RESEARCH DATA ANALYST,MED School of Medicine, Genetics, Molecular Medicine

Job description

RESEARCH DATA ANALYST,MED School of Medicine, Genetics, Molecular Medicine

Tracking Code2097 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 use large datasets and investigate the etiologies and risk factors of Alzheimer disease. You will join a group of hardworking and motivated team members for this mission. The successful applicant will implement various bioinformatic analysis strategies for multiple ongoing and emerging epidemiology, genetics and genomics projects in Alzheimer Disease in a highly collaborative environment; advise 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
  • Programming and scripting skills in R and Python/Perl
  • Statistical analysis skills preferred but not required
  • Familiar with GWAS study preferred, but not required
  • Three years relevant work or graduate education experience in Linux/Unix environment
  • Some biology background
  • Skill of technique writing
  • Motivation for collaboration and sufficient interpersonal skills

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

Job Location Boston, Massachusetts, United StatesPosition TypeFull-Time/Regular




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Job No:
Posted: 1/12/2019
Application Due: 4/14/2021
Work Type: Full Time