Biomedical Data Analyst

🔥 1 minute ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $110k - $135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Computercraft Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Computercraft Corporation is an American Indian– and Woman-owned small business that provides technical, scientific, and management support services aimed at advancing biomedical research and human health. The company specializes in building and refining high-profile information resources to deliver accurate health and biomedical research data to researchers and stakeholders globally, thereby tackling significant health challenges. Additionally, Computercraft offers program management office support to sustain public health efforts. The company is dedicated to open access, managing large genetic sequence databases, and facilitating the sharing of full-text journal articles. Employing Agile methodology, Computercraft develops health IT resources, such as databases and software, to standardize data collection and promote human health. With a commitment to health communication and outreach, they provide educational materials and services to policymakers, medical providers, scientists, and the public. Notably, Computercraft serves key clients like the National Institutes of Health, National Library of Medicine, and several other renowned institutions.

📋 Description

• 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

• 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

• 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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume