Sponsor: Rubicon Genomics
Recording Date: 2/19/2014
Recording Time: 1 hour
This position is eligible for full-time benefits. Please visit our website at http://hr.wustl.edu to view a summary of benefits
A postdoctoral research position is available at The Genome Institute at Washington University School of Medicine in St. Louis in the area of Cancer Genomics. This individual will be responsible for development, implementation, and support of software applications related to variant detection and interpretation from high-throughput experiments involving hundreds of individuals.
Our group’s focus is on translating discoveries from large-scale sequencing into novel hypotheses and medically actionable information. This requires pioneering new software methods that work in tandem with cutting-edge genomic technology to identify variants that contribute to disease, including mutations, gene expression data, epigenetic modification, copy number, and structural variation. These drive more integrated analysis methods that fuel our understanding of biological function at the pathway and cellular levels. Using information from thousands of tumors across dozens of cancer types, we aim to address biological questions that were previously unanswerable about the origins and progression of cancer.
This position requires extensive communication and collaboration with our group of computational biologists, programmers, and clinicians, and includes opportunities to initiate and contribute to publication of novel methodologies and scientific findings.
1. Assists with grant preparation and reporting.
2. Prepares and submits papers on research.
3. Assists in the design of research experiments.
4. Evaluates research findings and assists in the reporting of the results.
5. Conscientious discharge of his/her research responsibilities.
6. Maintain conformity with ethical standards in research.
7. Maintain compliance with good scientific practices including the maintenance of adequate research records
8. Engage in open and timely discussion with his/her mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques privately or in publications.
9. Collegial conduct towards co-trainees, staff members and members of the research group.
10. Adherence to all applicable University policies, procedures and regulations. All data, research records and materials and other intellectual property generated in University laboratories remain the property of the University
A PhD in bioinformatics, computational biology or related field, with a solid background in programming and statistics.
Candidates should have 4+ years of experience in molecular biology, genetics, or bioinformatics. The position requires proficiency in programming (Perl, C++), UNIX-like operating systems, and experience with statistical analysis packages (SAS, R, Matlab, or Bioconductor). Applicants are also expected to be familiar with bioinformatics tools and genomics databases. The successful candidate will be self-motivated, eager to acquire new knowledge and skills on a regular basis, and must demonstrate critical thinking skills. The ability to analyze and interpret results and produce scientific publications is required. The ability to communicate well with others and work with teams of software developers and scientists is critical.
One of only three NIH-funded large-scale genome centers in the United States, The 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. Founded in 1993, The Genome Institute focuses on cancer genomics, the genomics of heritable diseases, microbial and pathogen genomics, as well as novel sequencing and evolutionary genomics.
Our mission is to help 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.