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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. U...

Temporary Fulltime Remote Machine Learning

$75k - $90k · Senior Fully remote

Apply

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. U...

Temporary Fulltime Remote Machine Learning

$90k - $105k · Senior Fully remote

Apply

Selected role

Research Scientist Engineer 3

Unknown Company Seattle, WA, US

Live

$75k - $90k · Senior Full-time Posted 25 days ago 5 min read

Job Description

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.

RESPONSIBILITES:

This is a mid-level research position. The research scientist is expected to demonstrate initiatives and abilities to troubleshoot independently under limited supervision.

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 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 – 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.

Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.

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.
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

Must have determination and a logical and independent mind to complete each project. Must have strong organizational abilities and experience in a team-focused work environment with excellent written and oral communication and interpersonal skills.

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. (Equivalent education/experience can substitute for minimum qualifications except where prohibited by legal requirements such as license/certificate/registration.)

Excellence with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc.
Experience with deep learning a BIG PLUS!

Compensation, Benefits and Position Details

Pay Range Minimum:

$75,000.00 annual

Pay Range Maximum:

$90,000.00 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 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 .

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.

Job Types: Full-time, Temporary

Pay: $75,000.00 - $90,000.00 per year

Benefits:

401(k)
Commuter assistance
Dental insurance
Employee discount
Flexible spending account
Health insurance
Health savings account
Paid time off
Tuition reimbursement
Vision insurance

Work Location: Hybrid remote in Seattle, WA 98109

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