Research Scientist/Engineer 3

University of Washington•Seattle, WA

4d•Onsite

About The Position

The Department of Bioengineering at the University of Washington has an outstanding opportunity for a Research Scientist/Engineer (RSE-3) to join the research laboratory of Professor Ricky Wang. This position serves as a critical bridge between advanced algorithm development and OCT imaging system implementation, enabling the integration, optimization, and translation of complex imaging technologies across multiple research projects. The lab is committed to advancing research in biomedical optics and imaging and clinical translations of lab-developed technologies, fostering an inclusive environment where collaboration, mentorship, and intellectual curiosity drive impactful research and professional growth. The lab is well supported by NIH, outside academic and government research institutions, external industrial users, and philanthropy.

Requirements

Bachelor’s Degree in Data Science or a related science or engineering discipline.
Minimum of four years of experience in optical coherence tomography and its associated algorithm developments with a strong understanding of clinical requirements of imaging devices.

Nice To Haves

Masters degree in Data Science
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, Labview, MATLAB).
Advanced expertise in AI-based optimization and machine learning applied to biological systems
Experience with existing computational methods of OCT image processing
Experience with blood flow velocity measurements

Responsibilities

Lead the refinement, validation, and deployment of optical imaging systems and their associated control interfaces for use by clinical and industrial collaborators, improving system performance, usability, and reliability across diverse application environments.
Apply machine learning and data-driven approaches for feature extraction, classification, and predictive modeling of ocular diseases using optical imaging datasets acquired from human study participants, developing and optimizing models to enhance diagnostic accuracy and generalizability.
Formulate research hypotheses and design rigorous experimental protocols, integrating multimodal imaging data into computational pipelines for model parameterization, quantitative analysis, and validation of scientific outcomes.
Prepare, author, and contribute to high-quality research manuscripts for submission to peer-reviewed journals, ensuring clarity, methodological rigor, and adherence to publication standards.
Utilize cloud computing platforms (e.g., AWS) for scalable data processing, storage, and batch analysis workflows, supporting large-scale imaging studies and machine learning experiments.
Collaborate closely with multidisciplinary imaging researchers to support a wide range of research initiatives, providing technical and analytical assistance as needed.
Offer computational expertise to internal and external collaborators, including the development of data acquisition, processing, and analysis tools using programming environments such as Python and MATLAB.
Contribute to the preparation and writing of grant applications and research proposals, ensuring clear articulation of research objectives, methods, and broader impacts.
Maintain organized, version-controlled codebases and ensure regular updates, documentation, and secure backups of all research-related software and analytical pipelines.
Provide training and mentorship to students, researchers, and collaborators through workshops, seminars, and one-on-one instruction on current biomedical imaging techniques, computational models, and analysis tools.
Maintain thorough and accurate records of research activities, including experimental procedures, data management practices, and analysis workflows, in compliance with institutional and funding requirements.
Maintain comprehensive and well-structured project documentation, primarily through GitHub repositories and Overleaf manuscripts, ensuring transparency, reproducibility, and efficient collaboration.
Support the end-to-end research publication process, including manuscript preparation, submission, revision, and correspondence with journals and reviewers.
Present research findings at scientific conferences, workshops, and seminars, effectively communicating complex technical results to both specialized and interdisciplinary audiences.
Assist in organizing and facilitating workshops and training sessions aimed at educating others on the use of current optical imaging systems and algorithmic models.
Actively participate in group meetings, contributing to project planning, progress updates, and collaborative problem-solving discussions.