Research Scientist/engineer 4 (RS/E 4) (temporary)

Research Scientist / Engineer 4

The Computational Ophthalmology Lab is leading collaborative efforts on large multidisciplinary research projects, using Big Data and machine learning. The Research Scientist / Engineer 4 (RS/E 4) will play a critical role in these important studies. This is a tremendous opportunity to grow as part of a very productive team. Under the technical guidance of an experienced scientist, the Research Scientist/Engineer 4 (RS/E 4) 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 RS/E 4 is expected to continue to develop their technical expertise and knowledge as it relates to data science, programming, machine learning, including reviewing recent literature, and implementing new techniques with limited supervision. The RS/E 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.

Responsibilities:

• Data Management & Infrastructure – 30% - 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.
• Analysis, Modeling, & Method Development – 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.
• Apply independent judgment to adapt and modify standard techniques, procedures, and criteria; devise new approaches to complex research problems as needed.
• Research Leadership, Writing, & Collaboration – 30% - 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.

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.

Compensation, Benefits and Position Details:

Pay Range Minimum: $90,000.00 annual

Pay Range Maximum: $105,000.00 annual

Other Compensation:

Benefits:

For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/

Shift: First Shift (United States of America)

Temporary or Regular? This is a temporary position

FTE (Full-Time Equivalent): 100.00%

Union/Bargaining Unit: Not Applicable

About the UW

Working at the University of Washington provides a unique opportunity to change lives – on our campuses, in our state and around the world. UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.

Our Commitment

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. 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.