Research Data Scientist

Research Data Scientist

The Research Data Scientist will assist faculty with the use of technology and cutting-edge data science in research. As an integral member of the CLARITY team (Clinician-Led AI Resources Individualized To You), the Research Data Scientist will build and optimize the LLM-based text processing and multimodal video generation pipeline, conducting model evaluation and testing, and supporting deployment of a secure patient-facing interface. The Research Data Scientist will collaborate closely with behavioral scientists, clinicians, and computer science faculty to translate research objectives into reliable scalable technical solutions. This position is expected to last one year with the possibility of a second.

Responsibilities include:

• Implements and maintains components of the LLM-based text-to-video pipeline.
• Develops and tests prompting, fine-tuning, and structured extraction workflows.
• Supports integration of text processing systems with video generation tools.
• Develops guardrails and evaluation metrics for factual consistency, uncertainty communication, and clinical reliability.
• Contributes to development of the secure, patient-facing interface.
• Conducts data analysis for experimental studies and clinical trial evaluation.
• Interfaces directly with collaborators.
• Applies research principles and relevant subject matter knowledge relevant to administer a research project. With a moderate level of direction, manages lab and/or research-related duties and tasks. Helps develop, design and conduct research projects according to plan.
• Supports data collection and analytical needs of research projects. Conducts literature reviews and helps write reports and manuscripts. Ensures project compliance with different policies, procedures, directives, and mandates.
• Performs other related work as needed.

Minimum qualifications include a college or university degree in a related field and 2-5 years of work experience in a related job discipline.

Preferred qualifications include a bachelor's or master's degree in computer science, data science, artificial intelligence, machine learning, or a closely related field, and experience in healthcare, biomedical or other high-stakes deployment environments.