School of Public Health - Biostatistics
University Job Title
Biostatistician
Bargaining Unit
None - Not included in the union (Yale Union Group)
Compensation Grade
Clinical & Research
Compensation Grade Profile
Biostatistician (23)
Wage Ranges
Click here to see our Wage Ranges
Searchable Job Family
Administration
Total # of hours to be worked:
37.5
Work Week
Standard (M-F equal number of hours per day)
Work Location
Medical School Campus
Worksite Address
37-55 College Street New Haven, CT 06510
Position Focus:
To assist faculty from the Yale Center for Analytic Sciences (YCAS) collaborative core in the delivery of biostatistical/ epidemiologic support to clinical investigators at the Yale School of Medicine and the West Haven VA. Essential Duties of Position: Participate Analytical Clinic and take on project from the clinic with minimal supervision from the senior members. Interact with the YCAS collaborative team to provide biostatistical and epidemiologic support to clinical investigators from the Yale School of Medicine and West Haven VA from the hypothesis generation phase through the dissemination of results. Independently carry out analyses for many types of data and types of studies including clinical trials and biomarker studies. Extract research data from REDCap, OnCore or other web-based clinical trials database system, merge files and prepare data for analysis. Prepare written reports that summarize the analysis of research data, interpret the findings and provide conclusions and recommendations. Provide biostatistical consultation and assistance to faculty and others. Meet with investigators to assess data management/statistical needs. Assist investigators in the review/preparation of research protocols, grants and manuscripts for multiple projects (i.e. provide input on study design, data collection, the formulation and description of appropriate statistical methods, sample size requirements and best research methods). Work on several projects concurrently. Perform power calculations and draft written descriptions for grants, protocols and manuscripts. Assist in the training of faculty in the principles of biostatistics and study design through lectures, workshops and one-on-one interactions.
Essential Duties
1. Evaluates and analyzes data using accepted statistical and biostatistical techniques. 2. Investigates, analyzes, and evaluates complex statistical and programming problems. Determines proper methodology, testing standards, and evaluation processes for research projects. Recommends and develops statistical approaches for use in analyses. 3. Prepares analysis plans and writes detailed specifications for analysis files, consistency checks, tables, and figures; communicates with clients regarding statistical analysis issues. 4. In collaboration with research investigators, contributes to the design of research studies, develops analytical plans, conducts statistical analysis and interpret the results. 5. Ensures the integrity of databases used in analyses through development of essential data cleaning and checks, and data back-ups. 6. Plans statistical programming activities and schedules to provide investigators with time frames for projects. 7. Recommends and develops statistical approaches by testing and prototyping. 8. Organizes and creates documents and tables related to datasets; communicates with data sources about data accuracy and data dictionary. 9. May perform other duties as assigned.
Required Education and Experience
Master’s Degree in Biostatistics, Statistics or relevant field. Two years of experience; or equivalent combination of education and experience.
Required Skill/Ability 1:
Excellent written and oral communication skills: ability to write, discuss and present the statistical aspects of studies with Biostatistics team and clinical investigators.
Required Skill/Ability 2:
Excellent organization skills with the ability to multi-task by setting working priorities among several conflicting demands.
Required Skill/Ability 3:
Ability to work in a collaborative environment with the Biostatistics team and clinical investigators having differing quantitative and clinical backgrounds.
Required Skill/Ability 4:
SAS and R or other statistical programming languages.
Preferred Education, Experience and Skills:
An advanced SAS programing certificate.
Weekend Hours Required?
No
Evening Hours Required?
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. 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.
COVID-19 Vaccine Requirement
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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.
EEO Statement:
University policy is committed to affirmative action under law in employment of women, minority group members, individuals with disabilities, and protected veterans. Additionally, in accordance with Yale’s Policy Against Discrimination and Harassment, 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).
W.L. Harkness Hall, 3rd Floor, Room 303
100 Wall Street, New Haven CT 06511
203-432-0849
equity@yale.edu
Note
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