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The Penn CVI is seeking a skilled bioinformatician to join our team to advance the development and implementation of genomic methods. Ideally, the candidate will possess strong data processing skills preferably in the R programing language and fundamentals of data management. The candidate will serve as an integral part of a Penn Cardiovascular Institute (CVI) by developing and implementing software tools, pipelines and workflows for analyzing high-throughput genomics, epigenomics, and transcriptomics data.
Bioinformatician A: Job duties will include, but are not limited to: Perform systematic analysis of array data and next-generation sequencing (NGS) data, including Chip-seq and RNA-seq. The candidate will also analyze human genetic data for research purposes, including identifying novel SNPs/variants and mutations. The candidate will interact with laboratory PIs and members, assist in experiment design, analyze data, and integrate other empirical experimental data in order to advance scientific projects.
Bioinformatician B: Same as above and in addition more detailed job duties include:
Develop, implement and maintain high-quality pipelines for the analysis of large quantities of next-generation sequencing (NGS) data. Develop statistical methods for other biomedical data, and perform analysis and QC measures. Provide reports and tabular/graphic summaries of analyses in a form suitable for inclusion in manuscripts for publication in peer reviewed scientific journals as well as for presentation at scientific meetings. Write scripts to integrate data from multiple resources for data analysis and comparison. Assist in the design, development and maintenance of technical protocols.
Biinformatician A: Bachelor’s Degree and 3 years of experience or an equivalent combination of education and experience is required.
Biinformatician B: Masters Degree and 3 year to 5 years of experience or an equivalent combination of education and experience is required.
- Experience, in Bioinformatics, Biostatistics, Computer Science, Data Science, Informatics or equivalent.
- Experience with biomedical research required
- Competent in Python/Perl and R programming language required
- Experience with Next Generation Sequencing data analysis
- Experience with Human Genetic analysis a plus
- Ability to work independently and apply critical thinking and sound judgment
- Excellent organizational and time management skills
- Ability to work with a multi-disciplinary team
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