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RESEARCH SCIENTIST/ENGINEER 3
University of Washington
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RESEARCH SCIENTIST/ENGINEER 3
University of Washington
Details
Salary:
Open
Type:
Full Time
| As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem solving skills and dedication to build stronger minds and a healthier world. UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty. All of which has allowed the UW to be nationally recognized as a “Great College to Work For” for six consecutive years. The UW Department of Pediatrics is dedicated to improving the health of all children by educating physicians of the future, advancing research, advocating for children, and providing the nation's best pediatric clinical care. We are committed to building a diverse and inclusive faculty and staff. The Division of Genetic Medicine is currently recruiting for a Research Scientist/Engineer 3 (RSE3) in the Chong Lab . The RSE3 position will be in the field of human genetics. The RSE3 will research and develop machine learning methods that integrate genetic and phenotypic data to assist in diagnosis of and research into the causes of rare genetic conditions (also called Mendelian conditions, or rare diseases). The RSE3 will collaborate with clinical experts and researchers in human genetics and machine learning/data science. RESPONSIBILITIES: Job duties include but are not limited to: •Testing standard machine learning models (e.g., NMF, LDA, random forest, decision trees) •Feature engineering (different vectorization methods to accommodate domain-specific data) •Research, design, and create custom models to handle data with dependent relationships (e.g. ontologies) •Adapting or developing and validating simulated and real datasets for use in model evaluation •Enhancing data collection and extraction procedures for relevant data •Assessing models for bias due to correlated noise •Performing statistical analyses with traditional and machine learning methods •Contribute to preparation of research manuscripts, reports, presentations, reviews, and summaries •Actively participate and present summaries of work progress at group meetings •Other duties as assigned REQUIREMENTS: •Master’s Degree in Computer Science, Data Science, Biostatistics, Computational Biology, Genetics or related field or equivalent work/education experience •Three or more years of relevant work experience •Basic understanding of genetics (e.g. rare/Mendelian vs complex traits, modes of inheritance) •Ability to communicate clearly in written and oral communications is essential •Must be comfortable working independently, taking the initiative to explore possible solutions, and doing both as part of a team •Expertise in common data science toolkits (e.g. Python, scikit-learn) •Excellence with machine learning techniques, particularly NMF, LDA, and decision trees •Flexibility to take on additional tasks as necessary to accomplish team goals Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration. DESIRED EXPERIENCE • Familiarity with genetic mutation nomenclature/concepts and clinical finding terminology • Experience developing custom probabilistic models and/or experience applying deep learning methods to build context-aware recommender systems Conditions of Employment: The employee will receive training in human subjects research and will be required to demonstrate knowledge and understanding of, and maintain confidentiality of patient privacy rights, employee information, Department of Pediatrics strategic plans and initiatives, financial information or other sensitive materials and information in printed, electronic or verbal form, which may jeopardize employee rights, the organization’s operations or privacy of patients. They will access and use the minimum necessary information to perform job responsibilities and duties and only for authorized purposes. Application Process: The application process for UW positions may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These assessments may include Workforce Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select “Apply to this position”. Once you begin an assessment, it must be completed at that time; if you do not complete the assessment you will be prompted to do so the next time you access your “My Jobs” page. If you select to take it later, it will appear on your "My Jobs" page to take when you are ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed. | |||
Internal Number: 184534
About University of Washington
Founded in 1861, the University of Washington is one of the oldest public institutions in the west coast and one of the preeminent research universities in the world. The University of Washington is a multi-campus university comprised of three different campuses: Seattle, Tacoma, and Bothell. The Seattle campus is made up of sixteen schools and colleges that serve students ranging from an undergraduate level to a doctoral level. The university is home to world-class libraries, arts, music, drama, and sports, as well as the highest quality medical care in Washington State and a world-class academic medical center. The teaching and research of the University’s many professional schools provide undergraduate and graduate students the education necessary toward achieving an excellence that will serve the state, the region, and the nation. As part of a large and diverse community, the University of Washington serves more students than any other institution in the Northwest.
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