Biomedical Data Analyst

Role Overview

Support the National Library of Medicine (NLM) at the National Institutes of Health in Bethesda, Maryland, providing data analysis and computational support for data-driven efforts to evaluate and improve the MEDLINE indexing product.

What You Will Do

Perform exploratory data analysis, apply established statistical and quantitative methods to identify patterns, trends, anomalies, and relationships in data, and develop tables, charts, summaries, and other analytical outputs to communicate findings.

Why It Might Be a Fit

The ideal candidate will have a 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, and 5 years of experience in data analysis, data science, computational analysis, statistics, or a related quantitative field.

Requirements

• 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
• 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

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Disability insurance
• Life insurance
• 401(k) plan with matching
• Paid leave starting at 128 hours/year for the first 3 years of employment
• 11 paid holidays

Tagged as: Data Analysis