The Department of Biomedical Informatics at the University of Pittsburgh in Pittsburgh, PA, seeks a Systems Programmer IV to perform analyses and interpretations of large high throughput biological datasets, including but not limited to expression analysis, micro RNA, SNP, methylation and next generation sequencing technologies. Will also: (i) collaborate with biomedical researchers in genomics, proteomics, imaging, bioinformatics and related disciplines and assume significant or primary responsibility for providing bioinformatics solutions and software developments for publications and research protocols; (ii) perform complex analysis in genomics datasets including next generation sequence data; (iii) analyze whole genome, whole-exome, ChIP-Seq, RNA-Seq, Methyl-Seq data; (iv) perform timely and accurate bioinformatics analysis to aid researchers in performing high-throughput data analysis; (v) work with end users and domain experts to understand software and data requirements; (vi) develop and maintain bioinformatics pipelines using high performance computing (HPC) and cloud computing; (vii) provide informal training and consulting to end users on the functionality and use of developed applications and resolve inquiries about data integrity and consistency; and (viii) maintain accurate and detailed records of all research and experiments performed using github.
Must have a master's degree (or foreign equivalent) in Computer Science, Information Science, Bioinformatics, or related field plus one (1) year of experience in a related position involving bioinformatics software development, large data systems data mining, and analysis. Must also have any experience with or knowledge of: (i) working with microarrays, complex biological datasets and next generation sequencing analysis; (ii) working with major public genomic databases like NCBI, Ensembl, UCSC, BLAST, GEO, KEGG, cBio Portal, TCGA, Xena, etc.; (iii) programming languages, including: Perl/Python, R, Matlab, Java, Unix shell scripting and cluster administration, high performance computing; (iv) using different R packages to process, analyze, and visualize various Next-Generation Sequence data types, including mutation data, copy number data, RNASeq data, microarray data, protein array data, methylation data, etc.; (v) applying statistical methods to determine differentially expressed genes and genes that have mutation or/and copy number alteration for each patient; and (vi) cancer biology, including how tumor functions as a system at a molecular level, Genomics, Molecular Biology, etc. Experience can be concurrent.
Apply at https://join.pitt.edu, #19006273.
Assignment Category: Fulltime-Regular
Minimum Education Level Required: Master's
Minimum Experience Level Required: 1-2 years experience
Hiring Range: TBD based on qualifications
Background Check: For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances: Not Applicable
Required Documents: Resume
Internal Number: 19006273
About University of Pittsburgh
Founded in 1787, the same year the U.S. Constitution was signed, the University of Pittsburgh is one of the oldest institutions of higher education in the United States. One of three state-related research universities in Pennsylvania, Pitt is a member of the Association of American Universities (AAU), which comprises 62 preeminent doctorate-granting research institutions in North America.Pitt faculty members have expanded knowledge in the humanities and sciences, earning such prestigious honors as the National Medal of Science, the MacArthur Foundation’s “genius” grant, the Lasker-DeBakey Clinical Medical Research Award, and election to the National Academy of Sciences and the Institute of Medicine. Pitt scientists have defeated polio, unlocked the secrets of DNA, lead the world in organ transplantation, and pioneered TV and heavier-than-air flight, among numerous other accomplishments.Pitt students have earned Rhodes, Goldwater, Marshall, and Truman Scholarships, among other highly competitive national and international scholarships.Alumni have pioneered MRI and TV, won Nobel and Pulitzer Prizes, led corporations and universities, served in government and the military, conquered Hollywood and The New York Times bestsellers list, and won Super Bowls and NBA championships.