Role overview
The Department of Surgery, division of Acute Care Surgery is seeking qualified applicants for an open Data Scientist III position. This position will develop and implement machine and deep learning models as part of a multidisciplinary team performing research to augment patient centered decision making in surgery. Python and SQL experience is required.
What you'll work on
- Developing and validating supervised machine and deep learning models, including Transformers, for predicting patient outcomes from multimodal data inputs
- Implementing unsupervised machine and deep learning techniques for exploratory analysis, clustering, and phenotyping
- Developing self-supervised machine and deep learning techniques from patient data
- Developing and maintaining federated learning platforms
- Evaluating models and optimizing hyperparameters
- Integrating, filtering, and extracting multivariate and multimodal clinical datasets for patient cohorts of interest from local databases and data warehouses, in collaboration with a Data Management Analyst
- Ensuring quality, consistency, and validity of large multimodal datasets
- Summarizing and visualizing results for inclusion in scientific publications
- Communicating findings to project leaders and team
- Maintaining records of research methods and results and assisting in preparation of presentations and/or writing manuscripts
What we're looking for
- A degree in computer science, statistics, biomedical engineering, or related field and minimum years of relevant experience required to meet minimum qualifications
- Expertise in Python and SQL
- Willing and able to learn to develop Transformer models under the guidance of senior data scientists
- Scientific communication skills
- Ability to work both independently and in a team
- Desire to make meaningful contributions to academic and scientific communities
- Proficiency in PyTorch or TensorFlow
- Experience with electronic health record datasets and harmonizing multimodal data
- Experience with natural language processing
- Experience with computer vision
- Experience with federated learning
- Desire to improve surgical care by augmenting patient centered decision making
Tags & focus areas
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