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RESEARCH SCIENTIST ENGINEER 2
RESEARCH SCIENTIST ENGINEER 2 |
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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 University of Washington’s Department of Ophthalmology has an outstanding opportunity open for a Temporary Research Scientist 2 in the Lee Computational Ophthalmology Lab. The Lee Computational Ophthalmology Lab is leading collaborative efforts on large multidisciplinary research projects, using Big Data and machine learning, involving the relationship between the eye and brain. The Research Scientist/Engineer 2 will play a critical role in these important studies. Under supervision, the Research Scientist 2 will apply statistical analyses and data mining techniques to extract, clean, and analyze various sources of data. The RS will also apply the knowledge of statistics to assist with clinical study design, protocol development and statistical analysis of the clinical studies. The Research Scientist will also review project related documents, prepare Statistical Analysis Plans and statistical reports, and participate in presentations and writing manuscripts. 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. Responsibilities Scientific Research Activities: 100% The research scientist is expected to demonstrate initiatives and troubleshoot under limited supervision. • Perform statistical analyses including survival analyses, mixed linear models, Bayesian models, and advanced imputation techniques. • Data mining using state-of-the-art methods • 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 • Performing statistical analyses with traditional and machine learning methods • Working with Big data sources such as the electronic medical record or imaging data • Enhancing data collection and extraction procedures to include information that is relevant for building analytic systems • 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 biostatistics, 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 Requirements • Bachelor’s Degree in Computer Science, Mathematics, Physics, Biostatistics or related filed AND 1-2 years of experience. • Advanced knowledge and experience in at least in one of two fields between Biostatistics or Computer Science is a requirement and knowledge and experience in both fields is strongly preferred. • Excellent applied statistics skills, such as distributions, statistical testing, regression, etc. • 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 • 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 Desired • Master’s or PhD in Biostatistics, Computer Science, Mathematics, Physics or related field AND 1 year of work experience in a related field OR with at least 2 years of experience working in Biostatistics or Computer Science. (Equivalent education/experience can substitute for minimum qualifications except where prohibited by legal requirements such as license/certificate/registration.) 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. |
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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 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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