À propos
Lead the discovery and requirements gathering process with key clinical and business stakeholders to inform analytic plans. Build scalable pipelines for feature extraction, quantification, and visualization from various ophthalmic images and other biomedical data types. Research, design, develop and implement statistical and deep learning models, and advanced analytics to extract biologically and clinically relevant features from ophthalmic images and data and support key strategic initiatives. Work with foundation model embeddings to power discovery, classification, and search across large-scale datasets. Visualize data in creative ways that brings data and insights to life and is consumable in the business and operational workflow of end-users Develop documentation, software, support tools, and technology infrastructure to enhance the ability of analysts and operational leaders across the clinical enterprise to effectively and rapidly extract meaning from health care data. Collaborate with ophthalmic industry and academic stakeholders to understand real-world challenges and co-create translational solutions. Support the EIARC leadership team in customer discussions, shaping AI strategy and solutions that meet data needs across discovery, translational, and clinical programs. Mentor junior researchers through research projects fostering CWRU biomedical engineering students' interest in research, AI, and image analysis. Collaborate with University Hospitals (UH) and CWRU IT to support data architecture of diverse datasets that support clinical integration by converging these disparate data systems into repositories fit for algorithmic development and model training. Stay current on the latest developments in AI, digital imaging, and pharmaceutical applications. Additional Responsibilities
Performs other duties as assigned. Complies with all policies and standards. For specific duties and responsibilities, refer to documentation provided by the department during orientation. Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients. Annual training, the UH Code of Conduct and UH policies and procedures are in place to address appropriate use of PHI in the workplace.
Qualifications: Education
Master's Degree MS or PhD in Computer Science, Engineering or other related fields. (Required) Work Experience
less than 1 year Experience working with complex analytic situations or big data environments. (Required) Knowledge, Skills, & Abilities
Experience working with complex analytic situations or big data environments. (Required proficiency) Healthcare (Hospital/Health System, Payor, or Life Sciences) experience. (Preferred proficiency) At least one scientific computing language such as Python (e.g. pytorch, scikit-learn, pandas, scikit-image, keras, tensorflow) or R (e.g. caret, dplyr, ggplot2). (Required proficiency) Experience with relational databases and SQL queries. (Required proficiency) Knowledge of or experience working with image processing. (Required proficiency) Experience collaborating with both junior and senior team members. (Required proficiency) Capable of gathering and validating requirements, articulating the pros and cons of different analytic approaches, estimating timelines for completion of work, and predicting potential challenges to producing accurate time estimates and analytic plans. (Required proficiency) Physical Demands
Standing Occasionally Walking Occasionally Sitting Constantly Lifting Rarely up to 20 lbs Carrying Rarely up to 20 lbs Pushing Rarely up to 20 lbs Pulling Rarely up to 20 lbs Climbing Rarely up to 20 lbs Balancing Rarely Stooping Rarely Kneeling Rarely Crouching Rarely Crawling Rarely Reaching Rarely Handling Occasionally Grasping Occasionally Feeling Rarely Talking Constantly Hearing Constantly Repetitive Motions Frequently Eye/Hand/Foot Coordination Frequently Travel Requirements
10% Conference & Outreach Activities
Compétences linguistiques
- English
Avis aux utilisateurs
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