Connecticut, United States
18 May 2020
End of advertisement period
18 Jul 2020
Contract Type
Full Time

Position Focus:

The Yale/Yale New Haven Hospital Center for Outcomes Research and Evaluation (CORE) is a leading national outcomes research center dedicated to transforming healthcare for the betterment of people and society by leveraging data, analytics, and technology. We have assembled a talented, multidisciplinary group who are committed to developing solutions to the practical needs of medicine and healthcare. Our organization combines the highest academic ideals with a pragmatic approach that emphasizes the production of useful knowledge. We are distinguished by our creativity, dedication, experience, and skills – and our commitment to having our work make a tangible difference to patients, the public, and society.

CORE is seeking an entry level Statistician I who will work under the direction of the Director of Data Management and Analytics to provide comprehensive statistical support to multiple contract and grant funded health outcomes projects.

The Statistician I will perform a variety of duties involving the application of statistical and/or machine learning methods to the analysis of health outcomes data. They will work as part of a project team to: provide input in the design and analysis of research questions, assist in drafting analytic plans, prepare manuscripts/technical reports, and present/communicate statistical interpretations of data for multiple audiences with various technical backgrounds. The Statistician I will also process/clean data, conduct analyses, and clearly document and disseminate findings. As part of a project team, they collaborate with a group of multidisciplinary team members to achieve project goals.

Dept/Section URLClick here for more information

Essential Duties

  1. Performs a variety of duties involving the application of statistical skills to the design of research studies. Works as a member of a research team/study team to provide appropriate statistical input in the design, execution and analysis of studies.
  2. Participates in the development of operations and procedures for the collection, editing, verification and management of statistical data.
  3. Operates one or more systems of computer hardware and statistical analysis software for the management and analysis of data. Evaluates the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
  4. Analyzes and interprets statistical data to identify significant differences in relationships among sources of information.
  5. Processes large amounts of data for statistical modeling and graphic analysis, using computers.
  6. Investigates, evaluates and prepares reports on applicability, efficiency, and accuracy of statistical methods used in obtaining and evaluation data.
  7. Participates in the preparation of written and oral presentations that summarize the analysis of data, interprets the finding and provides conclusions and recommendations.
  8. May perform other duties as assigned.

Required Education and Experience

Master's degree in Statistics, Biostatistics, Epidemiology or related field or an equivalent combination of education and experience.

Required Skill/Ability 1:

Coursework in generalized linear, generalized linear mixed, survival, and Bayesian models and/or machine learning methods.

Required Skill/Ability 2:

Knowledge and related experience utilizing statistical programming (SAS/R/Python) for generalized linear, generalized linear mixed, survival, and Bayesian models and/or machine learning applications.

Required Skill/Ability 3:

Well-developed analytical, organizational, oral and written communication skills. Demonstrated strong ability to communicate technical ideas and results to non-technical customers in written and verbal formats.

Required Skill/Ability 4:

Ability to work in a multidisciplinary team environment and manage/ prioritize multiple projects to ensure their quality and on-time delivery.

Required Skill/Ability 5:

Proven reliability, professionalism and flexibility. Careful and thorough and at the same time adaptable and innovative in conducting statistical analysis.

Preferred Education, Experience and Skills:

Previous experience as a statistician for healthcare services or medical field projects. Experience with healthcare data, particularly Medicare or other insurance claims data, clinical registry, Electronic Health Records (EHR), or patient reported outcomes for statistical analysis highly preferred.

Drug Screen No
Health Screening No

Background Check Requirements

All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. Please visit for additional information on the background check requirements and process.

Posting Disclaimer

The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the particular position. Employees will be assigned specific job-related duties through their hiring departments.

Affirmative Action Statement:

Yale University considers applicants for employment without regard to, and does not discriminate on the basis of, an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation or gender identity or expression. Title IX of the Education Amendments of 1972 protects people from sex discrimination in educational programs and activities at institutions that receive federal financial assistance. Questions regarding Title IX may be referred to the University’s Title IX Coordinator, at, or to the U.S. Department of Education, Office for Civil Rights, 8th Floor, Five Post Office Square, Boston MA 02109-3921. Telephone: 617.289.0111, Fax: 617.289.0150, TDD: 800.877.8339, or Email:


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