Laboratory of Human Carcinogenesis
Multiple Positions Available:
Research Area Keywords:
SAS, R, program code
The Laboratory of Human Carcinogenesis (LHC) pursues independent, multidisciplinary research integrating basic, translational, clinical, and population studies. Research efforts and support are an integral part of the Center for Cancer Research (CCR) at the National Cancer Institute (NCI). The Liver Carcinogenesis Section (LCS) of LHC, under the leadership of Dr. Xin Wei Wang, centers on functional genomics of liver cancer to define tumor subtypes and identify biomarkers for early detection, diagnosis, prognosis and prediction as well as delineating the molecular mechanisms of liver cancer with applications towards precision medicine.
The Computational Scientist will provide research support to the LCS performing bio-statistical design, analysis and reporting of research projects conducted in the lab. This individual will be involved in the implementation of statistical models and data preparation to address biological question related to liver cancer.
The successful candidate should have considerable experience with statistical software, such as R, STATA, and other programming skills, and demonstrated experience of theoretical and applied statistics
Write program code to analyze data using statistical analysis software
Contribute to the interpretation and publication of research results
Contribute to project design, devise pipelines for data analysis, assist in interpreting results and author or co-author manuscripts as appropriate.
The successful candidate will lead us in bioinformatics by keeping current with best practices for analyzing many types of omics data and will train fellows and other personnel in these analyses.
Number of Positions:
Number of References Required:
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
Applicants should hold a Ph.D., M.D. or equivalent doctoral degree from an accredited college or university according to the Council for Higher Education Accreditation with no more than 5 years of post-doctoral experience in cancer biology and/or systems biology. (Additional qualifying experience may be substituted for the required education). Foreign degrees must be evaluated for U.S. equivalency.
Applicants should have a record of publications that provide evidence of their expertise in competent, innovative research in a field of specialty. Proficiency in developing test or production methods or protocols in an applied area; Must be familiar with computational tools available for molecular analysis. This will include a detailed knowledge of the use of currently available commercial tools for statistical analysis as well as the capability to develop novel computational tools or specific tasks
Candidates with these desired skills will be given preferential consideration:
Experience with computational protocols, experience developing, implementing, and using databases
Ability to perform complex statistical analyses
Able to analyze data using statistical approaches including longitudinal analysis, mixed effects modelling, logistic regression analyses
Provide biostatistical consultation to colleagues
Keep abreast of methodological/conceptual developments in biostatistics
Please contact Xin Wei Wang, Ph.D.
Senior Investigator and Deputy Chief, Laboratory of Human Carcinogenesis
Co-Director, Liver Cancer Program
Center for Cancer Research
National Cancer Institute, NIH