Responsible 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, assist in implementation of division-wide business plans and new technologies/methodologies, and design 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.
Helps guide and assist in the creation of data standards for the Enterprise Analytics Omics Initiative.
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.
Manage routine and special projects which may require oversight of other departments work and coordination of a wide variety of functions.
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).
Provide guidance to peers and serve as reference point for questions.
Ph.D. or M.S. degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or related fields.
Extensive related experience will be considered.
Minimum of 5 years experience in bioinformatics and/or systems analysis.
Experience in health care related industries preferred, but those with relevant experience in other industries will be considered.
Superior 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 genomic analysis desired.
Knowledge of basic statistical techniques and packages such as R/SAS/MATLAB.
Person 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, with demonstrated competency in customer orientation and the ability to deal with ambiguity.
Excellent planning, communication, documentation, organizational, analytical, and problem solving abilities.
Ability to interpret and summarize results of various analyses in a timely and meaningful way.
Ability to effectively approach problem solving.
Ability to re-engineer processes to positively impact productivity in terms of timeliness and accuracy.
Knowledge and expert understanding of all products maintained by the UPMC Enterprise Analytics program, across all lines of business. Licensure, Certifications, and Clearances:UPMC is an equal opportunity employer. Minority/Females/Veterans/Individuals with Disabilities
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