Senior AI Curation Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Designing and evaluating data extraction and integration software for structured EHR content (XML, FHIR) as well as unstructured text content (attached documents)

• Strategizing, articulating, and executing projects to curate data sets utilized in model training

• Keeping abreast of current and emerging generative AI and transformer technologies

• Fine-tuning and training large language models (LLMs)

• Possessing a solid understanding of PHI/PII and de-identification policies and strategies at xCures, and implementing software solutions that adhere to these regulations

• Creating and executing tests for data extraction and aggregation performance to enhance efficiency, timeliness, and cost-effectiveness

• Adapting to take on technical leadership or collaborative roles as needed throughout projects

• Establishing and maintaining code repositories

• Collaborating closely with management to explore methodologies, test hypotheses, and collectively develop innovative solutions for data science

• Coordinating as necessary in a fully remote work environment

• Partnering with Engineering and other departments to enhance overall company efficiency and effectiveness

⛳️ Requirements

• Ph.D. or equivalent experience in Computer Science, Software Engineering, Statistics, Biology, or a related discipline

• At least 10 years of practical experience in data science, machine learning, AI, data analysis, software development, and/or predictive analytics

• Proficiency in generative AI and transformer models, particularly in LLM training

• Extensive prior experience in curating data sets for LLM training

• Significant hands-on coding expertise with LLMs, embedding models, sentence transformers, and authoring Python code for data extraction and/or classification tools

• Considerable previous work with parsing XML, JSON, and/or other intricate data formats, ideally C-CDA health data

• Familiarity with TensorFlow, PyTorch, and/or scikit-learn

• Software development proficiency, including experience with Git

• Demonstrated efficiency and a cautious approach to utilizing LLM-assisted coding

• Background in writing unit and integration tests for scientific/clinical data software, along with developing scientifically driven data quality assessments

• Experience as a senior technology development leader, contributing while overseeing colleagues’ work

• A flexible, innovative, and proactive approach to delivering software and data products, balanced with team collaboration

• A strong passion for the successful delivery of team-produced work

🏝️ Benefits

• Medical, Dental, Vision insurance

• 401k

• Equity options