Required qualifications for this position include:
• Ph.D. degree in Biology, Molecular Biotechnology, Biochemistry, Biomedical Engineering, Physics, Computer Science, Mathematics, or related scientific discipline pertinent to research area.
• 2-5 years of directly relevant experience in a research environment (this experience may be acquired through post-doctoral work).
• Working knowledge of computers (either DOS-based or Macintosh), standard office software packages (Word, WordPerfect, Lotus, Excel, Access, Power Point, etc.), standard office equipment (photocopiers, facsimiles, telephones, pagers, etc.).
• Expected to have baseline technical skills and the ability to communicate effectively and appropriately over email, the intranet/forum, etc.
• Excellent communicator, both written and verbal.
• Professional writing skills and presentation skills.
• Must have good interpersonal and communications skills; able to work effectively with variety of people in a diverse workforce; adaptable to changing work requirements; willing to multi-task; high degree of professional integrity; strong client service orientation.
• Must have demonstrated success in scientific creativity, collaboration, and independent thought.
• Very strong research background in bio-informatics and associated research methodologies with strong publication record.
• At least one year experience in and understanding of molecular databases and programs for database mining and performing statistical analysis.
• Experience with algorithm development for genomic and proteomic analysis, as demonstrated by strong publication record.
• Strong understanding of research technology tools for bio-informatics, high-performance computing (HPC) and data visualization.
• Experience with one or more widely used mathematical software applications such as Matlab, R, Mathematica, Maple, Stata, etc.
• Working knowledge in “QCing” and troubleshooting automated analyses and annotations of sequencing data.
• Working knowledge in at least one of the following analytical domains: microarray analysis (mRNA, miRNA), next generation sequencing (RNA-seq, ChIP-seq, Exome-seq) or sequence assembly and analysis, or pathway and functional genome analysis with a focus on cancer.
• Extensive experience with UNIX/Linux based systems.
• Working knowledge in data visualization and management software and practices.
• Demonstrated experience using Python, Perl, Java and/or C/C++.
• Familiar with commonly used databases and bioinformatics tools for NGS data analysis (e.g. bedtools, samtools, IGV, annovar, bowtie, GATK, ChimeraScan, UCSC Genome Browser, etc.) is preferred.
• Experience with an open-source web framework (e.g. Django, Sinatra, Rails or others), open source data management tools, and HPC environments are preferred.
• Demonstrated experience working with multi-disciplinary team of physicians (surgeons, oncologists, pathologists, and radiologists), cancer biologists, programmers and statisticians.
About the First Hill Campus
The 697-bed tertiary-care center on the Swedish/First Hill campus is the flagship of the Swedish health-care system. Swedish/First Hill has one of the most active and advanced birthing programs in Washington state and houses a Level III neonatal intensive-care unit. More surgeries are performed each year at Swedish/First Hill than at any other facility in the region; volumes include more total joint replacements than any other medical center in the state.
Swedish is an Equal Opportunity Employer.