NLM Data Scientist

About the role

Lexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our Natural Language Processing (NLP) and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research. We are looking for a Data Scientist to work within the National Library of Medicine (NLM).

Responsibilities

• Experience in medical informatics, knowledge processing, information systems, image processing, high-performance computing, and information visualization.
• Specific areas of expertise include natural language processing, linguistics, consumer health informatics, cross-language translation and retrieval, data mining, human-computer interaction, telemedicine, and evaluation analysis.
• Ability to work well within a team of researchers, developers, and healthcare professionals.

Requirements

• Master's degree in data science, statistics, computer science, or related fields
• Experience processing, cleaning, and validating data integrity
• Strong understanding of statistical analysis methods including regression analysis and predictive modeling
• Proficiency with data visualization tools such as Tableau, Splunk, Google Analytics
• Experience with programming languages such as Python, R, or SAS
• Knowledge of machine learning and deep learning algorithms
• Subject to pre-employment background and reference check; must be authorized to work in the United States

Qualifications

• Ph.D. in data science, statistics, computer science, biomedical informatics, or related field
• 5+ years of experience in biomedical informatics, medical data science, or related field
• Experience with data linkages and conducting longitudinal studies using clinical data
• Knowledge of NLP techniques to extract information from unstructured text
• Experience with large language models (LLMs) and AI tools for synthesizing research findings
• Familiarity with FISMA requirements and secure handling of PHI/PII
• Experience with cloud computing environments (AWS, Azure, Google Cloud)
• Background in clinical data analytics and healthcare informatics
• Experience with data harmonization and data integration across multiple sources
• Knowledge of database systems including SQL, MongoDB, and ElasticSearch

Benefits

• Full health and dental for you and your dependents (at no cost)
• Retirement and HSA accounts
• Short- and long-term disability insurance
• Life and accident insurance
• Paid time off