Research Scientist/Engineer 4 - Biostatistics Department (temporary)

University of Washington•Seattle, WA
•$108,000 - $156,000•Hybrid

About The Position

The Department of Biostatistics is hiring a Research Scientist/Engineer 4 in Biostatistics and Biomedical Data Science. Reporting to Dr. Ali Shojaie, Department of Biostatistics Interim Chair and PI, the position develops statistical machine learning and artificial intelligence methods for diverse biomedical data, including omics, imaging, and electronic health record data. The methods will be applied to study mechanisms of complex disease, including Alzheimer’s disease and related dementias and cardiovascular diseases. The scientist will work with Dr. Shojaie’s team, including graduate students and postdoctoral fellows, and with collaborators across the University of Washington and affiliate institutions. The role combines methodology development, complex disease modeling, scientific collaboration, project leadership, and guidance for junior team members. The appointment is initially planned for 12 months, with the possibility of extension or becoming permanent. The position may be fully in person or hybrid, with at least two days per week of in-person work at the Hans Rosling Center for Population Health on the Seattle campus. It is a temporary, 100% FTE, first-shift position. The annual pay range is $108,000 to $156,000.

Requirements

  • Master’s degree in biostatistics, statistics, computer science, or a related field.
  • Four years of experience with machine learning or AI for biomedical data and health applications.
  • 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.
  • Submit a cover letter containing 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 scientific investigations with biomedical scientists, analyzing multimodal biomedical 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 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%).

Benefits

  • Benefits are referenced through the University of Washington benefits information for temporary, per-diem, and less-than-half-time positions; specific benefits are not listed in the posting.
  • Opportunities for professional growth.
  • Work in an environment described as diverse and intellectually exciting.
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