Research Scientist/Engineer 4 - Biostatistics Department (temporary)

Job Description

The Department of Biostatistics has an outstanding opportunity for a Research Scientist/Engineer 4 in Biostatistics and Biomedical Data Science to join their team.

About this Opportunity

Reporting to Dr. Ali Shojaie, Department of Biostatistics Interim Chair and PI, the Research Scientist/Engineer 4 will be responsible for developing new statistical machine learning and AI methods for analyzing diverse biomedical data, including omics, imaging, and EHR data, and will apply these methods to investigate mechanisms of complex disease, including Alzheimer's disease and related dementias (ADRD) and cardiovascular diseases (CVD). In addition to gaining experience in methodology development and applications in complex disease modeling, the Research Scientist will work with the members of Dr. Shojaie's team, including graduate students and postdoctoral fellows, as well as collaborators across UW and affiliate institutions.

This is a limited-term position initially planned for 12 months, but with the possibility that the position may be extended or made permanent after the initial appointment period.

This position can either be fully in-person or hybrid, with at least two days per week of in-person work in the new Hans Rosling Center for Population Health on the Seattle campus.

Key Responsibilities

Scientific leadership

• Develop and deploy statistical machine learning and AI methods and software tools for analysis of diverse biomedical data (40%)
• Lead and contribute to scientific investigations by biomedical scientists to analyze multi-modal biomedical data to discover new biomarkers and investigate mechanisms of complex diseases (25%)
• Disseminate study findings through reports and presentations for progress reports and peer-review publications (10%)

Project management and oversight

• Lead multidisciplinary projects by collaborating with team members, including other research scientists and graduate students, including participation in meetings and managing projects (10%)
• Provide technical guidance and project management expertise to junior team members and students (10%)
• Participate in team and collaborative meetings (5%)

Required Qualifications

To be considered for this opportunity, your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.

Minimum Qualifications

Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Department.

• Master’s degree in biostatistics, statistics, computer science, or a related field and four years of experience with machine learning/AI for biomedical data and health applications.

Additional Qualifications

• Demonstrated research independence through high-quality publications.

• Excellent oral and written communication skills for disseminating scientific findings.

• Strong programming skills in a statistical language (e.g. R, Python).

Preferred Qualifications

• Doctoral degree in biostatistics, statistics, computer science, or a related field.

• Experience working with diverse biomedical data.

Additional Application Requirement

This recruitment requires a cover letter. Applications that do not include a cover letter will not be forwarded to the hiring department. Please address the following in your cover letter:

• A statement of research interests and experiences (maximum two pages long).

About the Team

Dr. Ali Shojaie is Professor of Biostatistics and Professor of Statistics at the University of Washington (UW). He is Interim Chair of the Department of Biostatistics, founding director of the Summer Institute for Statistics in Big Data (SISBID) at the University of Washington, and Lead of the Data Management and Statistics (DMS) Core of the UW Alzheimer’s Disease Research Center (ADRC). Dr. Shojaie’s research lies in the intersection of statistical machine learning and artificial intelligence, statistical network analysis, and applications in biology and social sciences. The team collaborates extensively with biomedical and public health researchers at UW and affiliate institutions and develops novel methodology and software for analyzing diverse biomedical data.

Compensation, Benefits and Position Details

Pay Range Minimum:

$108,000.00 annual

Pay Range Maximum:

$156,000.00 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 UW Executive Order No. 81.

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.