Senior Statistician

Yale Cancer Center; New Haven (CT); On-site; USD 80,000 - 100,000; Full time

Job summary

Yale Cancer Center in New Haven seeks an experienced Senior Statistician to conduct complex institutional research and manage high-value data products. The ideal candidate will possess advanced expertise in statistical methods, experience with R or Python, and a Master's degree in a related field.

The position involves analyzing data, preparing reports, and acting as a key resource for data integrity and analysis within the institution.

Qualifications

• Master's degree in a related discipline and six years of experience or equivalent.
• Advanced expertise in statistical methods.
• Proficient in R or Python for analysis.

Responsibilities

• Conduct institutional research and analyze data.
• Manage high-value data products.
• Transform data for analysis and reporting.
• Prepare reports and presentations.

Skills

Statistical methods expertise

Programming in R or Python

Data quality management

Data visualization

Collaborative skills

Task prioritization

Adaptability

Education

Master's in Biostatistics, Statistics, Data Science, or related field

Tools

SQL

Job description

Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale!

Overview

The Office of Institutional Research (OIR) provides information to support university decision‑making through analytic activities, data‑gathering tasks, and research projects. OIR serves as a clearinghouse for statistical information about the University. This position is an expert individual contributor, conducting institutional research that requires the management of nuanced data, creation of supporting data systems, and marshaling of expertise from related offices. The Senior Statistician will determine relevant data, arrange for collection, conduct analysis using appropriate statistical techniques, and prepare and present reports.

Required Skills and Abilities

• Advanced expertise in statistical methods and research design relevant to higher education, including causal inference and multivariate analysis.
• Proficient in one or more programming languages for statistical analysis and data preparation (e.g., R or Python; SAS, Stata, MATLAB).
• Proven ability to create large, complex data sets from disparate sources while managing data quality for analysis and data management.
• Demonstrated skill in producing visualizations using coded processes (e.g., Tidyverse, Quarto, Shiny).
• Commitment to pairing effective data communication with rigorous research design and analysis.
• Excellent collaborative interpersonal skills with ability to translate technical information to non‑technical audiences.
• Experienced independent operator handling multiple tasks to meet deadlines, prioritizing and following through on projects.
• Adaptability to changes in work priorities, weighing multiple factors (e.g., mission, client goals, statistical rigor, research ethics, timeline).

Preferred Education and Experience

Experience with R or Python, experience or training in design of quantitative and qualitative assessments, experience executing queries against relational databases (e.g., SQL). Master’s degree or higher in Biostatistics, Statistics, or a related quantitative field such as data science, social sciences, econometrics, public health, and computational sciences.

Principal Responsibilities

• Conduct institutional research; analyze internal and peer data to support university policies.
• Manage creation of high‑value data products from complex, sensitive data sources.
• Access multiple university data sources: extract, merge, and/or collect relevant data.
• Transform institutional/transactional data for analysis and reporting, ensuring high data integrity.
• Act as expert resource to colleagues within and outside OIR to enhance quality of data and analysis.
• Prepare materials and communicate information clearly to internal and external audiences.
• Generate summary analysis at the university level.
• Prepare data for submission to external data exchanges (e.g., IPEDS, AAUDE).
• Apply advanced statistical knowledge to support management and analysis of data.
• Provide analytic support to faculty, administrative committees, and university leadership.
• Prepare reports and presentations using both text and graphics.
• Develop protocols for survey‑based data collection and design data‑gathering instruments.
• Stay abreast of relevant higher‑education issues, new tools or techniques to improve data collection, storage, or reporting.
• Convene analysts and other data colleagues in a community of practice to enhance data use and analytical skills across university units.
• Perform additional duties as assigned.

Required Education and Experience

Master's degree in a related discipline and six years of experience or an equivalent combination of education and experience.

The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era, or other covered veteran.

Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).

Yale University is a tobacco‑free campus.