Bioinformatics Data Analyst I / Day / 40 Hours / BWH Neurology

Brigham And Women's Hospital Boston , MA 02298

Posted 2 months ago

A bioinformatics data analyst position is available in the laboratory of Howard at Brigham and Woman's Hospital, Harvard Medical School. Looking for an applicant with experience with analyzing high-throughput gene expression data, including differential gene expression analysis and pathway analysis. The Weiner laboratory studies the immunologic mechanisms of neurodegenerative diseases with the ultimate goal of identifying novel therapeutic targets, as well as has several investigations relating to basic immunology and the microbiome. We utilize a range of genomic tools in order to analyze in vitro and in vivo experimental models and human samples. The Weiner lab is a highly collaborative environment studying multiple diseases, including multiple sclerosis, Alzheimer's disease, glioblastoma, and traumatic brain injury. The applicant would interface with the group by analyzing gene expression and microbiome data related to these disorders. Strong computational, organizational, and communication skills are desired for this position.


  • Analyze and integrate RNA-Seq and ChIP-Seq data

  • Analyze microbiome sequencing data

  • Preform complete data validation and error detection; ensuring data security, integrity measures are met. Discuss with researchers to discuss results, analysis direction prior to project.

  • Maintaining an active role in research of the current trends in analysis methods, programming algorithms and using new technologies to prototype future developments

  • Contribute in the preparation of scientific methods for manuscripts detailing methods and design; Presentations of results or new tools for the department.

  • Performs all other duties/responsibilities as directed.


Bachelors required. MSc or PhD in Computer Science, Mathematics in a biological science or relevant field recommended.


  • Experience with statistical analysis for differential gene expression and mapping to biologic pathways

  • Ability to apply statistical and machine learning techniques to solve 'big data' problems

  • Ability to analyze single cell expression data

  • Good organizational skills, detail oriented

  • Experience in Programing with MATLAB, R, Python and/or Java that focus on computational biological applications

  • Experience with common bioinformatics and genomic browsers [NCBI, Genbank, UCSC

  • Understanding the user of bioinformatics tools including common NGS tools [BWA, samtools, GATK]

  • Ability to work in a highly collaborative and intellectually challenging environment

  • Ability to demonstrate professionalism

  • Ability to demonstrate critical thinking and creative problem-solving abilities

  • Ability to prepare manuscripts for presentation and publication

  • Must work independently

  • Excellent oral and written communication skills

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