Data Scientist in the HITI Lab (Radiology & Imaging Sciences) responsible for designing and implementing clinical imaging data pipelines, building multimodal AI systems for breast cancer detection and risk assessment, validating commercial clinical AI performance, and contributing to NIH-funded research publications. Position is externally funded through active research grants.
JOB 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.
- 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.
MINIMUM QUALIFICATIONS:
- Master's or PhD in Statistics, Mathematics, Computer Science or another quantitative field and 3 years of relevant experience.
PREFERRED QUALIFICATIONS:
- Master’s degree in Computer Science, Biomedical Informatics, Data Science, or related field; 2+ years of data science experience in a research or clinical setting; experience with medical imaging data (DICOM, PACS) and AI/ML model development preferred; proficiency in Python, SQL; strong publication or research record a plus