Job ID: 137577
Job date: 2017-02-11
End Date:
Company : University of Michigan Country : Role : Research Scientist
Job date: 2017-02-11
End Date:
Company : University of Michigan Country : Role : Research Scientist
Job Description:
Responsibilities: -Adapt, perform, and interpret analyses for high-dimensional applied epigenetic, environmental, and genetic epidemiological analysis in large population studies. -Conduct literature reviews. Write data and analysis sections for working papers, reports, grants, and manuscripts for submission. Collaborate in the development of data presentations and posters for conferences and workshops. -Create and maintain clear and organized workflow documentation. Chronicle data management and analysis steps and annotate program files to ensure full transparency and reproducibility. -Perform regular maintenance of datasets including merging files, restructuring and recoding variables, and checking for errors. -Develop, prepare, and implement research plans to attain specific aims of multiple research projects. Consult with consortium members and collaborators to design and evaluate research projects. Required Qualifications: Bachelor degree in a related field of science. Education and work experience in statistical genetics, biostatistics, bioinformatics, genetic epidemiology, or equivalent. Programming experience in R. Working knowledge of Unix/Linux file system and environment. Familiarity with quantitative epidemiologic research methods. Highly motivated and organized, with excellent multi-tasking ability and record-keeping skills. Must be able to work independently and as part of a research team spanning multiple locations. Desired Qualifications: Experience with epigenetic or genetic analysis of large health science databases or studies. Prior experience with DNA methylation data cleaning and analysis using Bioconductor packages (minfi, limma, etc.) and/or gene expression data cleaning and analysis; genome-wide analyses using R, PLINK, and METAL software; analysis experience in SAS; programming experience in Python or other language. Demonstrated excellent interpersonal skills and communication skills. Master’s degree in public health or related field. 1-3 years of related analysis experience.
Additional Info:
This position is term-limited for one year commencing with the start date. Depending on the availability of funding, an extension of the position is possible. We are seeking an experienced and dynamic staff member with a commitment to contributing to a diverse, equitable, and inclusive environment for all members of our community. Background Screening: The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act. U-M EEO/AA Statement: The University of Michigan is an equal opportunity/affirmative action employer[Click Here to Access the Original Job Post]
Responsibilities: -Adapt, perform, and interpret analyses for high-dimensional applied epigenetic, environmental, and genetic epidemiological analysis in large population studies. -Conduct literature reviews. Write data and analysis sections for working papers, reports, grants, and manuscripts for submission. Collaborate in the development of data presentations and posters for conferences and workshops. -Create and maintain clear and organized workflow documentation. Chronicle data management and analysis steps and annotate program files to ensure full transparency and reproducibility. -Perform regular maintenance of datasets including merging files, restructuring and recoding variables, and checking for errors. -Develop, prepare, and implement research plans to attain specific aims of multiple research projects. Consult with consortium members and collaborators to design and evaluate research projects. Required Qualifications: Bachelor degree in a related field of science. Education and work experience in statistical genetics, biostatistics, bioinformatics, genetic epidemiology, or equivalent. Programming experience in R. Working knowledge of Unix/Linux file system and environment. Familiarity with quantitative epidemiologic research methods. Highly motivated and organized, with excellent multi-tasking ability and record-keeping skills. Must be able to work independently and as part of a research team spanning multiple locations. Desired Qualifications: Experience with epigenetic or genetic analysis of large health science databases or studies. Prior experience with DNA methylation data cleaning and analysis using Bioconductor packages (minfi, limma, etc.) and/or gene expression data cleaning and analysis; genome-wide analyses using R, PLINK, and METAL software; analysis experience in SAS; programming experience in Python or other language. Demonstrated excellent interpersonal skills and communication skills. Master’s degree in public health or related field. 1-3 years of related analysis experience.
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Additional Info:
This position is term-limited for one year commencing with the start date. Depending on the availability of funding, an extension of the position is possible. We are seeking an experienced and dynamic staff member with a commitment to contributing to a diverse, equitable, and inclusive environment for all members of our community. Background Screening: The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act. U-M EEO/AA Statement: The University of Michigan is an equal opportunity/affirmative action employer[Click Here to Access the Original Job Post]