Biomedical Data Analyst

Biomedical Data Analyst
Location: United States (Remote)
Employment Type: Full time
The hiring organization is seeking a Biomedical Data Analyst to support the National Library of Medicine (NLM) at the National Institutes of Health in Bethesda, Maryland. In this role, the analyst provides data analysis and computational support for data-driven efforts to evaluate and improve the MEDLINE indexing product.
Working under the technical direction and oversight of the Senior Biomedical Data Analyst and within established analytical approaches, the role supports the processing, preparation, validation, and analysis of datasets—including PubMed web search and API user log data—used to evaluate Medical Subject Headings (MeSH) vocabulary and automated MeSH indexing algorithm performance. The position also contributes to the development of data products, reports, and analytical outputs used to inform indexing improvements, incorporating review feedback and maintaining code and documentation in accordance with established standards.
Key Responsibilities
Support quantitative analyses evaluating automatic MeSH indexing and its impact on MEDLINE and PubMed users.
Prepare, process, clean, transform, aggregate, and validate PubMed GUI, API, user search and click, bibliographic, indexing, and other relevant datasets for analysis.
Develop, test, execute, troubleshoot, and maintain scripts and reproducible workflows for data processing and analysis.
Perform exploratory data analysis and apply established statistical and quantitative methods to evaluate patterns, trends, relationships, and performance measures.
Conduct data quality checks and investigate missing, inconsistent, or anomalous data and analytical results.
Assist senior staff with analyses of PubMed user behavior and other data to identify potential opportunities for improvements to automated indexing algorithms, vocabulary, or related processes.
Develop tables, charts, summaries, and other analytical visualizations to communicate findings to technical and program stakeholders.
Document code, analytical procedures, data quality issues, and findings to ensure reproducibility, and address revisions identified during quality assurance reviews.
Required Skills/Experience
B.S.-level or higher education in data science, computer science, statistics, mathematics, bioinformatics, computational biology, information science, engineering, or a related quantitative or computational field.
Five (5) years of experience in data analysis, data science, computational analysis, statistics, or a related quantitative field.
Proficiency in at least one data analysis/programming language, preferably Python (pandas) or R (tidyverse/dplyr).
Experience preparing and analyzing structured datasets, including data cleaning, transformation, aggregation, validation, and exploratory analysis.
Knowledge of fundamental statistical and quantitative methods used to summarize data, evaluate patterns, and compare results.
Ability to develop, modify, execute, test, and troubleshoot scripts used for data processing and analysis.
Ability to follow established analytical methodologies, technical requirements, and quality control procedures and produce accurate, reproducible results.
Ability to identify and investigate data quality issues, unexpected results, and potential analytical errors.
Ability to document analytical procedures and findings clearly and prepare work products for technical review and quality assurance.
Ability to incorporate technical review comments and make appropriate corrections or revisions to analytical work products.
Ability to work collaboratively under the technical direction of senior analytical staff and communicate questions, issues, and findings effectively.
Proficiency in Microsoft Excel, SharePoint, Teams, and Jira.
Ability to obtain Public Trust clearance.
Desired Skills/Experience
Knowledge of or experience working with biomedical, scientific, bibliographic, web usage, application, API, or user log data.
Familiarity with biomedical databases, especially PubMed/MEDLINE.
Familiarity with MeSH, controlled vocabularies, MEDLINE indexing, automated indexing, or biomedical information retrieval.
Familiarity with typical practices in biomedical publishing, types of scientific publications, components of citations, and basic bibliographic data.
Experience constructing database queries, preferably in PubMed/MEDLINE, using Boolean operators, search fields, search filters, or other advanced search features.
Familiarity with data visualization techniques and tools for presenting quantitative results.
Familiarity with version control, reproducible analytical workflows, or collaborative software development and data analysis practices.
Compensation and Benefits
Anticipated annual salary range: $110,000–$135,000 (starting salary based on relevant experience, qualifications, and skills).
Health, dental, vision, disability, and life insurance.
401(k) plan with matching.
Paid leave and paid holidays.
Standard 40-hour work week.
Equal Opportunity Notice
The hiring organization is an EEO Employer – Disability/Veteran/Race/Color/Religion/Sex/National Origin/Genetic Information.