Research Data Scientist

enhance and improve clinical data science, and (3) create curricula and training resources for a clinical data science education program at UNC . Depending on Program priorities and personal interests, there is flexibility in the research data scientist role to develop their own extramural funding for research priorities in-line with the overarching mission of the TDSL Program at UNC . Education and Experience: Professional and/or formal educational experience utilizing large language models for research, including deploying, tuning, and optimizing open- and closed-source models in local and cloud environments, including high-security or air-gapped environments for sensitive data Experience applying LLMs to structured information extraction from unstructured text (e.g., named entity recognition, relation extraction, schema-constrained or function-calling-based structured output generation) Experience with natural language processing utilizing traditional data science approaches (word2Vec, NLTK , Spark NLP , etc.) and/or NLP utilizing large language models High level of proficiency in either R or Python in the areas of machine learning, deep learning, statistical analysis, computer vision, and/or graph analysis Experience with data engineering to create data science pipelines, deploy and scale models, and maintain and thoroughly document code and models, including designing evaluation frameworks for model/pipeline accuracy (e.g., precision/recall/F1 against gold-standard human annotation Knowledge of SQL programming, data modeling, and relational database systems such as Oracle, MS- SQL , MySQL, etc. Highly capable of working in a cross-functional team and functioning as lead scientist on research and development efforts – ability to manage multiple projects at once while delivering high-quality work on time Strong interest in clinical data and desire to develop deep expertise in EHR and claims data; interest in developing deep expertise in cancer registry data standards and abstraction workflows (e.g., NAACCR data items, ICD -O-3 histology/topography coding, AJCC staging) is a plus; prior registry experience is not required Strong commitment to teaching and disseminating work through writing and speaking engagements, as creating and giving seminars & presentations and authoring manuscripts is an expectation for this position. Fluency visualizing data for scientific purposes (e.g., creating figures for manuscripts and presentations) Experience and interest in academic research (working with faculty, disseminating work through manuscripts & open-source software, and grant writing) Essential Skills: This position requires a Masters or PhD in applicable field and at least 2 years of relevant work experience. Excellent written and oral scientific communication skills as well as the ability to independently manage multiple projects also required. AA/EEO Statement: The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.