The successful applicant will implement various bioinformatic analysis strategies for multiple ongoing and emerging epidemiology, genetics and genomics projects in Alzheimer's Disease in a highly collaborative environment; direct the development and maintenance of genome-wide association analysis (GWAS) and genomic analysis pipelines and the implementation of various analysis strategies; 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
Requirements:
BS, MS, or Ph.D. in bioinformatics, computational biology, biostatistics, or other quantitative discipline; Programming and scripting skills in R and Python/Perl; Statistical analysis skills preferred but not required; Familiar with NGS genomic data analysis including RNA-seq, regulatory expression networks, etc; Familiar with GWAS study preferred, but not required; Training in machine learning, statistical modeling a plus, but not required; Knowledge in RNA, non-coding RNA a plus, but not required
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BIOINFORMATICS DATA ANALYST, School of Medicine, Genetics, Molecular Med Tracking Code 22500558770413 Job Description The Biomedical Genetics Section in the Department of Medicine at Boston University School of Medicine (BUSM) is seeking to fill a full-time position requiring computer programming and data analysis skills. The project is a multi-disciplinary study to analyze large datasets including clinical, epidemiological, genetics and genomics from the Alzheimer's Disease Sequencing Project Functional Genomics Consortium (ADSP-FGC). We will investigate the etiologies and risk factors of Alzheimer's disease and potential drug targets. You will join a group of talented and motivated team members for this mission. New lab members have the option of being cross-trained to apply and develop computational frameworks for high-throughput, next generation sequencing (NGS) datasets (e.g. WES/WGS, bulk/single-cell Transcriptomic, Epigenomics, Proteomics and Metabonomics). The vibrant, multidisciplinary training environment will allow for learning the state-of-the-art in statistics modeling, genetics epidemiology, bulk/single cell genomics analysis/technologies and for close interactions with Biostatistician, Bioinformatician, Epidemiologist, Neuropathologist, clinical Neurologist and our collaborators at BUSM and the ADSP-FGC. The successful applicant will implement various bioinformatic analysis strategies for multiple ongoing and emerging epidemiology, genetics and genomics projects in Alzheimer's Disease in a highly collaborative environment; direct the development and maintenance of genome-wide association analysis (GWAS) and genomic analysis pipelines and the implementation of various analysis strategies; 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 Please include a cover letter sharing your research experience with your resume. BS, MS, or Ph.D. in bioinformatics, computational biology, biostatistics, or other quantitative discipline Programming and scripting skills in R and Python/Perl Statistical analysis skills preferred but not required. Familiar with NGS genomic data analysis including RNA-seq, regulatory expression networks, etc. Familiar with GWAS study preferred, but not required Training in machine learning, statistical modeling a plus, but not required Knowledge in RNA, non-coding RNA a plus, but not required Three years relevant work or graduate education experience in Linux/Unix environment. Team oriented with abilities to think creatively and work independently. Some biology backgrounds Skill of technique writing Motivation for team work and sufficient communication skills Please note all newly hired staff and faculty, will need to be in compliance with Boston University’s COVID-19 Vaccination and Booster Requirement within 30 days of date of hire. You must upload your vaccine documentation or request a medical or religious exemption ( instructions ). For further information on the University’s response to COVID-19, please visit the Back2BU site . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, 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. Job Location BOSTON, Massachusetts, United States Position Type Full-Time/Regular Salary Grade Grade 45
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