University of Washington · 3 months ago
Research Scientist/Engineer 4 (RS/E 4) (Temporary)
Seattle, Non-Campus
Full-time, Contract
Hybrid
Mid, Senior Level
$90K/yr - $105K/yr
4+ years expThe University of Washington is a leading educational institution, and they are seeking a Research Scientist/Engineer 4 to join their Computational Ophthalmology Lab. The role involves applying data mining techniques, performing statistical analysis, and developing visualization techniques to assist with the diagnosis and understanding of various ophthalmic diseases using machine learning.
EducationHigher EducationUniversities
Responsibilities
Conduct data mining using state-of-the-art methods
Extend electronic medical record or imaging data with third-party sources of information when needed
Enhance data collection and extraction procedures to include information relevant for building analytic systems
Process, cleanse, and verify the integrity of data used for analysis
Perform data munging tasks to reshape data for statistical analyses, visualization, and machine learning
Perform data backup and basic computer hardware maintenance
Select features, build, and optimize classifiers using machine learning techniques
Perform statistical analyses with both traditional methods (e.g., survival analyses, mixed linear models, advanced imputation techniques) and machine learning approaches
Conduct ad-hoc analyses and present results in a clear and concise manner
Apply independent judgment to adapt and modify standard techniques, procedures, and criteria; devise new approaches to complex research problems as needed
Review literature and recent advances in machine learning, data science, computer vision, and related research in ophthalmology
Collaborate with investigators and team members to accomplish organizational goals and advance scientific knowledge
Write scientific manuscripts for publication in peer-reviewed journals in collaboration with investigators at UW and other institutions, domestic and international
Write or contribute to research manuscripts, reports, reviews, and summaries
Perform other duties as assigned
Qualification
Required
Master's degree in Computer Science, Mathematics, Physics, Biostatistics or related field and four years of relevant experience
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
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
Comply with NIH, Federal, state and University regulations on the safe and ethical use of animals and humans in research
Must have 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 excellent written and oral communication and interpersonal skills
Preferred
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 Biostatistics, Epidemiology or Computer Science. (Equivalent education/experience can substitute for minimum qualifications except where prohibited by legal requirements such as license/certificate/registration.)
Experience with Big Data analyses
Experience with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc
Familiarity with deep learning methods, such as CNNs and transformers
Experience with Linux system administration and knowledge of HIPAA compliance and FedRAMP 3PAO and NIST standards for security
Benefits
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/
Company
University of Washington
University of Washington is an educational institution that provides undergraduate, graduate, and research programs.
10001+ employees
H1B Sponsorship
University of Washington has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (249)
2024 (211)
2023 (159)
2022 (171)
2021 (169)
2020 (154)
Funding
Current Stage
Late StageTotal Funding
$205.35MKey Investors
Avista foundationNational Institute of Allergy and Infectious DiseasesAdvanced Research Projects Agency for Health
2025-04-21Grant· $0.01M
2024-09-13Grant
2024-08-13Grant· $21.1M
Leadership Team
Andrew S Allen
Adjunct Professor
Arthur Denny
Founder
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