Data Scientist - School of Medicine, Radiology

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Description

Data Scientist is responsible for mining and analyzing data from various internal and external data sources to drive optimization and improvement of operations, clinical outcomes, and business strategies. This position will be responsible for building advanced, multi-modal deep learning and foundation models in medical imaging.

JOB DESCRIPTION

• Works with stakeholders throughout the organization to drive business solutions and are adept at using large data sets and models to test the effectiveness of different courses of action using predictive algorithms.

• They assess the effectiveness and accuracy of new data sources and data gathering techniques.

• Data Scientist is an expert in at least 1 programming language (e.g. R, SAS, Python), has proficiency in statistical theory and underlying mathematical distributions, and expertise in querying relational databases with SQL.

• They have experience with of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and can demonstrate real-world application of these techniques.

Additional Job Description

• Design and implement generalist pre-trained models for medical imaging using strategies like transfer learning and self-supervised modeling, with architectures such as CNNs and Transformers.

• Develop large language and vision models to explore representation learning and multimodal understanding, focusing on joint representations from imaging data and clinical reports.

• Prepare and preprocess medical images using Python libraries, handling data augmentation and normalization to enhance model performance, and maintain clear documentation.

• Collaborate with domain experts to ensure accurate labeled datasets, participate in discussions to understand clinical requirements, and adapt models accordingly.

• Work closely with radiologists, data scientists, and software engineers to align research objectives with real-world medical imaging needs.

MINIMUM QUALIFICATIONS

• Master's or PhD in Statistics, Mathematics, Computer Science or another quantitative field and 3 years of relevant experience.

Desired Qualifications

• PhD in Machine Learning, Computer Science, or a related field with a focus on Health.

• Experience in applying deep learning techniques to medical imaging modalities (Chest X-rays, CT, MRI).

• Proficiency in Python and relevant libraries (TensorFlow, PyTorch, scikit-learn, pandas).

• Strong understanding of image preprocessing techniques and data augmentation.

• Experience with pre-training techniques (contrastive models, CNNs, and transformer architectures).

• Experience working on collaborative projects with industry partners and healthcare institutions.

• Published research or contributions to the field of medical image analysis.

NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.

Emory Supports a Diverse and Inclusive Culture

Emory University is dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination. Emory University complies with Executive Order 11246, as amended, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity and affirmative action. Emory University is committed to achieving a diverse workforce through application of its affirmative action, equal opportunity and nondiscrimination policy in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Inquiries regarding this policy should be directed to the Emory University Department of Equity and Inclusion, 201 Dowman Drive, Administration Building, Atlanta, GA 30322.

Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at ~~~ (V) | ~~~ (TDD). Please note that one week advance notice is preferred.

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Job Number 123506

Job Type Regular Full-Time

Division School Of Medicine

Department SOM: Rad: Interventional

This position may involve the following Health and Safety issues: Not Applicable

Job Category Business Operations

Campus Location (For Posting) : City Atlanta

Location : Name Emory Campus-Clifton Corridor