Assistant Research Professor - Genomics and Bioinformatics

Basic education, experience and skills required for consideration:

• Ph.D. or M.D/Ph.D. degree in Bioinformatics, Computer Science, Mathematics or Physics with strong background in genomic analysis
• 3+ years of relevant experience in applying statistical and computational methods to the analysis and visualization of complex genomics data.
• Extensive knowledge of statistical analysis methods and models, mathematical and computational algorithm, such as machine learning algorithms. 
• Experience with genomic data integration and data mining
• Proficient in R/Bioconductor programming
• Experience working with NGS data, such as Illumina Hiseq/miSeq and PacBio SMRT sequencing
• Experience with single cell RNA-seq data is required
• Familiar with at least one programming languages, such as R/Perl/Python/JAVA/C++ with R or Python preferred
• Familiar with Biological databases, such as GEO and TCGA
• Familiar with open source and commercial software tools for genomic data analysis, such as BWA, TOPHAT, STAR, CUFFLINKS, IGV, VARSCAN, GATK, ANNOVAR, IPA, etc.
• Knowledge of molecular biology preferred.
• Experience with statistical, spreadsheet, graphics and word-processing software packages. 

Additional Information:

• For more information on Dr. Xiwei Wu’s research please visit, here

• To protect the health of patients and staff and to comply with new State of California mandates, City of Hope staff are required to show proof of full vaccination by September 30, 2021.  Compliance is a condition of employment.   

City of Hope is committed to creating a diverse environment and is proud to be an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.

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