Data Scientist- School of Medicine, Radiology and Imaging Sciences
About The Position
The Data Scientist in the HITI Lab within Radiology and Imaging Sciences is responsible for building and maintaining large-scale multimodal breast imaging data pipelines, evaluating and validating clinical AI screening models, developing structured data extraction systems using large language models, and conducting clinical analytics research for internal and external stakeholders. The position is externally funded through active NIH research grants. The Data Scientist mines and analyzes data from internal and external sources to support the optimization and improvement of operations, clinical outcomes, and business strategies. The role partners with organizational stakeholders to develop business solutions and uses large datasets and models to assess potential actions with predictive algorithms. It also evaluates the effectiveness and accuracy of new data sources and data-gathering techniques.
Requirements
- A master's or PhD in Statistics, Mathematics, Computer Science, or another quantitative field.
- At least 3 years of relevant experience.
- Expertise in at least one programming language, such as R, SAS, or Python.
- Proficiency in statistical theory and underlying mathematical distributions.
- Expertise in querying relational databases with SQL.
- Experience with machine learning techniques such as clustering, decision tree learning, and artificial neural networks, with demonstrated real-world application.
Nice To Haves
- A master's degree in Data Science, Applied Statistics, Biomedical Informatics, or a related field.
- Two or more years of data science experience.
- Experience with clinical and medical imaging data, including DICOM, EHR, and HL7/FHIR.
- Proficiency in Python, R, and SQL.
- Experience with cloud platforms such as GCP or Azure and with machine learning pipelines.
Responsibilities
- Build and maintain large-scale multimodal breast imaging data pipelines.
- Evaluate and validate clinical AI screening models.
- Develop structured data extraction systems using large language models.
- Conduct clinical analytics research for internal and external stakeholders.
- Mine and analyze data from internal and external sources to improve operations, clinical outcomes, and business strategies.
- Work with stakeholders to develop business solutions using large datasets, models, and predictive algorithms.
- Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
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What This Job Offers
Job Type
Full-time
