The Cancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center at Yale School of Medicine (copper.yale.edu) is a national leader in the field of cancer-related health services and outcomes research. The Center is comprised of researchers and clinicians across The Schools of Medicine and Public Health who collaborate on a variety of research projects involving both primary and secondary data, but all sharing a common theme: furthering our understanding of the benefits, risks, and costs of cancer screening and treatment. In addition to our strong record of research dissemination in peer-reviewed journals and at scientific conferences, COPPER research has been cited in insurer coverage decisions and medical society guidelines, and is often covered in the lay press. We are seeking a qualified and curious individual to join our team. If you are interested in conducting policy-relevant cancer research with a fun and collegial group of researchers at Yale, please read on and see the link below to apply!
Under the general direction of the Director, this individual will be responsible for data management, statistical analysis, and project management for cancer-related health services and outcomes research studies at the COPPER Center. The applicant will assist the Director and affiliated research faculty with statistical analysis using SAS for multiple studies, as well as with literature searching, grant-writing, and administrative tasks such as drafting progress reports and human subject protocols. Finally, the applicant will assist the study team with disseminating results, helping to prepare manuscripts and presentations.
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:
Proven proficiency in biostatistics, constructing multivariable linear, logistic, and survival models. Ability to determine proper statistical approach for specific research questions and to learn new statistical methods as needed.
Required Skill/Ability 2:
Ability to use SAS to manage complex databases, including administrative claims databases. Ability to investigate, analyze and evaluate complex statistical and programming problems using SAS or Stata.
Required Skill/Ability 3:
Demonstrated excellent interpersonal communication and writing skills and organization and planning skills. Ability to perform basic project management tasks such as communicating regularly with diverse teams of internal and external research collaborators to maintain timeline and identify challenges to progress.
Required Skill/Ability 4:
Ability to set priorities and work independently on multiple concurrent projects. Proven ability to exercise discretion and independent judgment with respect to completing research projects in a timely and appropriate manner.
Required Skill/Ability 5:
Ability to participate in the preparation of manuscripts, abstracts, posters, and oral presentations, as well as to assist with ad hoc requests for a variety of research-related tasks, including literature searches and grant preparation.
Weekend Hours Required?: Occasional
Evening Hours Required?: Occasional
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 www.yale.edu/hronline/careers/screening/faqs.html for additional information on the background check requirements and process.
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 TitleIX@yale.edu, 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: email@example.com.