Job ID: 103144
Job date: 2017-07-21
End Date:
Company : University of Chicago Country : Role : Research Scientist
Job date: 2017-07-21
End Date:
Company : University of Chicago Country : Role : Research Scientist
Job Description:
We are looking for a Scientific Support Analyst to support our data commons platforms. Alongside our team of experts in systems administration, software development, and bioinformatics, you will join a support team dedicated to operations of our platforms that enable data sharing in the scientific research community. We offer numerous petabytes of centralized and harmonized cancer genomic data to a range of users from small research projects to large analytics applications. The support team has an extraordinary opportunity to deliver on our mission of advancing cancer and biomedical research through data science by collaborating with thought leaders and respected research teams across the country. You will serve as our primary user contact on data inquiries, resolving issues and tackling queries in an efficient and timely manner. Provide exceptionally competent email support to our clients and staff, along with demonstrating dedication to high quality customer service. You will specialize in problem source identification and issue resolution in our data commons and cloud environments. Perform problem analysis, evaluation, recreation, and resolution of client report problems. Develop a deep understanding of the data and the underlying biological concepts. Seek to comprehend the scientific goal and methodology to provide domain-specific support to users. Take full ownership of assigned cases, triaging them to the appropriate resources, and guiding them through to achieve final resolution. Provide exceptionally competent email support to users and staff. Coordinate with functional teams (operations, development, bioinformatics, and information security) for user management and issue resolution. Assist senior personnel and subject matter experts on escalated issues. You are responsible for managing ticket queues and collaborative resolution to ensure goals and deadlines are met. Exercise judgment to prioritize and manage inquiries of diverse scope and complexity. Document all user interactions in the ticketing system. Communicate primarily through well-constructed emails about complex technical issues. Develop relationships with individual users. Assist in the development of client-facing training materials and documents. Maintain internal documentation and Standard Operating Procedures. Contribute to the Knowledge Management database. Participate in educating users on the technology and make recommendations for optimization. Track user complaints, proactively monitoring to identify trends. Conduct failure investigation with cross-functional teams. Contribute to ongoing improvement of business and quality processes. Stay current on user needs, internal projects, and the broader biotech community. Perform other duties as assigned. On-call responsibilities as required. 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. If this position is eliminated due to the discontinuation of grant funding, a minimum of one pay period's written notice (If exempt: 30 days, If non-exempt: 2 weeks), or pay in-lieu of notice will be given. Education: Advanced degree in Biology, Bioinformatics, Computer Science, or a related technical area required. PhD in Biology, Bioinformatics, Computer Science, or a related technical area preferred. 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. 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. Today we offer over seven petabytes of rich research data through the following data commons platforms: - NCI Genomic Data Commons - Bionimbus Protected Data Cloud - Blood Profiling Atlas for Cancer - OCC Environmental Data Commons - Open Science Data Cloud We are based in Chicago, but our work engages collaborators from across the world. [Click Here to Access the Original Job Post]
We are looking for a Scientific Support Analyst to support our data commons platforms. Alongside our team of experts in systems administration, software development, and bioinformatics, you will join a support team dedicated to operations of our platforms that enable data sharing in the scientific research community. We offer numerous petabytes of centralized and harmonized cancer genomic data to a range of users from small research projects to large analytics applications. The support team has an extraordinary opportunity to deliver on our mission of advancing cancer and biomedical research through data science by collaborating with thought leaders and respected research teams across the country. You will serve as our primary user contact on data inquiries, resolving issues and tackling queries in an efficient and timely manner. Provide exceptionally competent email support to our clients and staff, along with demonstrating dedication to high quality customer service. You will specialize in problem source identification and issue resolution in our data commons and cloud environments. Perform problem analysis, evaluation, recreation, and resolution of client report problems. Develop a deep understanding of the data and the underlying biological concepts. Seek to comprehend the scientific goal and methodology to provide domain-specific support to users. Take full ownership of assigned cases, triaging them to the appropriate resources, and guiding them through to achieve final resolution. Provide exceptionally competent email support to users and staff. Coordinate with functional teams (operations, development, bioinformatics, and information security) for user management and issue resolution. Assist senior personnel and subject matter experts on escalated issues. You are responsible for managing ticket queues and collaborative resolution to ensure goals and deadlines are met. Exercise judgment to prioritize and manage inquiries of diverse scope and complexity. Document all user interactions in the ticketing system. Communicate primarily through well-constructed emails about complex technical issues. Develop relationships with individual users. Assist in the development of client-facing training materials and documents. Maintain internal documentation and Standard Operating Procedures. Contribute to the Knowledge Management database. Participate in educating users on the technology and make recommendations for optimization. Track user complaints, proactively monitoring to identify trends. Conduct failure investigation with cross-functional teams. Contribute to ongoing improvement of business and quality processes. Stay current on user needs, internal projects, and the broader biotech community. Perform other duties as assigned. On-call responsibilities as required. 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. If this position is eliminated due to the discontinuation of grant funding, a minimum of one pay period's written notice (If exempt: 30 days, If non-exempt: 2 weeks), or pay in-lieu of notice will be given. Education: Advanced degree in Biology, Bioinformatics, Computer Science, or a related technical area required. PhD in Biology, Bioinformatics, Computer Science, or a related technical area preferred. Experience:
- Minimum three (3) years experience in a relevant technical, user support, or project/product management role required.
- Minimum three (3) years experience in customer service or client relations required.
- Technical documentation and writing experience preferred.
- Experience in bioinformatics preferred.
- Experience working on research infrastructure preferred.
- Experience with both hardware and software IT projects preferred.
- Strong technical skills, ability to pick up quickly on our unique systems and offerings required.
- Passionate about contributing to a larger effort to transform cancer research and accelerate scientific discovery required.
- Ability to come into a team used to minimal supervision and oversight and ensure accountability for performance required.
- Ability to speak to both technical users and business stakeholders and interact at all levels of an organization required.
- Superior verbal and written communication skills required.
- Strong relationship building skills required.
- Ability to work in an environment where processes, services, and business models have not yet been fully defined required.
- High level of creativity within uncompromised integrity required.
- Ability to handle sensitive matters with tact and discretion required.
- Fluent in the English language required.
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Skills :
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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. 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. Today we offer over seven petabytes of rich research data through the following data commons platforms: - NCI Genomic Data Commons - Bionimbus Protected Data Cloud - Blood Profiling Atlas for Cancer - OCC Environmental Data Commons - Open Science Data Cloud We are based in Chicago, but our work engages collaborators from across the world. [Click Here to Access the Original Job Post]