1+ months

Research Scientist 3 (Temporary)

University of Washington
Seattle, WA 98104

Research Scientist 3 (Temporary)

Req #: 172728
Department: Ophthalmology
Appointing Department Web Address: https://ophthalmology.washington.edu/
Job Location: Other Location
Posting Date: 12/18/2019 
Closing Info: Open Until Filled 
Salary: Salary is Competitive. Salary is Commensurate Upon Qualifications and Experience. 
Shift: First Shift 
Notes: 12/18/2019: This is a RE-POSTING. Candidates who recently applied do not need to re-apply and are still in consideration.  

The University of Washington (UW) is proud to be one of the nations premier educational and research institutions. Our people are the most important asset in our pursuit of achieving excellence in education, research, and community service. Our staff not only enjoys outstanding benefits and professional growth opportunities, but also an environment noted for diversity, community involvement, intellectual excitement, artistic pursuits, and natural beauty.

The University of Washingtons Department of Ophthalmology has an outstanding opportunity open for a Temporary 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.


Purpose of the Research Project: Advanced data manipulation for machine learning for Big Data in Ophthalmology

This is a mid-level of 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


Bachelor's degree in Computer Science, Mathematics, Physics, Biostatistics or related field AND three to five years of work experience in a related field
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  
Perform related duties as required.

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 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.

Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.

The University of Washington is a leader in environmental stewardship & sustainability, and committed to becoming climate neutral.

The University of Washington is an equal opportunity, affirmative action employer. To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 / 206-543-6452 (tty) or dso@uw.edu.


Posted: 2019-12-05 Expires: 2020-02-15

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Research Scientist 3 (Temporary)

University of Washington
Seattle, WA 98104
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