Senior Computational Scientist (NCI)

21701, Frederick
Apr 26, 2018
Required Education
Position Type
Full time


The Basic Science Program (BSP) pursues independent, multidisciplinary research in basic and applied molecular biology, immunology, retrovirology, cancer biology, and human genetics.  Research efforts and support are an integral part of the Center for Cancer Research (CCR) at the Frederick National Laboratory for Cancer Research (FNLCR).  The Cancer & Inflammation Program (CIP), Basic Science Program, HLA Immunogenetics Section, under the leadership of Dr. Mary Carrington, studies the influence of human leukocyte antigens (HLA) and specific KIR/HLA genotypes on risk of and outcomes to infection, cancer, autoimmune disease, and maternal-fetal disease. Recent studies have focused on the impact of HLA gene expression in disease, the molecular mechanism regulating expression levels, and the functional basis for the effect of differential expression on disease outcome.  The lab’s further focus is on the genetic basis for resistance/susceptibility to disease conferred by immunogenetic variation.


The Senior Computational Scientist will provide research support to the CIP-BSP-HLA Immunogenetics Section 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.

  • Successful candidate should have 5 or more years of competent, innovative biostatistics/bioinformatics research experience, beyond doctoral training
  • Considerable experience with statistical software, such as SAS, R and S-Plus
  • Sound knowledge, 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


To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

  • Possession of a doctoral degree from an accredited college or university according to the Council for Higher Education Accreditation. (Additional qualifying experience may be substituted for the required education). Foreign degrees must be evaluated for U.S. equivalency
  • In addition to educational requirements, a minimum of five (5) years of competent, innovative research in a field of specialty. Proficiency in developing test or production methods or protocols in an applied area; demonstrated ability to manage a production operation or a segment of a specialized service area
  • Must be familiar with computational tools available for molecular modeling.  This will include a detailed knowledge of the use of currently available commercial tools for structural analysis as well as the capability to develop novel computational tools or specific tasks
  • Must be able to obtain and maintain a security clearance


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

Expected Competencies:

  • Able to analyze data using statistical approaches such as longitudinal analysis, mixed effects modelling, logistic regression analyses
  • Provide biostatistical consultation to colleagues
  • Keep abreast of methodological/conceptual developments in biostatistics