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University of Washington RESEARCH SCIENTIST 3 in Seattle, Washington

Req #: 197949


Posting Date: 10/14/2021

Closing Info: Closes On 10/21/2021

Salary: Salary is commensurate with education and experience

Shift: First Shift

Notes: As a UW employee, you will enjoy generous benefits and work/life programs. For detailed information on Benefits for this position, click here. (

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. The Department of Ophthalmology has an outstanding opportunity for a Research Scientist 3. Under the technical guidance of an experienced scientist, the Research Scientist 3 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. Candidate is expected to continue in the development of technical expertise and knowledge related to data science, programming, machine learning, review the recent literature, and implement new techniques under supervision. RESPONSIBILITIES: This is a mid-level research position. The Research Scientist is expected to demonstrate initiatives and abilities to troubleshoot independently under 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 • Data backup and basic computer hardware maintenance • Writing research manuscripts, reports, reviews and summaries • Perform related duties as required MINIMUM REQUIREMENTS: • Bachelor’s degree in Computer Science, Mathematics, Physics, Biostatistics or related field AND 3 year of work experience in a related field. Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration. 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. • Great oral and written communication skills. • Must have strong determination and a logical and independent mind to complete each project. • Must have very strong organizational abilities and experience in team focused work environment with excellent written and oral communication and interpersonal skills. • Ability to multitask 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. DESIRED EXPERIENCE • Master’s or PhD degree in Computer Science, Mathematics, Physics, Biostatistics or related field AND 3 years of work experience in a related field. 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.

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.