A post-doctoral research position is available focusing on applying and developing computational and statistical tools to analyze whole genome and transcriptome sequencing data for personalized cancer medicine.

Essential functions

A post-doctoral research position is available focusing on applying and developing computational and statistical methods to analyze whole genome and transcriptome sequencing data for translational and clinical lymphoma research. This position will be part of collaboration between the Fehniger and Griffith labs at Washington University School of Medicine.

  • Analysis, integration and visualization of genomic changes in lymphoma including mutations, gene expression data, copy number and structural variation.
  • Association of genomic changes with clinical variables and outcomes in lymphoma.


One of only three NIH-funded large-scale genome centers in the United States, the McDonnell Genome Institute at Washington University is a leader in genomics research as it applies to the study of biology, human disease and the field of personalized medicine. Our mission is to improve the human condition by producing, studying, and interpreting high-quality genome-based data that drives biological discoveries that range from the bench to the hospital bedside. We value the open sharing of information and ideas and encourage collaboration while also engaging the next generation of scientists through educational outreach efforts. The Griffith lab focuses on informatics approaches to detecting molecular alterations in human cancers to improve our understanding of cancer biology and develop resources to facilitate personalized cancer medicine. The Fehniger lab studies benign and malignant lymphocyte molecular and cellular biology, and translating novel findings into new therapies or biomarkers for patients with leukemia and lymphoma.

As a postdoc in this lab you will benefit from a large and dynamic team of bioinformaticians, software engineers, and computationally minded molecular biologists while engaging with a dedicated group of basic, translational, and clinical scientists aimed at improving the outcomes for patients with lymphoma and related diseases.

Required qualifications

Applicants should have a graduate degree in biology, bioinformatics, computational biology, or related field with a solid background in programming and statistics. Candidates should be comfortable working on UNIX/Linux operating system, program with Perl and/or Python, and be familiar with statistical analysis packages (SAS, R, or Bioconductor). Also expected to be familiar with bioinformatics tools and genomics databases. The ability to analyze and interpret results to communicate with others and produce scientific publications is required.

Preferred qualifications

The successful candidate will be self-motivated, eager to acquire new knowledge and skills on a regular basis, and must demonstrate critical thinking skills. Previous experience in cancer genomics and lymphoma would be an advantage but is not essential.

To apply

Send resume, cover letter and three letters of reference to Dr. Obi Griffith at obigriffith@wustl.edu.

Salary range

The hiring range for this position is commensurate with experience.


This position is eligible for full-time benefits. Please visit the Human Resources postdoctoral benefits page for more information.

EOE statement

Washington University in St. Louis is an equal opportunity, affirmative action employer and encourages applications from women, ethnic minorities, veterans and individuals with disabilities.