Research Scientist/Engineer 4 - Biostatistics Department (temporary)

University of Washington•Seattle, WA

16h•$108,000 - $156,000•Hybrid

About The Position

The Department of Biostatistics seeks a Research Scientist/Engineer 4 in Biostatistics and Biomedical Data Science to develop statistical machine learning and AI methods for diverse biomedical data, including omics, imaging, and electronic health record (EHR) data. The researcher will apply these methods to investigate mechanisms of complex diseases, including Alzheimer’s disease and related dementias (ADRD) and cardiovascular diseases (CVD). The position works with Dr. Ali Shojaie’s team, including graduate students and postdoctoral fellows, and with collaborators across the University of Washington and affiliate institutions. The appointment is limited-term, initially planned for 12 months, with the possibility of extension or conversion to a permanent position. Work may be fully in person or hybrid, with at least two in-person days per week at the Hans Rosling Center for Population Health on the Seattle campus.

Requirements

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; equivalent education and/or experience may substitute where permitted.
Demonstrated research independence through high-quality publications.
Excellent oral and written communication skills for disseminating scientific findings.
Strong programming skills in a statistical language such as R or Python.
A cover letter is required and must include a statement of research interests and experiences, no longer than two pages.

Nice To Haves

Doctoral degree in biostatistics, statistics, computer science, or a related field.
Experience working with diverse biomedical data.

Responsibilities

Develop and deploy statistical machine learning and AI methods and software tools for analyzing diverse biomedical data (40%).
Lead and contribute to biomedical scientific investigations that analyze multimodal data to discover biomarkers and investigate mechanisms of complex diseases (25%).
Disseminate study findings through reports and presentations for progress reports and peer-reviewed publications (10%).
Lead multidisciplinary projects in collaboration with team members, including research scientists and graduate students; participate in meetings and manage projects (10%).
Provide technical guidance and project management expertise to junior team members and students (10%).
Participate in team and collaborative meetings (5%).