[Hiring] Biomedical Data Analyst @Computercraft Corporation

Role Description

Computercraft 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, you will work full-time providing data analysis and computational support for data-driven efforts to evaluate and improve the MEDLINE indexing product.

• 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.

Qualifications

• 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.

Benefits

• The anticipated salary range for this position is $110,000–$135,000 annually.
• Excellent benefits package including health, dental, vision, and disability and life insurance.
• 401(k) plan with matching.
• Paid leave starting at 128 hours/year for the first 3 years of employment.
• 11 paid holidays.
• Opportunity for a positive work–life balance with a standard 40-hour work week.
• Chance to work alongside a team of highly accomplished professionals.