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Job Description

Support research data management and statistical analysis by building relational datasets, maintaining data pipelines, and enabling accurate reporting at Yale University in New Haven, CT.

Responsibilities

  • Create relational databases from existing study data stored across multiple data sources.
  • Design comprehensive relational database structures using advance knowledge of application factors affecting data analysis and reporting.
  • Develop and document operational procedures for collecting, editing, verifying, and managing study data.
  • Document study data files, including data structure and relationships, variable definitions, and data codes.
  • Write detailed specifications for analysis files and perform consistency checks.
  • Develop and implement statistical programs to incorporate data from multiple studies and projects.
  • Organize and create dataset-related documentation, tables, and outputs; coordinate with data sources on data accuracy and data dictionary.
  • Evaluate and analyze data using accepted statistical techniques and statistical analysis software.
  • Perform descriptive and multivariate statistical analyses using computer software.
  • Use advanced statistical knowledge to support managing and analyzing data.
  • Design and implement quality control measures to ensure accurate data collection and processing.
  • Protect database integrity through data cleaning, required checks, and data backups.
  • Handle study data documentation and transmission.
  • Help ensure data are collected and completed in a timely manner at each site location.
  • May perform other duties as assigned.

Requirements

  • Strong experience with data management systems, including proficiency in SQL, R, Python, and other scientific programming software.
  • Excellent analytical skills, including experience cleaning, analyzing, and visualizing large data sets.
  • Ability to communicate data insights through reports, presentations, and data visualizations.
  • Proven ability to work independently and collaboratively in diverse teams, with strong organizational and problem-solving skills.
  • Proven experience with statistical analysis and machine learning methods, including proficiency in tools such as SAS and Stata (or similar).
  • Master’s degree in statistics, computer science, business administration, or a related field, plus two years of experience in data management and analysis (or an equivalent combination of education and experience).
  • Experience with data collection and coordinating efforts across multiple groups.

Preferred Skills and Abilities

  • Advanced degree in a quantitative field (examples: statistics, computer science, data science, economics).
  • Demonstrated experience coordinating data management for research studies and managing complex datasets.
  • Technical experience in data modeling, database design, and data mining techniques.
  • Familiarity with data visualization tools such as Tableau or Power BI.
  • Proven experience in survey design and working with institutional data related to faculty or similar populations.

Technologies

  • SQL
  • R
  • Python
  • SAS
  • Stata
  • Tableau
  • Power BI

Education

  • Master’s degree in statistics, computer science, business administration or a related field

Job Details

  • Location: New Haven, CT (onsite)
  • Job category: Professional
  • Time type: Full time
  • Duration type: Staff
  • Work model: On-site
  • Min experience: 2 years
  • Salary: USD 68,000 - 120,500 per yearly
  • Posting date: 10/27/2026
  • Bargaining unit: NON
  • Compensation grade: Administration & Operations
  • Compensation grade profile: Manager; Program Leader (P5)
  • Salary range: $68,000.00 - $120,500.00

Background Check and Health Requirements

  • Pre-employment background screening may include motor vehicle, DOT certification, drug testing, and credit checks based on job requirements.
  • Offers are contingent on successful completion of the background check.
  • Certain roles may have associated health requirements (vaccinations, tests, or examinations) as required by law, regulation, or university policy.

Posting Disclaimer

  • Salary offers depend on qualifications, experience, skills, and education relative to requirements, plus the role’s grade profile and internal and external market conditions.
  • This job description summarizes essential functions and is not a declaration of specific duties and responsibilities.
  • Duties are assigned by the hiring department.
  • Yale University is a tobacco-free campus.

Benefits

  • A general description of the benefits is available at Yale Benefits (Managerial & Professional position).

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