Job ID: 11621
Job date: 2017-09-03
End Date:
Company : Children s Hospital of Philadelphia Country : Role : Research Scientist
Job date: 2017-09-03
End Date:
Company : Children s Hospital of Philadelphia Country : Role : Research Scientist
Job Description:
The Center for Data-Driven Discovery in Biomedicine (D3b - d3b.center) is seeking talented scientists to join a team creating innovative solutions for accelerating discovery and advancements in child health. The Bioinformatics Scientist II position is an entry level position for a PhD level professional and a 2nd stage position for those with moderate experience without a PhD. The center has a strong focus on analyzing large-scale pediatric cohorts characterized on an ongoing basis using next generation sequencing. Most of the processing occurs in cloud-based platforms with reproducibility, scalability, and high quality datasets for further downstream analysis as key goals. Activities occur with a moderate degree of supervision with some latitude for independent judgment, development of bioinformatics workflows and processes, and presentation of results. The Bioinformatics Scientist II will apply best practices, and evaluate new techniques, in collaborative efforts as a bioinformatics domain expert. Academic output, while not a primary focus of this position, is also expected with a moderate degree of supervision. Job Responsibilities: Pre-Analysis (20%): Contribute to the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support.
Additional Info:
Shift: Days Employment Status: AF -Active -Regular -Full Time[Click Here to Access the Original Job Post]
The Center for Data-Driven Discovery in Biomedicine (D3b - d3b.center) is seeking talented scientists to join a team creating innovative solutions for accelerating discovery and advancements in child health. The Bioinformatics Scientist II position is an entry level position for a PhD level professional and a 2nd stage position for those with moderate experience without a PhD. The center has a strong focus on analyzing large-scale pediatric cohorts characterized on an ongoing basis using next generation sequencing. Most of the processing occurs in cloud-based platforms with reproducibility, scalability, and high quality datasets for further downstream analysis as key goals. Activities occur with a moderate degree of supervision with some latitude for independent judgment, development of bioinformatics workflows and processes, and presentation of results. The Bioinformatics Scientist II will apply best practices, and evaluate new techniques, in collaborative efforts as a bioinformatics domain expert. Academic output, while not a primary focus of this position, is also expected with a moderate degree of supervision. Job Responsibilities: Pre-Analysis (20%): Contribute to the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support.
- Use standard pipelines for data processing and manipulation in advance of performing analysis in a manner that best enables the analysis plan.
- Contribute to the development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances.
- Advocate for specific collaboration requirements for continual advancement of shared pipeline and code resources.
- Provide collaboration-specific transparency for data processing and pre-analysis, including sample- and cohort-level status.
- Within the context of the collaboration or project, develop and apply best practices to code development.
- Establish requirements with the project team.
- Review existing applications and code sources (both commercial and open source) and selection of best strategy for development or adoption.
- Advocate for chosen strategy to project team by showing value of approach
- Develop best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations.
- Regularly seek peer-to-peer code reviews by participating in informal and formal critical code reviews.
- Develop robust analysis plans independently with regular peer-to-peer review in both informal and formal settings.
- Incorporate more advanced applications and methods into analysis.
- Develop at least one specialty analytical or biomedical area that serves the collaborative team.
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Additional Info:
Shift: Days Employment Status: AF -Active -Regular -Full Time[Click Here to Access the Original Job Post]