Research ScientistEngineer 4 (RSE 4) (Temporary)

Job Description

OVERVIEW:

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:

This is an advanced level research position. The RS/E 4 is expected to demonstrate initiative and troubleshoot independently.

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.

- Perform other duties as assigned.

REQUIRED:

Masters 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.

DESIRED:

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

Compensation Benefits and Position Details

Pay Range Minimum:

Pay Range Maximum:

Other Compensation:

Benefits:

Temporary or Regular

FTE (Full-Time Equivalent):

Union/Bargaining Unit:

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 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 committed to fostering an inclusive respectful and welcoming community for all. As an equal opportunity employer the University considers applicants for employment without regard to race color creed religion national origin citizenship sex pregnancy age marital status sexual orientation gender identity or expression genetic information disability or veteran status consistent with UW Executive Order No. 81.

To request disability accommodation in the application process contact the Disability Services Office at or .

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.