Fred Hutchinson Cancer Research Center, home of three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research to eliminate cancer and other potentially fatal diseases. Recognized internationally for its pioneering work in bone-marrow transplantation, the Center’s five scientific divisions collaborate to form a unique environment for conducting basic and applied science. The Hutchinson Center, in collaboration with its clinical and research partners, the University of Washington and Seattle Children’s, is the only National Cancer Institute-designated comprehensive cancer center in the Pacific Northwest. Join us and make a difference!
About the Division
The mission of the Vaccine and Infectious Diseases Division (VIDD) of the Fred Hutchinson Cancer Research Center is to eliminate or minimize the worldwide impact of globally significant infectious diseases. The Division shares the Center’s values of scientific excellence, respect, openness, and innovation in the pursuit of its mission.
The Bioinformatician will develop analytical pipelines for the analysis of high-throughput assay data including RNA-Seq (and single-cell RNA-seq), microarrays, and/or high-dimensional single-cell assays (e.g. CyTOF, Fluidigm) generated through large collaborative projects such as the HIV Vaccine Trials Network, the Collaboration for AIDS Vaccine Discovery and the Human Immunology Project Consortium. He/She will then use computational approaches to integrate results from one or more high-throughput assay types along with immunological and clinical endpoints to help predict how the immune system responds to a particular infection or vaccination.
The Bioinformatician will integrate a dynamic team of (bio)-statisticians, bioinformaticians, computer scientists, and programmers lead by Dr. Raphael Gottardo at the Fred Hutchinson Cancer Research Center (FHCRC). The FHCRC provides a highly interactive and supportive environment for junior investigators to grow and develop their future career; it consistently ranks in the top places to work in academia, as surveyed by The Scientist.
The Bioinformatician will independently determine programmatic approaches to problems, and develop computational tools and software programs that are computationally efficient, effective, and well documented for public release. He/She will apply these tools to large datasets to generate novel biological insights and will communicate results to collaborators via conference calls and lab meetings. He/She will also be expected to contribute to manuscript preparation and to give presentation at both national international meetings.
Additional responsibilities may include some or all of the following:
a. Communicate with collaborators to understand and develop requirements and specifications for analysis.
b. Develop reproducible pipeline for data analysis of specific assay data (e.g., single-cell RNA-Seq)
c. Integrate multiple data types using system approaches for generating novel biological insights
d. Write detailed reports to be used to disseminate results to collaborators and prepare manuscripts
2. Data management and high performance computing
a. Implement creative solutions for large volume data management challenges (e.g. databases)
b. Create reusable high performance computing solutions for processing large data sets (e.g. write specific parallel code or scripts to send multiple jobs to a queue)
- MS degree in computer science, bioinformatics, statistics, biostatistics or related field; or BS and 2 or more years related experience.
- Proficient in R and another programming language
- Experience with version control tools (preferably git)
- Proficient with Bioconductor and C/C++
- Experience with relational databases, database schema design, SQL, postgress, and/or netCDF / HDF5 file formats
- Familiarity with bioinformatics workflows and online databases and web servers such as the Gene Expression Omnibus and the UCSC genome browser
- Familiarity with high performance computing and computing clusters
- Must be organized and detail-oriented, with good oral and written communication skills