The Department of Biomedical Informatics at the University of Pittsburgh in Pittsburgh, PA, seeks a Senior Research Scientist to work in the Center for Causal Discovery (CCD). The emergence of Next-Generation Sequence data has led to the large amount of patient/tumor omic data. As a result, more complex and sophisticated theoretical/computational models must be developed to understand the cancer disease mechanisms. The center seeks to develop advanced novel causal inference methods and solutions to patient/tumor specific cancer drivers and pathways identification challenges. Duties will include: (i) processing and analyzing next generation sequencing data from large number of cancer patients; (ii) developing and implementing novel causal inference methods to identify tumor/patient specific cancer drivers (TDI) by integrating multiple large scale genomic data types using a Bayesian framework; (iii) collaborating with oncologists/clinicians to perform experimental validation of TDI predictions to develop novel immunotherapies for melanoma patients; (iv) writing manuscripts for publication in high impact journals; (v) applying for patent(s); and (vi) playing a leading role in TDI and TDI derived/related projects and providing mentoring and oversight of graduate students, developers and programmers.
Must have a PhD degree (or foreign equivalent) in Mathematics, Physics, Computer Science, or a directly related field plus three (3) years of experience in a related position.
Must also have any experience with or knowledge of: (i) statistics and machine learning specialized in Bayesian causal inference methods; (ii) developing Bayesian frameworks for causal inference; (iii) cancer biology, including how tumor cell functions as a system at the molecular level; (iv) computer programming, including various coding languages, i.e. R, python, C/C++ and MATLAB; (v) parallel computing using openMP and GPU; (vi) 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.; (vii) applying statistical methods to determine differentially expressed genes and genes that have mutation or/and copy number alteration for each patient; (viii) working with various databases, including TCGA, Broad GDAC Firehose, cBioPortal for Cancer Genomics, XENA, NCBI, Tumorportal, Genecard, KEGG, etc.; and (ix) software skills, including Adobe Illustrator, Cytoscape, Tetrad, MS office, and Endnote.
Successful completion of a background check required.
Apply at join.pitt.edu, #19002507
Assignment Category: Fulltime-Regular
Minimum Education Level Required: PhD or ScD
Minimum Experience Level Required: 3-5 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
Optional Documents: Not Applicable
Internal Number: 19002507
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.