School of Public Health - Biostatistics
University Job Title
Data Scientist 1
Bargaining Unit
None - Not included in the union (Yale Union Group)
If Fixed Duration, Period
1 year from date of hire
If Fixed Duration, is continuation possible?
Yes
Other Fixed Duration Date
23-Jun-2025
Compensation Grade
Administration & Operations
Compensation Grade Profile
Manager; Program Leader (24)
Wage Ranges
Click here to see our Wage Ranges
Searchable Job Family
Administration, Computing and Information Systems, Research/Support
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
60 College Street
New Haven, CT 06510
Position Focus:
Yale School of Public Health (YSPH) is seeking a Data Scientist to join the Public Health Data Science and Data Equity research team with a primary home in the Department of Biostatistics. The Data Scientist will work with Dr. Bhramar Mukherjee, Ph.D., the inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics, Professor of Chronic Disease Epidemiology, Professor of Statistics and Data Science, with a focus on creating and maintaining software packages, providing user support and training in coding and software package writing, and providing statistical analysis for research projects.
Responsibilities include develop and execute new and/or highly complex machine learning algorithms and statistical models and determine analytical approaches and modeling techniques for analysis of complex healthcare data. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects through the research cycle from data exploration, model building, performance evaluation, through implementation.
Develop shiny/JAVA apps, visualization tools and R-packages to support investigators at YSPH and facilitate their submissions to R CRAN. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work.
Attend weekly meetings to discuss team and project-related activities, issues, change, communications, and updates. Participate in preparation of grants and papers. Assist with data use agreements and dataset licenses. Support Yale SPH faculty and students with high performance computing and coding assistance. Develop short courses and workshops on using AI tools for coding and visualization. Prepare analytic datasets from a secure portal that stores data from large biobanks.
Essential Duties
1. Develop and execute new and/or highly complex algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. 2. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. 3. Manage analytical projects from data exploration, model building, performance evaluation, through implementation. 4. Develop work plans and monitor progress and project timelines. 5. Document coding and changes to work plans using established work group methods in GitHub. 6. Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work. 7. Attend weekly team meetings to discuss team and project-related activities, issues, change, communications, and updates.
Required Education and Experience
Master’s Degree in computer science, applied/computational mathematics, engineering, biostatistics, statistics, or a quantitative field such as astronomy or geology, economics, health policy, health services research, public policy, or a related field and two years of proven experience or an equivalent combination of education and demonstrated experience.
Required Skill/Ability 1:
Demonstrated experience using: RStudio, MarkDown, ggplot.
Required Skill/Ability 2:
Demonstrated experience coding with R, including parallelization and data visualization techniques.
Required Skill/Ability 3:
Ability to understand data science workflows.
Required Skill/Ability 4:
Excellent oral and written communication skills.
Required Skill/Ability 5:
Strong strategic, analytical, and problem-solving skills.
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
The University maintains policies pertaining to COVID-19. All faculty, staff, students, and trainees are required to comply with these policies, which may be found here:
https://covid19.yale.edu/health-guidelines
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).
Note
Yale University is a tobacco-free campus