Bioinformatician

Job ID: 102786
Job date: 2017-06-06
End Date:

Company : University of Chicago 

Country :

Role : Technician 


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Job Description:
The Bioinformatician will design and implement bioinformatics services for faculty for projects in the Center for Data Intensive Science. The Bioinfomatician will work on developing pipelines for this project, 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 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.

Executes, tests and rolls out project specific solutions. Ensures projects are managed in a timely and efficient manner and is appropriately documented. Provides follow up support services after initial project completion.

Performs other duties as assigned.

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:

Bachelor degree in Bioinformatics, the Biological Sciences, Computer Science, or a related field required.

-Advanced degree in a related field preferred.

Experience:

-Minimum of two 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 providing bioinformatics services or other service roles preferred.

-Experience teaching bioinformatics to non-bioinformaticians preferred.

Competencies:

-Advanced knowledge in bioinformatics 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.

-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 Microsoft Office required.

-Basic knowledge of molecular biology required.

-Basic knowledge of statistics required.

-Knowledge of HIPAA policies preferred.


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Additional Info:
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.

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