, School of Medicine, Genetics, Molecular Med in BOSTON, Massachusetts

This full-time position requires computer programming, data analysis, and machine learning skills. The successful candidate will develop and implement various bioinformatics analysis strategies for multiple ongoing and emerging epidemiology, genetics and genomics projects in Alzheimer’s Disease in a highly collaborative environment. This individual will direct the development and maintenance of genome-wide association analysis (GWAS), and responsible for the development and maintenance of analysis pipelines using multi-omics data publicly available and generated from our own lab including transcriptomics, epigenetics, proteomics, and metabolomeics data; and integrate into genetic analysis pipelines, e.g, eQTL, pQTL, etc. In addition, they will respond to requests for analysis from faculty, postdocs, and collaborators; train students, postdocs, and faculty in pipeline use; and test and utilize new software and tools, modifying them as needed to adapt to specific research needs.

Required Skills

Bachelor's degree with 1-3 years of experience.

Please note all newly hired staff and faculty will need to be in compliance with Boston University’s COVID-19 Vaccination and Booster Requirement (https://www.bu.edu/hr/hr-covid-19-resources/vaccine-required-for-faculty-and-staff/) within 30 days of date of hire. You must upload your vaccine documentation or request a medical or religious exemption ( instructions (https://www.bu.edu/hr/hr-covid-19-resources/upload-your-covid-vaccination-documentation/) ). For further information on the University’s response to COVID-19, please visit the COVID-19 Resources (https://www.bu.edu/buohc/covid-19/) site.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor .

Required Experience

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