Job ID: 3032741
Job date: 2017-01-25
End Date:
Company : Massachusetts General Hospital Country : Role : Research Scientist
Job date: 2017-01-25
End Date:
Company : Massachusetts General Hospital Country : Role : Research Scientist
Job Description:
A position is open for a full-time bioinformatician at the Ragon Institute of MGH, Harvard and MIT. The candidate will perform computational analysis of data generated from HIV patient specimens. Knowledge gained from these studies will inform the design of more effective vaccines and treatments against HIV. Job Duties: Under the direction of the principal investigator and collaborating bench scientists, and with guidance from other computational biologists at the Ragon Institute, the candidate will develop and implement analytical pipelines for the analysis of high-throughput assay data including single-cell and population RNA-seq, atomic-resolution protein structure data, and high-dimensional flow and mass cytometry. In addition to communicating methods and results to lab members and collaborators, the candidate will be expected to contribute to manuscript preparation. The candidate will contribute to multiple projects with the goal of improving our understanding of human immunology and enabling the development of novel HIV therapies. Specific responsibilities include the following: 1.Analysis -Advise bench scientists as they design experiments to produce robust data sets that are amenable to analysis and statistical testing. -Communicate with collaborators to understand and develop requirements and specifications for analysis. -Develop reproducible pipeline for data analysis of specific assay data (e.g., single-cell RNA-Seq). -Integrate multiple data types using system approaches for generating novel biological insights. -Write detailed reports to be used to disseminate results to collaborators and prepare manuscripts. 2.Data management and high performance computing -Implement creative solutions for large volume data management challenges (e.g. databases) -Create reusable high performance computing solutions for processing large data sets (e.g. write specific parallel code or scripts to send multiple jobs to a queue) Qualifications: Minimum Qualifications: -Bachelor’s or Master’s degree with 2 or more years of demonstrated bioinformatics or computational biology experience. -Proficiency in R and a scripting language (Python especially preferred). -Familiarity with high performance computing and computing clusters. Preferred Qualifications: -Prior experience with single-cell RNA-seq analysis strongly preferred. -Familiarity with network analysis. -Familiarity with bioinformatic databases, such as GEO, UCSC Genome Browser, and MSigDB; and workflows such as those within Galaxy and GenePattern. -Experience with version control tools (preferably Git). Expectations: -Demonstrate integrity, excellence, accountability, and teamwork in all interactions. -Good oral and written communication skills. -Ability to maintain organized, detailed, and up-to-date documentation. -Strong interest in human immunology and infectious disease research.
Additional Info:
The position is open immediately, although the start date is flexible. Unfortunately, due to the number of applications we receive, we may not be able to reply individually to all inquiries. All applicants must be able to come to Cambridge, MA USA for an interview. EEO Statement: Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged. [Click Here to Access the Original Job Post]
A position is open for a full-time bioinformatician at the Ragon Institute of MGH, Harvard and MIT. The candidate will perform computational analysis of data generated from HIV patient specimens. Knowledge gained from these studies will inform the design of more effective vaccines and treatments against HIV. Job Duties: Under the direction of the principal investigator and collaborating bench scientists, and with guidance from other computational biologists at the Ragon Institute, the candidate will develop and implement analytical pipelines for the analysis of high-throughput assay data including single-cell and population RNA-seq, atomic-resolution protein structure data, and high-dimensional flow and mass cytometry. In addition to communicating methods and results to lab members and collaborators, the candidate will be expected to contribute to manuscript preparation. The candidate will contribute to multiple projects with the goal of improving our understanding of human immunology and enabling the development of novel HIV therapies. Specific responsibilities include the following: 1.Analysis -Advise bench scientists as they design experiments to produce robust data sets that are amenable to analysis and statistical testing. -Communicate with collaborators to understand and develop requirements and specifications for analysis. -Develop reproducible pipeline for data analysis of specific assay data (e.g., single-cell RNA-Seq). -Integrate multiple data types using system approaches for generating novel biological insights. -Write detailed reports to be used to disseminate results to collaborators and prepare manuscripts. 2.Data management and high performance computing -Implement creative solutions for large volume data management challenges (e.g. databases) -Create reusable high performance computing solutions for processing large data sets (e.g. write specific parallel code or scripts to send multiple jobs to a queue) Qualifications: Minimum Qualifications: -Bachelor’s or Master’s degree with 2 or more years of demonstrated bioinformatics or computational biology experience. -Proficiency in R and a scripting language (Python especially preferred). -Familiarity with high performance computing and computing clusters. Preferred Qualifications: -Prior experience with single-cell RNA-seq analysis strongly preferred. -Familiarity with network analysis. -Familiarity with bioinformatic databases, such as GEO, UCSC Genome Browser, and MSigDB; and workflows such as those within Galaxy and GenePattern. -Experience with version control tools (preferably Git). Expectations: -Demonstrate integrity, excellence, accountability, and teamwork in all interactions. -Good oral and written communication skills. -Ability to maintain organized, detailed, and up-to-date documentation. -Strong interest in human immunology and infectious disease research.
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Additional Info:
The position is open immediately, although the start date is flexible. Unfortunately, due to the number of applications we receive, we may not be able to reply individually to all inquiries. All applicants must be able to come to Cambridge, MA USA for an interview. EEO Statement: Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged. [Click Here to Access the Original Job Post]