About the Department
 

The Bioinformatics Core within the University of Chicago Biological Sciences Division offers highly skilled services and expertise designed to allow investigators to take full advantage of high-throughput technologies. The Bioinformatics Core’s work combines the use of powerful computing resources, advanced analytics tools, and a commitment to security to transform large amounts of raw data into meaningful results. Some of the services we provide include the bioinformatics analysis of high-throughput biological data, including genomics and proteomics, using our well-defined analysis pipelines; consulting services for custom analysis beyond our standard pipelines, including genome-wide association studies; and grant writing assistance, including assistance fully developing the bioinformatics components of a grant, cost analysis, letters of support, and documenting the availability of tools and expertise to complete the research indicated. 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.

Job Summary
 

The job uses best practices and knowledge of data algorithms and use specialized computer software to identify and classify components of scientific biological systems. As a Bioinformatician, you will use strong scientific knowledge and programming skills to design and implement bioinformatics services for research projects at the Biological Sciences Division. You will be focused on hands-on technical activities for a wide range of high-throughput genomics technologies, including the applications of Next Generation Sequencing, spanning pipeline development, optimization, operations, and support.

 

Responsibilities

• Leads the bioinformatics analysis of high-throughput biological data.

• Applies state-of-the-art computational biology and bioinformatics methods and tools to generate new or validate existing testable hypotheses from complex and large biological datasets.

• Leads the analysis of data resulting in a better understanding of human genetic variation and the association of medical information to uncover gene-disease links and new targets.

• Works effectively with the faculty, clinicians, researchers and experimentalists, to implement novel or adapt existing approaches to optimize upstream and downstream analysis and interpretation of biological data.

• Integrates diverse and heterogeneous datasets, to facilitate mining statistical analysis and visualizations leading to a better understanding of disease mechanisms, and the correlation between phenotype and genotype in different research projects.

• Instructs others in the selection and use of bioinformatics tools.

• Develops new software applications or the customization of existing applications to meet specific scientific project needs.

• Identifies suitable datasets and methods to answer particular research questions.

• Designs and performs formal evaluation of informatics methods and products.

• Performs data analyst functions that generate knowledge via data mining, visualization, or other analytics.

• Conducts validation and user acceptance testing.

• Creates novel computational approaches.

• Designs best research and development practice.

• Stays up to date on new advances and developments in bioinformatics and provide on-demand bioinformatics and statistics support to various teams.

• Develops training, tools, and process documentation.

• Develop programs to perform analyses and generate both routine and ad hoc reports.

• Guides with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.

• Performs other related work as needed.

Read more and apply here.