University of Washington
Research Scientist/Engineer 3 (RS/E 3) (Temporary)
University of Washington, Seattle, Washington, us, 98127
Research Scientist/Engineer 3 (RS/E 3) (Temporary) – University of Washington
Job Description As a UW employee you have a unique opportunity to change lives on our campuses, in our state and around the world. The Computational Ophthalmology Lab is leading collaborative efforts on large multidisciplinary research projects, using Big Data and machine learning. In the role of Temporary Research Scientist/Engineer 3 you will play a critical role in these important studies and grow as part of a very productive team.
Responsibilities Data Management & Preparation – 35%
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 relevant information 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.
Analysis & Modeling – 40%
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.
Research, Writing & Collaboration – 25%
Review literature and recent advances in machine learning, data science, computer vision, and related research in ophthalmology.
Collaborate with team members to accomplish organizational goals and share technical expertise while working with limited supervision.
Write research manuscripts, reports, reviews, and summaries.
Perform other duties as assigned.
Minimum Requirements Bachelor's degree in Computer Science, Mathematics, Physics, Biostatistics or related field and 4 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 is highly desirable.
Excellent applied statistics skills such as distributions, statistical testing, regression, etc.
Great oral and written communication 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 Qualifications
Master’s or PhD in Biostatistics, Computer Science, Mathematics, Physics or related field AND three years of work experience in a related field OR four years of experience working in Biostatistics or Computer Science.
Excellence with common data science toolkits such as R, Weka, NumPy, MATLAB, etc.
Experience with deep learning – BIG PLUS!
Compensation, Benefits and Position Details Pay Range Minimum:
$75,000.00 annual Pay Range Maximum:
$90,000.00 annual Shift:
First Shift (United States of America) Temporary or Regular:
This is a temporary position FTE (Full‑Time Equivalent):
100.00% Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/
Equal Opportunity Statement The University of Washington is proud to be an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information. To request disability accommodation in the application process, contact the Disability Services Office at 206‑543‑6450 or dso@uw.edu. Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.
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Job Description As a UW employee you have a unique opportunity to change lives on our campuses, in our state and around the world. The Computational Ophthalmology Lab is leading collaborative efforts on large multidisciplinary research projects, using Big Data and machine learning. In the role of Temporary Research Scientist/Engineer 3 you will play a critical role in these important studies and grow as part of a very productive team.
Responsibilities Data Management & Preparation – 35%
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 relevant information 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.
Analysis & Modeling – 40%
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.
Research, Writing & Collaboration – 25%
Review literature and recent advances in machine learning, data science, computer vision, and related research in ophthalmology.
Collaborate with team members to accomplish organizational goals and share technical expertise while working with limited supervision.
Write research manuscripts, reports, reviews, and summaries.
Perform other duties as assigned.
Minimum Requirements Bachelor's degree in Computer Science, Mathematics, Physics, Biostatistics or related field and 4 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 is highly desirable.
Excellent applied statistics skills such as distributions, statistical testing, regression, etc.
Great oral and written communication 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 Qualifications
Master’s or PhD in Biostatistics, Computer Science, Mathematics, Physics or related field AND three years of work experience in a related field OR four years of experience working in Biostatistics or Computer Science.
Excellence with common data science toolkits such as R, Weka, NumPy, MATLAB, etc.
Experience with deep learning – BIG PLUS!
Compensation, Benefits and Position Details Pay Range Minimum:
$75,000.00 annual Pay Range Maximum:
$90,000.00 annual Shift:
First Shift (United States of America) Temporary or Regular:
This is a temporary position FTE (Full‑Time Equivalent):
100.00% Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/
Equal Opportunity Statement The University of Washington is proud to be an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information. To request disability accommodation in the application process, contact the Disability Services Office at 206‑543‑6450 or dso@uw.edu. Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.
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