Data Scientist

Updated: 3 months ago
Location: New Haven, CONNECTICUT
Job Type: FullTime

03-Jan-2024

School of Public Health - Health Policy and Management

85910BR


University Job Title

Data Scientist 1


Bargaining Unit

None - Not included in the union (Yale Union Group)


If Fixed Duration, Period

2 years from date of hire


If Fixed Duration, is continuation possible?

Yes


Other Fixed Duration Date

30-Jan-2026


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


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:

The Yale School of Public Health (YSPH) catalyzes health for all through innovative and collaborative science, learning and action. A portfolio of work, led by Chima Ndumele and Jacob Wallace, focuses on how vulnerable populations connect with and access health care resources with a particular focus on the Medicaid program. This portfolio has two components: 1) research on how the organization of the social safety-net and how its’ design influences access to care and health outcomes; and 2) optimizing the delivery of services in State Medicaid programs, including Connecticut.

This group is seeking a Data Scientist. This is an exciting opportunity for a skilled programmer who is motivated by the opportunity to produce rigorous, empirical evidence to improve public policy. The ideal candidate is an expert programmer who is fluent in either R or Python and other programming languages such Stata, has experience with large and complex health care datasets, knowledge of causal inference, and believes in YSPH’s mission. The individual will be responsible for: working with faculty and the Director of Data Science and Analytics to explore, process, and analyze data to solve specific research questions cleaning, merging, and implementing linkages of data across multiple sources and projects to facilitate research across the group building traditional statistical models and machine learning algorithms for a variety of research projects using data science, econometric, and machine learning methods to extract meaning from data and identify causal relationships creating   clear and impactful visualizations of research results for papers/reports, website, memos, and presentations targeting academic researchers and policy-makers writing and reviewing code and documenting best practices sharing coding best practices with incoming pre-doctoral research fellows opportunity to contribute to analysis plans, executing on those plans with regular guidance from the Director of Data Science and Analytics opportunity to make substantive contributions to publications.

he Position Focus most accurately describes this role, while the Essential Duties provides general context for all Data Scientist roles at Yale.


Essential Duties

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.Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation.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 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 experience or an equivalent combination of education and experience.


Required Skill/Ability 1:

Demonstrated ability working with large and complex datasets.


Required Skill/Ability 2:

Fluency in multiple programming languages including either R or Python.


Required Skill/Ability 3:

Knowledge of social science or econometric research methods.


Required Skill/Ability 4:

Strong organizational skills, attention to detail, and ability to prioritize and manage multiple assignments simultaneously.


Required Skill/Ability 5:

Strong interpersonal skills, communication skills, and the ability to interact well with faculty, staff, and research partners internally and externally.


Preferred Education, Experience and Skills:

Graduate Degree in in computer science, data science, statistics, economics, or related field and at least two years of related data analysis experience. Health policy research experience. Experience working with Medicaid and health data.


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



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