Senior Research Data Support Analyst

Updated: about 1 month ago
Location: New Haven, CONNECTICUT
Job Type: FullTime

28-Feb-2024

Yale School of the Environment - Research

86863BR


University Job Title

Senior Research Data Support Analyst


Bargaining Unit

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


If Fixed Duration, Period

3 years from date of hire


If Fixed Duration, is continuation possible?

Yes


Other Fixed Duration Date

30-Jun-2027


Compensation Grade

Administration & Operations


Compensation Grade Profile

Senior Manager; Senior Program Leader (P6)


Wage Ranges

Click here to see our Wage Ranges


Searchable Job Family

Computing and Information Systems, Research Res Support


Total # of hours to be worked:

37.5


Work Week

Standard (M-F equal number of hours per day)


Work Location

Central Campus


Worksite Address

195 Prospect Street
New Haven, CT 06511


Position Focus:

Join the Yale School of the Environment (YSE) and use your data and computational skills to help tackle important environmental and sustainability challenges, including climate change, biodiversity loss, and the energy transition.

Successful candidates will provide professional consultation and direct support to researchers engaged in data-intensive projects across the many disciplines in YSE. They will consult with and guide researchers on data pipelines and computational workflow, guiding and helping directly implement solutions. Solution may include data workflow design plans and protocols for maintenance and management of data sets through all phases of research; review progress and assure accuracy and compliance of data being acquired and stored; computational research support, which may range from suggesting to implementing approaches to helping streamline and improve coding efficiency.

Successful candidates will also provider mentorship to less experienced members of the team, and also work with and serve as a liaison between YSE researchers and Yale-wide computational support organizations including the Yale Center for Research Computing (YCRC), the library and statistics lab, Data intensive Social Science Center (DISSC), the Geospatial Data Research Center, and the Digital Humanities Lab. This position reports to the Sr. Associate Dean or Assistant Dean of Research for the YSE.

Individuals in this position are expected to have the necessary skills to help acquire data from various sources; cleaning, merging, and organizing complex data across multiple projects; improving coding efficiency; and creating data visualizations. Ideal candidates will have practical working experience organizing large data sets in a linux environment, often requiring parallel processing (e.g., dask, spark, dbt), and working in R, python, or SQL environment. YSE research projects may involve working with data set too large to load into RAM all at once; cloud services (i.e. AWS, Azure, and Google Cloud); columnar data types, coding collaboration solutions (e.g., GitHub). Successful candidates are expected to have experience with, or by ready to learn, data visualization; statistical methods, machine learning and AI-based methods; geospatial data management, image processing and computer vision; and text to data.


Essential Duties

1. Consult to faculty and researchers regarding their projects and needs related to data infrastructure and processes. Discuss suggested project designs solutions and develop requirements for new university needs and capacities, where needed.2. Work with procurement and legal teams to assist researchers to locate and acquire more complex data resources. Serve as resource to university on improving these processes as needs arise.3.   Design plans and protocols for maintenance and management of data through all phases of research lifecycle; review progress and assure accuracy and compliance of data being acquired and stored.4. Provide technical support and computing assistance to faculty and researchers in the university’s social science departments and schools.4b. Investigate new computing technologies (in areas such as hardware, software, and networking, depending on the candidate's interests and expertise).5. Implement statistical methods for descriptive and causal designs and learn new research methods as needed.6. Develop technical solutions for archiving and dissemination solutions for research across disciplines.7. Serve as mentor and resource to less experienced members of team. 8. May perform other duties as assigned.


Required Education and Experience

Bachelor's Degree in a related field and minimum of 7 years of related experience in academic or scientific research support or an equivalent combination of education and experience.


Required Skill/Ability 1:

Demonstrated ability to clearly communicate and document computational workflows.


Required Skill/Ability 2:

A portfolio capable of demonstrating computation skills mentioned in this job announcement.


Required Skill/Ability 3:

Proven ability to work on multiple unrelated projects simultaneously and a demonstrated interest in the environment, natural resources, energy, climate change, and/or sustainable development.


Required Skill/Ability 4:

Proven leadership and workflow management skills, with the ability to mentor others.


Required Skill/Ability 5:

Proven ability to work with computationally literate scientists who do not have formal computer science backgrounds.


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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