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 to support multiple contract and grant-funded health outcomes projects under the direction of the Director of Data Management and Analytics. The Statistician I will assist in applying statistical and/or machine learning methods to analyze health outcomes data. Key responsibilities include contributing to the design and analysis of research questions, helping to draft analytic plans, and preparing manuscripts and technical reports. The Statistician I will assist in presenting and communicating statistical interpretations to diverse audiences with varying technical backgrounds. Additionally, they will process and clean data, conduct analyses, and clearly document and disseminate findings. Working as part of a multidisciplinary project team, the Statistician I will collaborate with various team members to achieve project goals and ensure high-quality analytical results.
Essential Duties
- 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.
- Participates in the development of operations and procedures for the collection, editing, verification and management of statistical data.
- 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.
- Analyzes and interprets statistical data to identify significant differences in relationships among sources of information.
- Processes large amounts of data for statistical modeling and graphic analysis, using computers.
- Investigates, evaluates and prepares reports on applicability, efficiency, and accuracy of statistical methods used in obtaining and evaluation data.
- Participates in the preparation of written and oral presentations that summarize the analysis of data, interprets the finding and provides conclusions and recommendations.
- 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 demonstrated experience.
Required Skill/Ability
- Demonstrated coursework in generalized linear, generalized linear mixed, survival, and Bayesian models and/or machine learning methods
- Knowledge and related demonstrated experience utilizing statistical programming (SAS/R/Python) for generalized linear, generalized linear mixed, survival, and Bayesian models and/or machine learning applications.
- 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.
- Ability to work in a multidisciplinary team environment and manage/ prioritize multiple projects to ensure their quality and on-time delivery.
- Ability to be reliable, professional and flexible. Ability to be careful, thorough and at the same time adaptable and innovative in conducting statistical analysis.
Preferred Education, Experience and Skills:
Demonstrated experience as a statistician for healthcare services or medical field projects. Demonstrated 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.
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. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.
