Biomedical Data Analyst

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Provide support for quantitative analyses assessing the effects of automatic MeSH indexing on MEDLINE and PubMed users.

• Prepare and process relevant datasets, including PubMed GUI, API, user search and click data, bibliographic, and indexing information for analysis.

• Create and implement scripts for data extraction, cleaning, transformation, aggregation, validation, and analysis according to established analytical methods and requirements.

• Assist in the development, execution, testing, and maintenance of reproducible data processing and analytical workflows.

• Conduct exploratory data analysis and utilize standard statistical and quantitative methods to uncover patterns, trends, anomalies, and relationships in data.

• Calculate and report established performance metrics to assess automated MeSH indexing, vocabulary performance, and other MEDLINE processes.

• Carry out data quality assessments and investigate any missing, inconsistent, anomalous, or unexpected data and analytical outcomes.

• Collaborate with the Senior Biomedical Data Analyst on analyses of PubMed user behavior and other data to identify opportunities for enhancements to automated indexing algorithms, MeSH vocabulary, or related processes.

• Create tables, charts, summaries, and other analytical outputs to effectively communicate findings.

• Document code, data processing procedures, analytical methods, data quality issues, results, and other information essential for reproducibility and technical review.

• Submit analyses, code, calculations, documentation, visualizations, and other work products for evaluation and quality assurance by the Senior Biomedical Data Analyst.

• Address issues identified during technical review and quality assurance, including rectifying code, data processing procedures, calculations, documentation, or analytical outputs as needed.

• Adhere to established analytical methodologies, coding standards, documentation requirements, and quality control procedures.

• Engage in the review and interpretation of analytical findings and aid in preparing results for technical and program stakeholders.

• Support the National Library of Medicine at the National Institutes of Health in improving and evaluating MEDLINE indexing.

⛳️ Requirements

• A Bachelor’s degree or higher in data science, computer science, statistics, mathematics, bioinformatics, computational biology, information science, engineering, or a related quantitative or computational discipline.

• A minimum of 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, ideally Python (pandas) or R (tidyverse/dplyr).

• Experience in preparing and analyzing structured datasets, encompassing data cleaning, transformation, aggregation, validation, and exploratory analysis.

• Understanding of fundamental statistical and quantitative methods for summarizing data, evaluating patterns, and comparing results.

• Capability to develop, modify, execute, test, and troubleshoot scripts for data processing and analysis.

• Ability to follow established analytical methodologies, technical requirements, and quality control procedures, producing accurate and reproducible results.

• Skill in identifying and investigating data quality issues, unexpected outcomes, and potential analytical errors.

• Proficiency in documenting analytical procedures and findings clearly, and preparing work products for technical review and quality assurance.

• Capacity to incorporate feedback from technical reviews and make necessary corrections or revisions to analytical work products.

• Ability to collaborate effectively under the technical guidance of senior analytical staff and communicate questions, issues, and findings efficiently.

• Proficiency in Microsoft Excel, SharePoint, Teams, and Jira.

• Capability to obtain Public Trust clearance.

• Familiarity with or experience working with biomedical, scientific, bibliographic, web usage, application, API, or user log data.

• Understanding of biomedical databases, particularly PubMed/MEDLINE.

• Familiarity with MeSH, controlled vocabularies, MEDLINE indexing, automated indexing, or biomedical information retrieval.

• Knowledge of common practices in biomedical publishing, types of scientific publications, citation components, and basic bibliographic data.

• Experience in constructing database queries, preferably in PubMed/MEDLINE, using Boolean operators, search fields, search filters, or other advanced search functionalities.

• Familiarity with data visualization techniques and tools for displaying quantitative results.

• Understanding of version control, reproducible analytical workflows, or collaborative software development and data analysis practices.

🏝️ Benefits

• Medical insurance with employer-paid deductibles.

• Dental and vision insurance.

• Federal holidays and paid time off.

• 401(k) with a 3% company match.

• Life and disability insurance.

• Flexible spending accounts.

• Opportunities for professional development.

• Employee referral bonuses.

• 40-hour work week.

• Flexible work schedules and telework options.

• Paid leave starting at 128 hours/year for the first three years of employment.

• 11 paid holidays.

• Positive work–life balance.