Job Details

ID #51746324
Estado Pennsylvania
Ciudad Pittsburgh
Full-time
Salario USD TBD TBD
Fuente University of Pittsburgh
Showed 2024-05-21
Fecha 2024-05-22
Fecha tope 2024-07-21
Categoría Etcétera
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Bioinformatics Analyst

Pennsylvania, Pittsburgh, 15201 Pittsburgh USA
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Bioinformatics AnalystResponsible for assisting in ensuring data integrity and data competency for clinical and research data critical to business intelligence. This initiative addresses the current information architecture and technical environment challenges to establish the data request management foundation to create a standardized data access format across functional data. To successfully perform this role, the Specialist must have experience in the genomic and/or biology field, including deep knowledge of reference data repositories, standard practices, and analytical tools to transform, migrate, and analyze genomics data in disparate systems. Of particular importance to this position is the ability to independently provide detailed work and documentation required to assure the accuracy of the information and processes. This position will work closely with the Information Technology/Systems Department. The Bioinformatician must use his/her knowledge and expert understanding of informatics, genomics/biology, and other information generated by numerous sources to identify opportunities to improve data accuracy/integrity and to establish solid clinical genomics processes. Furthermore, the position requires the ability to accurately articulate technical plans, progress, and results to internal and external audiences, assisting in implementation of division-wide business plans and new technologies/methodologies, and designing surveillance programs to track and monitor progress. These functions must be done while also weighing the practical considerations and potential barriers that must be overcome to successfully implement new programs and processes.Establish processes to handle business requests to the Enterprise Analytics Omics Initiative efficiently and effectively. Investigate variances in data consistency and integrity and assist in provide technically sound solutions; implement and monitor effectiveness of these solutions. Maintain documentation of existing issues, fixes and progress. Meet deadlines and turnaround times set by managers and department director (these deadlines and turnaround times will, at times, require the employee to work until the project is completed, meaning extended daily work hours, extended work weeks, or both). Help guide and assist in the creation of data standards for the Enterprise Analytics Omics Initiative. Manage routine and special projects which may require oversight of other departments work and coordination of a wide variety of functions. Provide guidance to peers and serve as reference point for questions. Complete ongoing training on the job, through courses, self-study, certifications, and/or advanced degrees to maintain and enhance knowledge and capabilities. Performs in accordance with system-wide competencies/behaviors. Performs other duties as assigned.Job SummaryManages team and oversees the entire analytics lifecycle, including data collection, preparation, advanced analysis, and modeling. Leads the design, deployment, and maintenance of data models, dashboards, and visualizations. Identifies analytical strategies, cost reduction opportunities, and performance enhancements. Serves as a point of contact for customers and staff. Assists in establishing best practice standards, monitors data quality, and prepares complex reports for senior leadership.Essential FunctionsSuperior computer skills are given: programming experience in Java, C/C, Python, R, and Perl; Scripting proficiency in Unix/Linux; Experienced in querying various databases (SQL) and operating various bioinformatics tools; Experience in next generation sequence analysis, including whole genome/exome analysis, RNAseq, and gene expression analysis; Experience in analysis of large multi-dimensional genomics datasets; Experience working in an HPC environment; Experience in cancer biology preferred; Experience in developing computational pipelines and algorithms for g nomic analysis desired; Knowledge of basic statistical techniques and packages such as R/SAS/MATLAB; The incumbent must demonstrate a high degree of professionalism, enthusiasm, and initiative on a daily basis; Ability to work in a fast-paced environment is a must; Will need to manage multiple tasks and projects, and forge strong interpersonal relationships within the department, with other departments, and with external audiences; Attention to detail is critical to the success of this position, wit Equal Employment Opportunity/M/F/disability/protected veteran status PI241168325

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