Research Scientist/Engineer 3 (RS/E 3) (Temporary)

University of Washington • Campus, IL

69d • $75,000 - $90,000

About The Position

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 Computational Ophthalmology Lab is leading collaborative efforts on large multidisciplinary research projects, using Big Data and machine learning. The Temporary Research Scientist / Engineer 3 (RS/E 3) 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 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. The RS/E 3 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.

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.
• 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.

Nice To Haves

• 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 a BIG PLUS!

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 and machine learning approaches.
• Conduct ad-hoc analyses and present results in a clear and concise manner.
• 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.

Benefits

• Outstanding benefits
• Professional growth opportunities
• Unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits, and natural beauty.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Educational Services
• Education Level: Bachelor's degree