University of Washington
Research Scientist / Engineer 2 (RS/E 2) (Temporary)
University of Washington, Seattle, Washington, us, 98127
Research Scientist / Engineer 2 (RS/E 2) (Temporary)
University of Washington
As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world.
Responsibilities
Data Management & Preparation – 40%
Conduct data mining using state-of-the-art methods.
Extend electronic medical record or imaging data with third-party sources when needed.
Enhance data collection and extraction procedures to include information relevant for building analytic systems.
Perform data munging tasks to reshape data for statistical analyses, visualization, and machine learning.
Process, cleanse, and verify the integrity of data used for analysis.
Work with large data sources such as electronic medical records or imaging data.
Perform data backup and basic computer hardware maintenance.
Analysis & Modeling – 35%
Select features, build, and optimize classifiers using machine learning techniques.
Perform statistical analyses with 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 manner.
Research, Writing, & Collaboration – 25%
Review literature and recent advances in machine learning, data science, computer vision, and related research in ophthalmology.
Collaborate with other team members to accomplish organizational goals and learn new approaches while working under limited supervision.
Write research manuscripts, reports, reviews, and summaries.
Perform other duties as assigned.
Required Bachelor's degree in Computer Science, Mathematics, Physics, Biostatistics or related field and two years of relevant experience.
Advanced knowledge and experience in at least one of two fields - Computer Science or Biostatistics - is required.
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.
Desired
Master’s or PhD in Biostatistics, Computer Science, Mathematics, Physics or related field AND two years of work experience in a related field OR at least three 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!
Compensation, Benefits And Position Details
Pay Range Minimum:
$61,920.00 annual
Pay Range Maximum:
$75,000.00 annual
Benefits:
For information about benefits for this position, visit
Benefits page .
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.
#J-18808-Ljbffr
As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world.
Responsibilities
Data Management & Preparation – 40%
Conduct data mining using state-of-the-art methods.
Extend electronic medical record or imaging data with third-party sources when needed.
Enhance data collection and extraction procedures to include information relevant for building analytic systems.
Perform data munging tasks to reshape data for statistical analyses, visualization, and machine learning.
Process, cleanse, and verify the integrity of data used for analysis.
Work with large data sources such as electronic medical records or imaging data.
Perform data backup and basic computer hardware maintenance.
Analysis & Modeling – 35%
Select features, build, and optimize classifiers using machine learning techniques.
Perform statistical analyses with 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 manner.
Research, Writing, & Collaboration – 25%
Review literature and recent advances in machine learning, data science, computer vision, and related research in ophthalmology.
Collaborate with other team members to accomplish organizational goals and learn new approaches while working under limited supervision.
Write research manuscripts, reports, reviews, and summaries.
Perform other duties as assigned.
Required Bachelor's degree in Computer Science, Mathematics, Physics, Biostatistics or related field and two years of relevant experience.
Advanced knowledge and experience in at least one of two fields - Computer Science or Biostatistics - is required.
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.
Desired
Master’s or PhD in Biostatistics, Computer Science, Mathematics, Physics or related field AND two years of work experience in a related field OR at least three 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!
Compensation, Benefits And Position Details
Pay Range Minimum:
$61,920.00 annual
Pay Range Maximum:
$75,000.00 annual
Benefits:
For information about benefits for this position, visit
Benefits page .
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.
#J-18808-Ljbffr