NLM Data Scientist

Posted Yesterday
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Bethesda, MD, USA
In-Office
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Develops biomedical data science solutions for the National Library of Medicine, processing and analyzing large-scale clinical and biomedical information. Responsibilities include data cleaning and validation, statistical modeling, predictive analytics, visualization, machine learning, NLP, data integration, and information retrieval. The role collaborates with researchers, developers, and healthcare professionals and may support clinical data studies, research synthesis, and secure handling of healthcare information.
Summary Generated by Built In

Data Scientist

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). The Data Scientist will have experience in medical informatics, knowledge processing, information systems, image processing, high-performance computing, and information visualization. Specific areas of expertise shall include but not limited to natural language processing, linguistics, consumer health informatics, cross-language translation and retrieval, data mining, human-computer interaction, telemedicine, and evaluation analysis. The Data Scientist shall be able to work well within a team of researchers, developers, and healthcare professionals. The selected applicant will be subject to a pre-employment background and reference check.

Required Qualifications

  • 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

Preferred 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

All candidates will be required to undergo a background check and must be authorized to work in the United States.

Salary and benefits We offer a competitive salary and a generous benefits package, including at no cost: full health and dental for you and your dependents, retirement and HSA accounts, short- and long-term disability insurance, life and accident insurance, paid time off, and 11 federal holidays.

Location: Bethesda, Maryland - Hybrid work environment with some on-site work required at NIH Campus in Building 38A.

Equal Employment Opportunity Policy Lexical Intelligence, LLC, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Lexical Intelligence, LLC | 2001 Veirs Mill Rd #546 | Rockville, MD 20851

Skills Required

  • Master's degree in data science, statistics, computer science, or a related field
  • 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, or Google Analytics
  • Experience with Python, R, or SAS
  • Knowledge of machine learning and deep learning algorithms
  • Ph.D. in data science, statistics, computer science, biomedical informatics, or a related field
  • 5+ years of experience in biomedical informatics, medical data science, or a related field
  • Experience with data linkages and longitudinal studies using clinical data
  • Knowledge of NLP techniques for extracting information from unstructured text
  • Experience with large language models and AI tools for synthesizing research findings
  • Familiarity with FISMA requirements and secure handling of PHI and PII
  • Experience with cloud computing environments such as AWS, Azure, or Google Cloud
  • Background in clinical data analytics and healthcare informatics
  • Experience with data harmonization and data integration across multiple sources
  • Knowledge of SQL, MongoDB, and Elasticsearch
  • Authorization to work in the United States
  • Successful pre-employment background and reference check
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The Company
25 Employees
Year Founded: 2013

What We Do

Lexical Intelligence, LLC is a Rockville, Maryland-based provider of AI, machine learning, and natural language processing software and services. It builds its proprietary Lexical AI platform for document classification, entity extraction, and name disambiguation, and delivers AI-driven analytics, research intelligence, and strategic consulting to help policy and decision makers in the Federal Government, nonprofits, and the private sector evaluate research, optimize funding strategies, and make better decisions.

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