**Job Description** UW Bioengineering is a vibrant community driving advances in health care. As a joint department in the College of Engineering and School of Medicine, we bring together students, scientists, engineers, and clinicians to develop innovative and cost-effective health care solutions that improve lives. Our inclusive and collaborative culture empowers our students, faculty, and staff to make an impact through new fields of research and clinical products. Our award-winning faculty are national leaders in biomedical education, research, and technology transfer. In UW Bioengineering, we are bound by a belief that public health and human dignity are inseparable. One is impossible without the other. Equity and inclusivity are fundamental to our mission of inventing the future of medicine. The Bioengineering Department at the University of Washington is looking to fill a position at the RSE-3 level in the research laboratory of Professor Princess Imoukhuede. The Bioengineering Department at the University of Washington seeks to hire a Research Scientist Engineer (RSE-3) for a computational researcher position in the laboratory of Professor Princess Imoukhuede. The lab is committed to advancing research in women's health, cell signaling, computational modeling, and data-driven innovation. We foster an inclusive environment where collaboration, mentorship, and intellectual curiosity drive impactful research and professional growth. **DUTIES AND RESPONSIBILITIES** Project Contribution (40%) • Lead development and execution of computational models for cell surface receptor signaling and trafficking, focusing on systems relevant to uterine contraction. • Design research hypotheses and implement experimental protocols, incorporating imaging data for model parameterization and analysis. • Conduct regular literature reviews and participate in research seminars, workshops, and conferences to remain current in the field. • Publish research findings as first author in peer-reviewed journals. Grant Preparation and Management (40%) • Identify relevant funding sources and opportunities, and contribute to proposal preparation (PI, co-PI, co-I roles). • Collect and organize preliminary data on short timelines to support competitive grant submission. • Support the management of grants and proposals, with a clear expectation to establish research aims and actively build a long-term career trajectory toward securing independent research funding. Research Mentoring (20%) • Mentor and guide students and junior researchers in the development of technical and professional skills, helping to shape research goals and project plans. • Review manuscripts and scientific literature as part of collaborative research activities. • Develop and publish figures, tables, presentations, and manuscripts, with a strong independent record of first-author publication. **Minimum Requirements:** Bachelors degree in Computational Systems Biology, Bioengineering/Biomedical Engineering, Biophysics, Chemical Engineering, Applied Mathematics, or a related field AND four years of relevant experience with computational modeling, particularly differential equations modeling, and parameterization from experimental data. OR Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration. **ADDITIONAL REQUIREMENTS** - Demonstrated experience contributing as key personnel in successful research grant applications (PI, co-PI, co-I). - Proven record of scientific writing and publication as first author in high-impact peer-reviewed journals. - Proficiency in programming languages and scientific computing (e.g., Python, R, MATLAB/SimBiology). - Experience mentoring/training PhD students or postdoctoral researchers. **Desired Qualifications:** - Advanced degree in a quantitative field such as Computational Systems Biology, Bioengineering/Biomedical Engineering, Biophysics, Chemical Engineering, Applied Mathematics, or related discipline. - Advanced expertise in AI-based optimization and machine learning applied to biological systems. - Experience with Agent-based modeling, and PK/PD modeling - Experience working with diverse, multidisciplinary research teams across institutions or organizations. - Prior collaboration with industrial partners or external clinical collaborators. **Compensation, Benefits and Position Details** **Pay Range Minimum:** $85,992.00 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-uw-staff/ **Shift:** First Shift (United States of America) **Temporary or Regular?** This is a regular position **FTE (Full-Time Equivalent):** 100.00% **Union/Bargaining Unit:** UAW Research **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 (https://hr.uw.edu/eoaa/) . 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 (https://app.leg.wa.gov/RCW/default.aspx?cite=28B.112.080) . University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.