Data Scientist in the HITI Lab (Radiology & Imaging Sciences) 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 LLMs, and conducting clinical analytics research for internal and external stakeholders. Position is externally funded through active NIH 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 Data Science, Applied Statistics, Biomedical Informatics, or related field; 2+ years of data science experience; experience with clinical and medical imaging data (DICOM, EHR, HL7/FHIR); proficiency in Python, R, SQL; experience with cloud platforms (GCP, Azure) and ML pipelines.