City of Hope, an innovative biomedical research, treatment and educational institution with over 6000 employees, is dedicated to the prevention and cure of cancer and other life-threatening diseases and guided by a compassionate, patient-centered philosophy.
Founded in 1913 and headquartered in Duarte, California, City of Hope is a remarkable non-profit institution, where compassion and advanced care go hand-in-hand with excellence in clinical and scientific research. City of Hope is a National Cancer Institute designated Comprehensive Cancer Center and a founding member of the National Comprehensive Cancer Network, an alliance of the nation’s leading cancer centers that develops and institutes standards of care for cancer treatment.
We are looking for an Assistant Research Professor to join the department of Molecular and Cellular Biology focusing on genomics and bioinformatics.
This role is to understand and apply state of the art genomic data analysis techniques to support lymphoma related clinical projects in collaboration with the Lymphoma Center at City of Hope. The candidate is expected to develop innovative workflow to apply bioinformatics and statistical analysis methods to large scale genomic data analysis. We are particularly interested in a candidate with experience in advanced single cell and bulk RNA-seq analysis, with innovative thinking. The job entails working with clinicians and experimentalists in the Lymphoma center and therefore the candidate should have strong communication skills.
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.
- 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.
- Posting Date: Sep 2, 2021
- Job Field: Research
- Employee Status: Regular
- Shift: Day Job
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