Biomedical Data Analyst

Computercraft Corporation; United States; Remote; USD 110,000 - 135,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

401(k) with matching

Paid leave 128 hours/year

11 paid holidays

Job summary

Computercraft Corporation seeks a Biomedical Data Analyst to support NLM at NIH in Bethesda, MD, focusing on data-driven evaluation of MEDLINE indexing and MeSH vocabulary. This full-time, remote role collaborates under senior guidance to process and analyze PubMed datasets, develop reproducible data workflows, and communicate insights to stakeholders.

Ideal candidates have a strong data science background, proficiency in Python or R, and experience with data cleaning, transformation, and

Qualifications

• B.S.-level or higher in data science, CS, statistics, bioinformatics, or related field.
• 5 years of data analysis experience.
• Proficiency in at least one data analysis language (Python or R).
• Experience with structured datasets and data quality checks.

Responsibilities

• Support quantitative analyses evaluating MeSH indexing and impact on MEDLINE/PubMed users.
• Prepare and process PubMed GUI, API, user search and click data for analysis.
• Develop scripts for data extraction, cleaning, transformation, and analysis.
• Assist with reproducible data processing workflows and QA.
• Perform exploratory data analysis to identify patterns and trends.
• Calculate and report performance measures for indexing and vocabulary.
• Conduct data quality checks and investigate anomalies.
• Develop tables, charts, and summaries to communicate findings.
• Document code, procedures, and results for reproducibility.
• Submit analyses for review and QA; address feedback.

Skills

Data analysis

Python (pandas)

R (tidyverse/dplyr)

Statistics

Data cleaning

Data transformation

Exploratory analysis

Microsoft Excel

SharePoint

Teams

Jira

Public Trust clearance

Education

Bachelor's degree in data science / related field

Tools

Python

R

Job 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. NLM is the world’s largest biomedical and health research library and maintains a preeminent collection of biomedical literature and information resources. To make biomedical and life sciences literature accessible, NLM maintains PubMed (a publicly accessible search engine), which includes MEDLINE, a bibliographic database with more than 31 million references. MeSH (Medical Subject Headings), a distinctive feature of MEDLINE, is NLM’s controlled vocabulary thesaurus that gives uniformity and consistency to the references.

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. Working under the technical direction and oversight of the Senior Biomedical Data Analyst and within established analytical approaches, you will support the processing, preparation, validation, and analysis of datasets, including PubMed web search and API user log data, used to evaluate MeSH vocabulary and automated MeSH indexing algorithm performance. You will assist with analyses of indexing performance and user search behavior and contribute to the development of data products, reports, and other analytical outputs used to inform improvements to MEDLINE indexing.

Work performed by the Biomedical Data Analyst is subject to technical review and quality assurance by the Senior Biomedical Data Analyst. The Biomedical Data Analyst shall incorporate feedback, make necessary corrections, and maintain analytical code, documentation, and work products in accordance with established methodologies, technical standards, and quality requirements.

This is a remote position.

Job Responsibilities

• 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.

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

The anticipated salary range for this position is $110,000–$135,000 annually. The starting salary within this range will be based on relevant experience, qualifications, and skills.

Computercraft offers an excellent benefits package that includes health, dental, vision, and disability and life insurance; a 401(k) plan with matching; paid leave starting at 128 hours/year for the first 3 years of employment; and 11 paid holidays. We also offer the opportunity for a positive work–life balance with a standard 40-hour work week and the chance to work alongside a team of highly accomplished professionals.

To learn about other Computercraft job opportunities, please visit the Careers section of our website: https://www.computercraft-usa.com/.

EEO Employer – Disability/Veteran/Race/Color/Religion/Sex/National Origin/Genetic Information