Job Description:
The Bioinformatics Scientist is responsible for applying bioinformatics and advanced data management modeling techniques to multimodal genomic and proteomic datasets with the goals of advancing medical knowledge and improving patient outcomes. Works collaboratively with clinicians, clinical data/analytics and other IT and informatics personnel. Responsible for participation and contribution to the establishment of large-scale datasets integrating clinical and –omic data, for the purposes of: mining the datasets; exploring interactions between molecular and clinical phenotypes to formulate hypotheses; and identifying predictive and prognostic markers of disease and disease progression. Provide expert direction and leadership for establishing and advancing genomic and bioinformatics research, and the related computational infrastructure in support of research and clinical objectives.
In this position you will:
• Manage project(s) or a specific aspect of a project, and is accountable for meeting established deadlines.
• Design, direct, and evaluate scientific experiments appropriate to project objectives.
• Propose new project ideas and participate in new project proposal meetings.
• Participate in writing project updates and reports, proposals, scientific articles, and patent applications.
• Maintain current knowledge of research literature and activity in bioinformatics and computational biology and applies state-of-the-art concepts and technologies. 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.
• Experience with HTML/CSS, Javascript and SQL or NoSQL databases is 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.
Job Information
Position Type: Scientist Reference (Job ID number): 79106
Start Date: TBD
Duration: Full Time
Status: open
Contact Information
Swedish Medical Center
Tumor Institute at Swedish First Hill
http://SwedishCareers.org
How To Apply:When applying online, please reference job number 79106.
Apply online:
http://50.73.55.13/counter.php?id=45106
Additional Info:
[Click Here to Access the Original Job Post]
ISCB Job Board
Bioinformatics ScientistSwedish Medical CenterTumor Institute at Swedish First HillUSA-WA-Seattle Where you work matters! Swedish Medical Center is looking for a 1.0FTE Bioinformatics Scientist to work Day Shift for the Tumor Institute at Swedish First Hill in Seattle, WA.The Bioinformatics Scientist is responsible for applying bioinformatics and advanced data management modeling techniques to multimodal genomic and proteomic datasets with the goals of advancing medical knowledge and improving patient outcomes. Works collaboratively with clinicians, clinical data/analytics and other IT and informatics personnel. Responsible for participation and contribution to the establishment of large-scale datasets integrating clinical and –omic data, for the purposes of: mining the datasets; exploring interactions between molecular and clinical phenotypes to formulate hypotheses; and identifying predictive and prognostic markers of disease and disease progression. Provide expert direction and leadership for establishing and advancing genomic and bioinformatics research, and the related computational infrastructure in support of research and clinical objectives.
In this position you will:
• Manage project(s) or a specific aspect of a project, and is accountable for meeting established deadlines.
• Design, direct, and evaluate scientific experiments appropriate to project objectives.
• Propose new project ideas and participate in new project proposal meetings.
• Participate in writing project updates and reports, proposals, scientific articles, and patent applications.
• Maintain current knowledge of research literature and activity in bioinformatics and computational biology and applies state-of-the-art concepts and technologies. 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.
• Experience with HTML/CSS, Javascript and SQL or NoSQL databases is 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.
Job Information
Position Type: Scientist Reference (Job ID number): 79106
Start Date: TBD
Duration: Full Time
Status: open
Contact Information
Swedish Medical Center
Tumor Institute at Swedish First Hill
http://SwedishCareers.org
How To Apply:When applying online, please reference job number 79106.
Apply online:
http://50.73.55.13/counter.php?id=45106
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]