About City of Hope
City of Hope is an independent biomedical research and treatment organization for cancer, diabetes and other life-threatening diseases.
Founded in 1913, City of Hope is a leader in bone marrow transplantation and immunotherapy such as CAR T cell therapy. City of Hope's translational research and personalized treatment protocols advance care throughout the world. Human synthetic insulin, monoclonal antibodies and numerous breakthrough cancer drugs are based on technology developed at the institution. AccessHope™, a subsidiary launched in 2019 serves employers and their health care partners by providing access to City of Hope's specialized cancer expertise.
A National Cancer Institute-designated comprehensive cancer center and a founding member of the National Comprehensive Cancer Network, City of Hope is ranked among the nation's "Best Hospitals" in cancer by U.S. News & World Report and received Magnet Recognition from the American Nurses Credentialing Center. Its main campus is located near Los Angeles, with additional locations throughout Southern California and in Arizona.City of Hope's commitment to Diversity, Equity and Inclusion
We believe diversity, equity and inclusion is key in serving our mission to provide compassionate patient care, drive innovative discovery, and advance vital education focused on eliminating cancer and diabetes in all of our communities. Our commitment to Diversity, Equity and Inclusion ensures we bring the full range of skills, perspectives, cultural backgrounds and experiences to our work -- and that our teams align with the people we serve in order to build trust and understanding. We are dedicated to fostering a community that embraces diversity - in ideas, backgrounds and perspectives; this is reflected in our work and represented in our people.Position Summary
City of Hope is recruiting an Assistant Research Professor/Biostatistician for a non‐tenure track faculty appointment. The position will apply state of the art genomic data analysis techniques to support basic and translational projects 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.Basic education, experience and skills required for consideration:
Preferred education experience and skills:
- U.S. equivalent Ph.D. degree in Bioinformatics, Computer Science with strong background in genomic analysis.
- Experience in advanced DNA-seq and RNA-seq analysis, with innovative thinking. The candidate must be a fast learner and self-motivated.
- Working with clinicians and biologists in the COH cancer center and therefore the candidate should have strong communication skills.
- 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 RNA-seq, WGS, and whole exome-seq from Illumina NovaSeq/ miSeq and/or PacBio SMRT sequencing
- Experience with methyl-seq and ChIP-seq data is a plus
- 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, STAR, IGV, VARSCAN, GATK, ANNOVAR, IPA, etc.
- Knowledge of molecular biology preferred.
- Experience with statistical, spreadsheet, graphics and word-processing software packages.
- Experience with methyl-seq and ChIP-seq analysis is a plus.
- As a condition of employment, City of Hope requires staff to comply with all state and federal vaccination mandates.
- For more information on Dr. Xiwei Wu's research, please visit here .
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.