Job ID: 101933
Job date: 2017-01-18
End Date:
Company : University of Chicago Country : Role : Technician
Job date: 2017-01-18
End Date:
Company : University of Chicago Country : Role : Technician
Job Description:
As a Senior Bioinformatician, you will use strong programming skills to design and implement bioinformatics services for projects in the Center for Data Intensive Science. You will be focused on hands-on technical activities for a wide range of high-throughput genomic technologies spanning pipeline development, optimization, automation, operations, and user support. Projects range from multi-petabyte community platforms such as the NCI Genomic Data Commons, to small-scale research projects with faculty, to multifaceted international collaborations. Responsibilities will 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. You will use best practices to prototype, develop, execute, test and roll out production quality solutions. You may analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods on a collaborative team project. You will shepherd projects as the primary bioinformatics resource to ensure they are managed in a timely and efficient manner, appropriately documented, and provide follow up support services after initial project completion. You may also revise or modify procedures to solve complex problems and work at a high technical level in all phases of data management and bioinformatics support activities. To be successful in this role, you will work toward a deep knowledge of internally developed systems, open-source programs and pipelines, and cancer genomic datasets. You will work on a team of bioinformaticians, and frequently interact with other engineers across the stack. You will also engage with the bioinformatics community at large on pipeline development and have opportunities to collaborate with internationally recognized leaders in cancer genomics and biomedical informatics. You will participate in the writing and delivery of presentations, grant proposal sections, and manuscript sections. This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance. Education: Doctoral degree in Bioinformatics, the Biological Sciences, Computer Science, or a related field required. Experience: - Two (2) or more years of experience in the field of bioinformatics required. -Two (2) or more years of experience programming in at least three (3) of the following languages: Python, Java, SQL, XML, Perl, and R required. -Demonstrated experience and proficiency in analysis pipeline development of high-throughput data required. -Hands-on experience with next generation sequencing technologies such as BWA, Novoalign, STAR, GATK, samtools, Picard, and other tools required. -Experience and a working understanding of algorithms, data structures, and scientific programming required. -Experience working on Linux and/or Unix systems required. -Demonstrated experience in the development, optimization, automation, and operations support of analysis pipelines for high-dimensional data including whole-genome, whole-exome, and RNA sequencing data preferred. -Experience in employing high performance computing to solve parallelizable compute problems preferred. -Experience providing bioinformatics services or other service roles preferred. -Experience with project management preferred. -Experience with genomic datasets such as TCGA, TARGET, CGCI, MMRF, and ICGC preferred. -Experience with version control, such as git, preferred. -Experience with both molecular and clinical data preferred. -Experience mentoring early career bioinformaticians preferred. Competencies: -Basic knowledge of molecular biology required. -Basic knowledge of statistics required. -Advanced knowledge in bioinformatics required. -Ability to train others required. -Knowledge of regulatory policies and procedures required. -Analytical skills required. -Problem-solving skills required. -Attention to detail required. -Organizational skills required. -Excellent verbal and written communication skills required. -Ability to work independently and as part of a team required. -Knowledge of HIPAA policies preferred.
Additional Info:
Join us in transforming cancer research. The Center for Data Intensive Science is developing the emerging field of data science with a focus on applications to problems in biology, medicine, and health care. Our vision is a world in which researchers have ready access to the data and tools required to make discoveries that lead to deeper understanding and improved quality of life. We democratize access, speed discovery, create new knowledge and foster innovation through implementation using data at scale. Our scientific data clouds and commons include: The NCI Genomic Data Commons (GDC) is a next generation unified system that supports the hosting and standardization of genomic and clinical data from cancer research programs. The GDC provides the cancer research community with a data service supporting the receipt, quality control, integration, storage, and redistribution of standardized cancer genomic data sets derived from cancer studies. This is the foundation of a genomic precision medicine platform and will enable the development of a knowledge system for cancer. The GDC is an open-source, scalable, modern informatics framework that enables previously infeasible collaborative efforts between scientists. The Bionimbus Protected Data Cloud is an analysis platform for bioinformatics at scale. Bionimbus is the first open-source cloud-based computational platform that allows researchers authorized by NIH to compute over human genomic data in a secure and compliant fashion. Bionimbus and related cloud-based infrastructure are used by researchers working on cancer, diabetes and neuropsychiatric disorders. The Open Science Data Cloud (OSDC) provides the scientific community with resources for storing, sharing, and analyzing terabyte- and petabyte-scale scientific datasets. The OSDC is a data science ecosystem in which researchers can house and share their own scientific data, access complementary public datasets, build and share customized virtual machines with whatever tools necessary to analyze their data, and perform the analysis to answer their research questions. The OSDC is a collaboration with the not-for-profit Open Cloud Consortium. Required Job Seeker Documents: -Resume -Cover Letter -Reference Contact Information [Click Here to Access the Original Job Post]
As a Senior Bioinformatician, you will use strong programming skills to design and implement bioinformatics services for projects in the Center for Data Intensive Science. You will be focused on hands-on technical activities for a wide range of high-throughput genomic technologies spanning pipeline development, optimization, automation, operations, and user support. Projects range from multi-petabyte community platforms such as the NCI Genomic Data Commons, to small-scale research projects with faculty, to multifaceted international collaborations. Responsibilities will 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. You will use best practices to prototype, develop, execute, test and roll out production quality solutions. You may analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods on a collaborative team project. You will shepherd projects as the primary bioinformatics resource to ensure they are managed in a timely and efficient manner, appropriately documented, and provide follow up support services after initial project completion. You may also revise or modify procedures to solve complex problems and work at a high technical level in all phases of data management and bioinformatics support activities. To be successful in this role, you will work toward a deep knowledge of internally developed systems, open-source programs and pipelines, and cancer genomic datasets. You will work on a team of bioinformaticians, and frequently interact with other engineers across the stack. You will also engage with the bioinformatics community at large on pipeline development and have opportunities to collaborate with internationally recognized leaders in cancer genomics and biomedical informatics. You will participate in the writing and delivery of presentations, grant proposal sections, and manuscript sections. This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance. Education: Doctoral degree in Bioinformatics, the Biological Sciences, Computer Science, or a related field required. Experience: - Two (2) or more years of experience in the field of bioinformatics required. -Two (2) or more years of experience programming in at least three (3) of the following languages: Python, Java, SQL, XML, Perl, and R required. -Demonstrated experience and proficiency in analysis pipeline development of high-throughput data required. -Hands-on experience with next generation sequencing technologies such as BWA, Novoalign, STAR, GATK, samtools, Picard, and other tools required. -Experience and a working understanding of algorithms, data structures, and scientific programming required. -Experience working on Linux and/or Unix systems required. -Demonstrated experience in the development, optimization, automation, and operations support of analysis pipelines for high-dimensional data including whole-genome, whole-exome, and RNA sequencing data preferred. -Experience in employing high performance computing to solve parallelizable compute problems preferred. -Experience providing bioinformatics services or other service roles preferred. -Experience with project management preferred. -Experience with genomic datasets such as TCGA, TARGET, CGCI, MMRF, and ICGC preferred. -Experience with version control, such as git, preferred. -Experience with both molecular and clinical data preferred. -Experience mentoring early career bioinformaticians preferred. Competencies: -Basic knowledge of molecular biology required. -Basic knowledge of statistics required. -Advanced knowledge in bioinformatics required. -Ability to train others required. -Knowledge of regulatory policies and procedures required. -Analytical skills required. -Problem-solving skills required. -Attention to detail required. -Organizational skills required. -Excellent verbal and written communication skills required. -Ability to work independently and as part of a team required. -Knowledge of HIPAA policies preferred.
Requeriments :
Skills :
- Bioinformatics
- HPC
- Lunix/Unix
- molecular biology
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
- RNA-seq
- Software Design
- SQL
- Statistics
- Teaching
Areas :
Additional Info:
Join us in transforming cancer research. The Center for Data Intensive Science is developing the emerging field of data science with a focus on applications to problems in biology, medicine, and health care. Our vision is a world in which researchers have ready access to the data and tools required to make discoveries that lead to deeper understanding and improved quality of life. We democratize access, speed discovery, create new knowledge and foster innovation through implementation using data at scale. Our scientific data clouds and commons include: The NCI Genomic Data Commons (GDC) is a next generation unified system that supports the hosting and standardization of genomic and clinical data from cancer research programs. The GDC provides the cancer research community with a data service supporting the receipt, quality control, integration, storage, and redistribution of standardized cancer genomic data sets derived from cancer studies. This is the foundation of a genomic precision medicine platform and will enable the development of a knowledge system for cancer. The GDC is an open-source, scalable, modern informatics framework that enables previously infeasible collaborative efforts between scientists. The Bionimbus Protected Data Cloud is an analysis platform for bioinformatics at scale. Bionimbus is the first open-source cloud-based computational platform that allows researchers authorized by NIH to compute over human genomic data in a secure and compliant fashion. Bionimbus and related cloud-based infrastructure are used by researchers working on cancer, diabetes and neuropsychiatric disorders. The Open Science Data Cloud (OSDC) provides the scientific community with resources for storing, sharing, and analyzing terabyte- and petabyte-scale scientific datasets. The OSDC is a data science ecosystem in which researchers can house and share their own scientific data, access complementary public datasets, build and share customized virtual machines with whatever tools necessary to analyze their data, and perform the analysis to answer their research questions. The OSDC is a collaboration with the not-for-profit Open Cloud Consortium. Required Job Seeker Documents: -Resume -Cover Letter -Reference Contact Information [Click Here to Access the Original Job Post]