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Lexical Intelligence

AI solutions for government and industry

Health Scientist

Data ManagementConfirmed live in the last 24 hours
Full-timeBethesda, MD, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's or advanced degree in Health Informatics, Biostatistics, Epidemiology, Public Health, Data Science, or a related field is required.
  • Proficiency in one or more statistical programming languages such as Python, R, or SAS, and database programming languages such as SQL is required.
  • Experience transforming complex raw data into analysis-ready datasets tailored to specific research questions or researcher needs is required.
  • A strong foundation in statistics or biostatistics, including study design, exploratory analyses, statistical modeling, and interpretation of results is required.
  • Experience preparing user documentation and educational materials that enable researchers to use complex datasets appropriately is required.
  • Experience developing and preparing results for reports, presentations, publications, or other products for technical and non-technical audiences is required.
  • Strong written and verbal communication skills, including the ability to explain complex clinical, statistical, and data management concepts clearly to diverse audiences, are required.
  • Strong interpersonal and project management skills, including the ability to prioritize and manage multiple work streams with competing deadlines, are required.
  • All candidates must be authorized to work in the United States.
  • Candidates must undergo a background check.

Responsibilities

  • Curate datasets from complex clinical data sources, including electronic health records, health information systems, administrative claims data, population health surveys, public health data, and laboratory information systems.
  • Develop custom analytic datasets by cleaning, transforming, harmonizing, and validating data.
  • Evaluate data for completeness, accuracy, consistency, representativeness, and suitability for specific research use cases by assessing dataset structures, variables, coding conventions, file types, and technical documentation.
  • Develop reproducible data processing and quality control processes, including procedures for identifying missing values, duplicate records, outliers, coding discrepancies, and inconsistencies.
  • Describe clinical datasets for secondary use, including their provenance, represented populations, collection methods, variable definitions, limitations, linkage considerations, and appropriate analytic applications.
  • Develop public-facing resources, including user guides, data dictionaries, technical documentation, presentations, and training materials, to help researchers understand and appropriately analyze clinical datasets.
  • Identify opportunities to improve dataset utility, documentation, and the research value of curated data assets.
  • Protect sensitive health information and adhere to applicable privacy and security requirements.
  • Ensure compliance with organizational security and privacy policies, protect sensitive data and systems, report security incidents, and participate in required cybersecurity training.
  • Implement best practices related to access control, data handling, and risk mitigation within the scope of assigned duties.

Desired Qualifications

  • Demonstrated experience working independently with clinical data, including electronic health record data, claims data (preferably CMS Medicare or Medicaid), registry data, or public health data sources.
  • Prior experience and demonstrated ability to understand healthcare coding systems, data standards, and controlled clinical terminologies, including ICD-10-CM, SNOMED CT, CPT/HCPCS, LOINC, and RxNorm.
  • Experience performing statistical analyses using clinical, biomedical, claims, survey, and laboratory datasets, including complex survey data.
  • Ability to apply appropriate methods for cohort definition, patient identification, variable derivation, outcome construction, and analysis of healthcare utilization and clinical outcomes.
  • Experience providing methodological and analytic consultations to researchers regarding dataset selection, research feasibility, analytic methods, and interpretation of findings.
  • Ability to conceptualize and support research studies from initial question development through study design, analytic-plan development, data analysis, interpretation, and dissemination of findings.
  • Experience collaborating with multidisciplinary teams, including clinicians, epidemiologists, biostatisticians, and data engineers, while maintaining clear ownership of assigned deliverables.

About the Company

Lexical Intelligence

AI solutions for government and industry

Lexical Intelligence provides AI solutions to policy and decision makers in the U.S. Federal Government and private sector. It combines technical capability, analytics, and subject-matter expertise to deliver services in IT, health IT, management and financial consulting, acquisition and grants management support, and program/project management. Their work is positioned for government and enterprise clients through GSA MAS large IT and professional services categories, including IT services, health IT, and management/financial consulting. The goal is to help government and private sector customers use AI and data analytics to inform policy, decision making, and program management.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Rockville, MD
Founded
2013

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