Job ID: 454215151
Job date: 2017-09-20
End Date:
Company : University of Chicago Country : Role : Other
Job date: 2017-09-20
End Date:
Company : University of Chicago Country : Role : Other
Job Description:
The Senior Bioinformatician will design and implement bioinformatics services for projects in the Center for Data Intensive Science. Projects range from large-scale federal contracts with the National Cancer Institute to research projects with faculty. The Senior Bioinfomatician will lead projects and work hands-on to develop data processing and analysis pipelines, including support for high-throughput genomic technologies. This may include developing and implementing software methodologies and computational tools as needed, keeping abreast of industry trends and new technologies, and recommending potential solutions based on the latest technical developments. The Senior Bioinformatician will engage with the bioinformatics community at large on pipeline development. The Senior Bioinformatician may also devise or modify procedures to solve complex problems and work at a high technical level in all phases of bioinformatics support activities. Develops, executes, tests and rolls out project specific solutions. Shepherds projects to ensure they are managed in a timely and efficient manner and is appropriately documented. Provides follow up support services after initial project completion. Provides technical and scientific oversight for projects and develops standards, guidelines, and processes for relevant activities. Escalates key decisions to senior management and stakeholders and consistently communicates pertinent information as needed, using good judgement on what matter to escalate. Contributes to the technical leadership of the Center, including broader decisions on project, infrastructure, technologies, platforms, and framework needs. Develops technical diagrams, project plans, timelines, and resource allocation. Mentors other engineers on the team working in the relevant area(s). Your at-will position is wholly or partially funded by extramural funds (e.g., grant, gift, endowment) which is renewed under provisions set by the grantor. Your employment will be contingent upon the continued receipt of these extramural funds and your satisfactory job performance. Education: Doctoral degree in Bioinformatics, the Biological Sciences, Computer Science, or a related field required. Experience:
Additional Info:
About The Unit: The Center for Data Intensive Science at the University of Chicago is a research center pioneering translational data science to advance biology, medicine, and environmental research. Data driven research approaches require interdisciplinary innovation in computing technology, algorithms, and statistical models. The growing volume of data available necessitates advances in the sophistication of these methods. Our work centers around developing instruments to integrate commons of complex data with cloud computing technology. We architect large scale commons of research data, computing resources, applications, tools, services. Our guiding principles center around open data, open-source software, and open infrastructure. Through this approach, we can more effectively use data at scale to study and pursue scientific inquiry in the areas of biology, medicine, healthcare, and the environment. Today We Offer Over Seven Petabytes Of Rich Research Data Through The Following Data Commons Platforms We are leaders in data sharing, democratizing access for the broader research community and accelerating discovery. Our leadership emerged with the launch of the first open-source cloud-based computational research platform recognized as an NIH Trusted Partner, achieving rigorous data quality and data management service requirements.
The Senior Bioinformatician will design and implement bioinformatics services for projects in the Center for Data Intensive Science. Projects range from large-scale federal contracts with the National Cancer Institute to research projects with faculty. The Senior Bioinfomatician will lead projects and work hands-on to develop data processing and analysis pipelines, including support for high-throughput genomic technologies. This may include developing and implementing software methodologies and computational tools as needed, keeping abreast of industry trends and new technologies, and recommending potential solutions based on the latest technical developments. The Senior Bioinformatician will engage with the bioinformatics community at large on pipeline development. The Senior Bioinformatician may also devise or modify procedures to solve complex problems and work at a high technical level in all phases of bioinformatics support activities. Develops, executes, tests and rolls out project specific solutions. Shepherds projects to ensure they are managed in a timely and efficient manner and is appropriately documented. Provides follow up support services after initial project completion. Provides technical and scientific oversight for projects and develops standards, guidelines, and processes for relevant activities. Escalates key decisions to senior management and stakeholders and consistently communicates pertinent information as needed, using good judgement on what matter to escalate. Contributes to the technical leadership of the Center, including broader decisions on project, infrastructure, technologies, platforms, and framework needs. Develops technical diagrams, project plans, timelines, and resource allocation. Mentors other engineers on the team working in the relevant area(s). Your at-will position is wholly or partially funded by extramural funds (e.g., grant, gift, endowment) which is renewed under provisions set by the grantor. Your employment will be contingent upon the continued receipt of these extramural funds and your satisfactory job performance. Education: Doctoral degree in Bioinformatics, the Biological Sciences, Computer Science, or a related field required. Experience:
- Minimum of two (2) years of experience in the field of bioinformatics required.
- Experience in the bioinformatics of Next Generation sequencing technologies required.
- Experience using languages such as Java, SQL, XML, with C++, Perl, PHP, and/or JavaScript required.
- Experience With Linux And/or Unix Required.
- Experience in employing high performance computing to solve parallelizable compute problems preferred.
- Experience In Project Management Preferred.
- Experience providing bioinformatics services or other service roles preferred.
- Experience Teaching Bioinformatics To Non-bioinformaticians Preferred.
- Basic knowledge of molecular biology required.
- Basic knowledge of statistics required.
- Advanced knowledge in bioinformatics required.
- Ability To Train Others Required.
- Advanced knowledge of high-throughput genomic technologies required.
- Advanced knowledge of programming and/or scripting languages such as Perl or C/C++ required.
- Knowledge of regulatory policies and procedures required.
- Problem-solving skills required.
- Attention to detail required.
- Excellent verbal and written communication skills required.
- Ability to work independently and as part of a team required.
- Knowledge of Microsoft Office required.
- Knowledge of HIPAA policies preferred.
Requeriments :
Skills :
- Bioinformatics
- genomic
- HPC
- JavaScript
- molecular biology
- Next Generation Sequencing
- PHP
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Software Design
- SQL
- Statistics
Areas :
Additional Info:
About The Unit: The Center for Data Intensive Science at the University of Chicago is a research center pioneering translational data science to advance biology, medicine, and environmental research. Data driven research approaches require interdisciplinary innovation in computing technology, algorithms, and statistical models. The growing volume of data available necessitates advances in the sophistication of these methods. Our work centers around developing instruments to integrate commons of complex data with cloud computing technology. We architect large scale commons of research data, computing resources, applications, tools, services. Our guiding principles center around open data, open-source software, and open infrastructure. Through this approach, we can more effectively use data at scale to study and pursue scientific inquiry in the areas of biology, medicine, healthcare, and the environment. Today We Offer Over Seven Petabytes Of Rich Research Data Through The Following Data Commons Platforms We are leaders in data sharing, democratizing access for the broader research community and accelerating discovery. Our leadership emerged with the launch of the first open-source cloud-based computational research platform recognized as an NIH Trusted Partner, achieving rigorous data quality and data management service requirements.
- NCI Genomic Data Commons
- Bionimbus Protected Data Cloud
- Blood Profiling Atlas for Cancer
- OCC Environmental Data Commons
- Open Science Data Cloud
- Resume
- Cover Letter
- Reference Contact Information
- Research Statement