Research - Laboratory/Non-Laboratory, Staff/Administrative
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The Department of Ophthalmology has an outstanding opportunity for a Research Scientist 4.
There will be tremendous opportunity to grow as part of a very productive team. Under the technical guidance of an experienced scientist, the Research Scientist will apply data mining techniques, perform statistical analysis, develop visualization techniques, and build automated tools that can assist with diagnosis, prognosis, and understanding of the pathophysiology of various ophthalmic diseases using machine learning.
The Research Scientist is expected to continue to develop their technical expertise and knowledge as it relates to data science, programming, and machine learning, including reviewing recent literature and implementing new techniques with limited supervision. The Research Scientist 4 is expected to take the lead on manuscript writing and assist with the preparation of grant proposals, and to develop independent research, if desired.
This is an advanced level research position. The Research Scientist is expected to demonstrate initiative and the ability to troubleshoot independently with limited supervision. •Data mining using state-of-the-art methods •Selecting features, building and optimizing classifiers using machine learning techniques •Extending the electronic medical record or imaging data with third party sources of information when needed •Enhancing data collection and extraction procedures to include information that is relevant for building analytic systems •Processing, cleansing, and verifying the integrity of data used for analysis •Data munging tasks to reshape data for statistical analyses, data visualization, and machine learning •Doing ad-hoc analysis and presenting results in a clear manner •Performing statistical analyses with traditional and machine learning methods •Collaborate with other team members to accomplish organizational goals and to learn new approaches and tasks while working under limited supervision •Review literature and recent advances in machine learning, data science, computer vision, and related research in ophthalmology •Write scientific manuscripts for publication in peer-reviewed journals in collaboration with relevant investigators at the University of Washington and at other institutions, foreign and domestic •Write, or contribute to, research manuscripts, reports, reviews and summaries •Data backup and basic computer hardware maintenance •Perform related duties as required
MINIMUM REQUIREMENTS •Master’s degree in Computer Science, Mathematics, Physics, Biostatistics or related field AND at least four years of work experience in a related field
Additional Requirements: •Excellent scripting and programming skills including: Java, SQL, Python, Torch, Lua, Linux •Experience working in headless server environments •Desire to learn novel computational techniques and understanding of scaling processes •Proficiency with Microsoft Office suite of programs including Word, PowerPoint and Excel •Flexibility to learn new technologies, APIs, and SDKs by reading documentation •Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. •Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable •Excellent applied statistics skills, such as distributions, statistical testing, regression, etc •Excellent oral and written communication skills, including presenting data and results at meetings •Must have strong determination and a logical and independent mind to complete each project •Must have very strong organizational abilities and experience in a team-focused work environment with strong interpersonal skills •Comfortable leading multiple projects from start to finish •Ability to multitask, plan, and participate in different projects •Ability to solve well defined problems using accepted methods and techniques •Must comply with NIH, Federal, state and University regulations on the safe and ethical use of animals and humans in research
Equivalent education and/or experience may substitute for minimum requirements.
DESIRED REQUIREMENTS •PhD degree in Computer Science, Mathematics, Physics, Biostatistics or related field AND at least four years of work experience in a related field OR five years of experience working in computer science
CONDITIONS OF EMPLOYMENT 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 Work 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.
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.