Biomedical Data Analyst

Computercraft Corporation

. Support quantitative analyses evaluating automatic MeSH indexing and its impact on MEDLINE and PubMed users .

Posted 11/7/2026full-timeRemote • Maryland • United StatesMid-LevelSenior💰 $110,000 - $135,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis and quantitative methods, with proficiency in Python or R for data processing and analysis. Capable of developing reproducible workflows and effectively communicating analytical findings to stakeholders.

Highest-signal resume keywords

Data AnalysisPython ProgrammingStatistical MethodsData CleaningBiomedical Data Familiarity

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ExtractionData TransformationExploratory Data AnalysisStatistical AnalysisScript DevelopmentData ValidationPerformance MeasurementDatabase Query ConstructionData VisualizationAnalytical Methodologies

Soft Skills

Collaborative CommunicationAttention to DetailProblem-SolvingTechnical Documentation

Tools & Technologies

Microsoft ExcelSharePointTeamsJiraPubMed API

Certifications & Qualifications

Public Trust Clearance

Industry Keywords

MeSH IndexingMEDLINEBiomedical PublishingControlled VocabulariesScientific Publications

Tech Stack

Tools & technologies

PandasPython

About the role

Key responsibilities & impact

Support quantitative analyses evaluating automatic MeSH indexing and its impact on MEDLINE and PubMed users
Prepare and process PubMed GUI, API, user search and click, bibliographic, indexing, and other relevant datasets for analysis
Develop and execute scripts for data extraction, cleaning, transformation, aggregation, validation, and analysis using established analytical methods and requirements
Assist with the development, execution, testing, and maintenance of reproducible data processing and analytical workflows
Perform exploratory data analysis and apply established statistical and quantitative methods to identify patterns, trends, anomalies, and relationships in data
Calculate and report established performance measures used to evaluate automated MeSH indexing, vocabulary performance, and related MEDLINE processes
Conduct data quality checks and investigate missing, inconsistent, anomalous, or unexpected data and analytical results
Assist the Senior Biomedical Data Analyst with analyses of PubMed user behavior and other data used to identify potential opportunities for improvements to automated indexing algorithms, MeSH vocabulary, or related processes
Develop tables, charts, summaries, and other analytical outputs to communicate findings
Document code, data processing steps, analytical procedures, data quality issues, results, and other information necessary to support reproducibility and technical review
Submit analyses, code, calculations, documentation, visualizations, and other work products for review and quality assurance by the Senior Biomedical Data Analyst
Address findings identified during technical review and quality assurance, including correcting code, data processing procedures, calculations, documentation, or analytical outputs as necessary
Follow established analytical methodologies, coding practices, documentation requirements, and quality control procedures
Participate in the review and interpretation of analytical findings and assist in preparing results for technical and program stakeholders
Support the National Library of Medicine at the National Institutes of Health in evaluating and improving MEDLINE indexing

Requirements

What you’ll need

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
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

Benefits

Comp & perks

Medical insurance with employer-paid deductibles
Dental and vision insurance
Federal holidays and paid time off
401(k) with 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 3 years of employment
11 paid holidays
Positive work–life balance