Location: Olympia, WA
Company: Washington State Senate
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Research & Development (R&D) jobs involve the creation of new knowledge, products, or processes through innovation and rigorous investigation. These roles are often found in sectors like pharmaceuticals, technology, manufacturing, and academics. Key features include data analysis, experimental design, prototyping, and intellectual property management. R&D professionals are typically highly educated and possess a strong background in their field of expertise. The overarching goal of R&D jobs is to drive progress, improve existing offerings, and maintain competitive advantage through cutting-edge solutions and discoveries.
Research & Development (R&D) jobs involve creating new products or improving existing ones through innovative processes in a variety of industries such as technology, pharmaceuticals, engineering, and consumer goods. R&D professionals are typically highly educated and skilled in scientific research, product development, and problem-solving. They work to push the boundaries of knowledge, often in laboratory settings or in the field, and contribute directly to a company's growth and competitiveness by turning novel ideas into marketable solutions. Such roles demand creativity, technical expertise, and a forward-thinking mindset geared towards technological advancement and market trends.
medicine projects. We use a statistical machine learning approach to address problems in biomedical research, including modeling variation in the non-coding genome, identifying genetic variation that contributes to disease, and analyzing multi-omics data. Our research is at the interface of Machine Learning and Statistical Genetics.
We develop and apply mathematical frameworks, statistical models, and deep learning to address the computational challenges of analyzing genome variation and its effect on human health. We participate in basic research as part of large functional genomics consortia and collaborate closely with medical doctors in the clinic to ensure a translational impact.
For more information, visit our lab website: pejlab. org or contact Dr. Mohammadi directly via email position involves developing theoretically solid and biologically justified models and analysis pipelines for large genomic data.
Thus, experience in any of the following areas is of interest: Genetics, Statistical Genetics, NGS data analysis, Bioinformatics, Machine Learning, Probabilistic Modeling, Statistics, Computer Science, and Optimization. Extensive programming experience is necessary for all candidates. The Genomic Data Modeling lab works at the interface of statistics and genomics. Our offices are located in downtown Seattle at the Center for Immunity and Immunotherapies at the
Seattle Children's Research Institute. We are affiliated with the University of Washington School of Medicine and the Department of Genome Sciences and have close collaborations with other Seattle area research institutes, such as the neighboring Fred Hutchinson Cancer Center in downtown Seattle.
Requirements Required Education/Experience: - Ph D Degree level in Genetics, Genomics, Bioinformatics, Computer Science, Physics and related fields OR - Master's Degree in Genetics, Genomics, Bioinformatics, Computer Science, Physics and related fields plus minimum three (3) years of related experience OR - Bachelor's Degree in Genetics, Genomics, Bioinformatics, Computer Science, Physics and related fields plus minimum five (5) years of related experience with a strong publication record - Related work experience varies by lab / position, as it relates to the research projects and research field assigned to this position- Daily lab tasks as assigned.
Required Credentials: - N/A Preferred: - Ph D in relevant specialty area or closely related field - Substantial prior experience in population genomics. - Strong background in data analysis or modeling- Experience with Next generation sequencing data analysis Min to Max Hourly Salary $36.75 - $55.12 /hr Min to Max Annual Salary $76,431.00 - $114,647.00 /yr Salary Information This compensation range was calculated based on full-time employment (2080 hours worked per calendar year).
Offers are determined by multiple factors including equity, skills, experience, and expertise, and may vary within the range provided. The union pay ranges can be found on the Seattle Children's website here: WSNA - UFCWSeattle Children's offers annual incentive pay based upon performance that is commensurate with the level of the position. Disclaimer for Out of State Applicants This compensation range is specific to Seattle, positions located outside of Seattle may be compensated differently depending on various factors.
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