BACKGROUND: John A. Burns School of Medicine. Regular, Full-Time, RCUH Non-Civil Service position with the John A. Burns School of Medicine (JABSOM), Office of Bioinformatics Core, Department of Quantitative Health Sciences, located at the University of Hawai`i (UH) at Manoa, Kaka'ako Campus on Honolulu, Hawai`i. JABSOM ranks No. 56 in best medical schools: research in 2019, and ranked No. 41 in 2018. The Bioinformatics core also supports the University of Hawaiʻi Cancer Center which is the only National Cancer Institute-designated cancer center in Hawaiʻi and the Pacific.
RESPONSIBILITIES: Analyzes high-throughput, microarray, next- and third-generation sequencing "omics" data, including data from genomics, transcriptomics, proteomics, epigenomics, metabolomics, and metagenomics experiments. Interacts closely with physician scientists and bioscience researchers to facilitate precision medicine development by analyzing and interpreting vast amounts of "omics" and clinical data. Assists in the preparation of grant applications. Writes peer-reviewed abstracts, publications, and manuscripts. Contributes to data management and research methods development. Oversees graduate students and undergraduate assistants. Focuses on NIH (R-01) funded translational medicine study and identifying biomarkers for early detection of cancer and prediction of clinical outcomes of cancer treated with different strategies. The projects are highly valuable for clinical use with potential industrial application as well as with great basic scientific knowledge.
COMPENSATION: Salary is competitive and commensurate with qualifications.
Education/Training: Master or Doctor Degree from an accredited college or university in Bioinformatics, Computational Biology, Molecular Biology, Biochemistry, Computer Science, Statistics, Engineering or a related field.
Experience: Experience using statistics and bioinformatics software. Experience in UNIX operating systems, or equivalent. Experience working in bioinformatics projects. Experience with high-performance computing environments and computer programming. Experience writing peer-reviewed abstracts and publications.
Abil/Know/Skills: Knowledge of advanced bioinformatics techniques applicable to clinical research. General knowledge of medical terminology. Knowledge of human genetics and the next generation sequencing data analysis. Working knowledge of at least one (1) programming language (such as R or Python). Ability to be flexible, work on multiple tasks and meet deadlines. Ability to communicate effectively both orally and in writing. Ability to implement components of a bioinformatics software pipeline to analyze next generation sequencing and microarray data. Ability to handle multiple tasks and demands. Strong analytical skills.
Post Offer/Employment Condition: Must be able to pass a post offer criminal background check.
HOW TO APPLY Please go to www.rcuh.com and click on "Job Postings." The position ID# is 19545. You may also submit your application including cover letter, resume and supervisory references to firstname.lastname@example.org