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Bibliometrics Jobs (NOW HIRING)

Valency Systems Inc

Head of Research

Berkeley, CA · On-site

Experience with bibliometrics and/or research evaluation methodologies - this is a meaningful plus given our domain * Record of academic publications * Hands-on experience designing and deploying ...

Lexical Intelligence, LLC

Product Owner

Bethesda, MD · On-site

Knowledge of bibliometrics, graph theory, or natural language processing * Experience with tools such as Shortcut, Jira, or Confluence for tracking user stories * Familiarity with UI/UX design ...

Lexical Intelligence LLC

Product Owner

Bethesda, MD · On-site

$115K - $130K/yr

Knowledge of bibliometrics, graph theory, or natural language processing * Experience with tools such as Shortcut, Jira, or Confluence for tracking user stories * Familiarity with UI/UX design ...

Lexical Intelligence LLC

Product Owner

Bethesda, MD · On-site +1

Knowledge of bibliometrics, graph theory, or natural language processing * Experience with tools such as Shortcut, Jira, or Confluence for tracking user stories * Familiarity with UI/UX design ...

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Bibliometrics information

What are the key skills and qualifications needed to thrive as a Bibliometrics Analyst, and why are they important?

To thrive as a Bibliometrics Analyst, you need strong analytical skills, a background in information science or related fields, and expertise in bibliometric methods. Familiarity with citation databases (like Web of Science and Scopus), bibliometric software (such as VOSviewer or Bibliometrix), and sometimes programming languages (like R or Python) is typically required. Attention to detail, critical thinking, and effective communication are invaluable soft skills for interpreting data and presenting findings to diverse audiences. These abilities are crucial for providing accurate research impact assessments and supporting strategic decision-making in academic or research organizations.

What are some common challenges faced by bibliometricians when analyzing research impact across different disciplines?

One common challenge bibliometricians encounter is the variation in publication and citation practices across disciplines, which can make direct comparison of research impact difficult. For example, some fields publish more frequently or have higher average citation rates, skewing metrics like h-index or citation counts. Bibliometricians must use field-normalized indicators and collaborate closely with subject matter experts to ensure accurate, meaningful analyses. They also often work within interdisciplinary teams to interpret findings and communicate results to stakeholders, such as university administrators or funding agencies.

What is bibliometrics?

Bibliometrics is the statistical analysis of books, articles, and other publications to measure patterns of authorship, publication, and the influence of research within academic fields. It is commonly used to evaluate the impact of scholarly work by analyzing citation counts and publication trends. Bibliometric methods help libraries, researchers, and institutions assess research output, track scientific trends, and inform funding or policy decisions. These analyses are increasingly important in understanding research performance and guiding strategic planning in academia.

What is the difference between Bibliometrics vs Research Analyst?

AspectBibliometricsResearch Analyst
Required CredentialsMaster's degree in Library Science, Information Science, or related fieldBachelor's or Master's degree in Business, Economics, or related field
Work EnvironmentAcademic, research institutions, or publishing companiesCorporate, government, or consulting firms
Industry UsageUsed to evaluate research impact, publication metrics, and scholarly influenceUsed to analyze market data, trends, and business insights

While both roles involve data analysis, Bibliometrics focuses on measuring scholarly impact through publication metrics, whereas Research Analysts analyze market and business data to support decision-making. Both require strong analytical skills but serve different industries and purposes.

Data Scientist, Senior

Data Scientist, Senior

Booz Allen Hamilton

Arlington, VA • On-site

Full-time

Posted 2 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants

Job description

Job Summary:
Booz Allen Hamilton is seeking a Senior Data Scientist to lead complex data exploration and analytics projects for the Department of Defense. This role involves applying innovative data analytic methodologies and guiding a team to support critical missions using AI and machine learning.
Responsibilities:
• Lead complex data exploration and analytics projects through your experience with Python and AI/ML for the Department of Defense.
• Learn and apply innovative data analytic methodologies to make a real-world impact on the development of decision support tools.
• Grow your skills in data science, AI, and bibliometrics.
• Shape the future of analytics through innovative portfolio analysis and decision support tooling in DoD environments.
• Guide a team that serves critical missions from end to end.
Qualifications:
Required:
• 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
• 5+ years of experience with statistical and general-purpose programming languages for data analysis and analyzing structured and unstructured data sources
• Experience developing predictive data models, quantitative analyses, object-oriented programming, and visualization of targeted data sources
• Experience clustering and topic modeling, automated query generation, implementation of Generative AI and Large Language Models, natural language processing of unstructured data, entity disambiguation, network analysis, bibliometric and citation analysis, econometric analysis, relationship extraction, or Science and Technology forecasting
• Experience in data science tool development, ETL data pipeline development, and Python
• Experience devising and managing AI, ML, and GenAI based projects aligned to business needs
• Ability to cross-validate models to ensure their generalizability
• Secret clearance
• Bachelor’s degree in Computer Science, Data Science, Computer Engineering, or Statistics
• CompTIA Security+ CE, Unix +, or AWS Solutions Architect Certification
Preferred:
• Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL
• Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• Experience coordinating a workstream and managing tasks
• Experience in data science with a focus on Science and Technology programs
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

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Hours and flexibility

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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