Research Associate

POSITION SUMMARY

This full-time, in-person Research Associate position supports an applied research collaboration

focused on Cleveland Clinic ("CCF") organizational learning and capital benchmarking. The role

uses mixed-methods research, and involves working with internal and external stakeholders, as

well as extensive data analysis.

Working with faculty, CCF project partners, students, and technical staff, the Research Associate

will support organizational teamwork and leadership development, as well as convert complex

capital-project records into validated benchmark cohorts and usable decision-support views. The

ideal candidate effectively navigates diverse tasks, including stakeholder engagements

(interviews, meetings, surveys, etc.); data management, analysis, and tooling; and written

products.

Location: Case Western Reserve University, Cleveland, OH

In compliance with the City of Cleveland's Pay Transparency Ordinance (effective

October 27, 2025), the annual starting base salary range for this position is from

$52,000 - $80,000. CWRU considers factors such as (but not limited to) the specific

grant funding and the terms of the research grant, as well as the scope and

responsibilities of the position, candidate's work experience, education/training, key

skills, and internal peer equity. University employees enjoy a comprehensive benefits

package that includes excellent healthcare, retirement plans, tuition assistance, and

paid time off.

ESSENTIAL FUNCTIONS

1. Perform literature reviews. Help craft academic products from the study. (5%)

2. Manage, construct, and analyze quantitative and qualitative datasets. Augment databases

to identify missing information. Work with CCF employees to access and update these

sources. (15%)

3. Work with CCF partners to develop, refine, and validate construction and project

taxonomies. (20%)

4. Create data collection instruments, including observation protocols, interview schedules,

survey questionnaires, stakeholder feedback forms, and project validation questionnaires.

Train others how to administer these instruments with construction project teams and

CCF partners. Collect data during assessments, focus groups, and study team meetings.

Coordinate, track, and follow up on interviews and daily project operations. (20%)

5. Carry out quantitative and qualitative analyses of observational, interview, survey,

project-cost, and source-system data using appropriate software programs such as Excel,

SPSS, SQL, R, or Python. (10%)

6. Contribute to sponsor reports and presentations, technical appendices and data

dictionaries, and funding proposal preparation and writing. (5%)

7. Contribute to the integration of the benchmarking tool or site into CCF's enterprise

reporting environment. (20%)

8. May supervise student research assistants. (5%)

REQUIRED SKILLS:

Excellent interpersonal and written communication skills.

Highly organized, proactive and solution oriented approach.

Demonstrated interest in living out the best practices established in this research:

respectful engagement, constructive feedback, appreciation of strengths, and a growth

mindset while working with others.

Experience in Microsoft Suite (Word, Excel, PowerPoint), and/or related email, internet,

and collaboration applications such as GSuite.

Comfort working with structured data and databases.

Expertise or strong interest in quantitative data collection, including survey questionnaire

development and structured project-validation forms.

Expertise or strong interest in qualitative data collection and analysis, including

interviewing, coding, memoing, and translating stakeholder knowledge into repeatable

tags and decision rules.

Ability to read and interpret project records such as contracts, scopes of work, schedules

of values, invoices, budgets, change orders, etc.

DESIRABLE SKILLS:

Prior experience with conducting and publishing mixed methods research.

Prior organizational development expertise, such as coaching, consulting, team

facilitation, or action research.

Basic background with construction, facilities, architecture/engineering, healthcare real

estate, capital projects, project controls, and/or construction management.

Experience with construction cost systems.

Experience with Oracle databases or technical collaboration around enterprise platform

integration.

Proficiency with R, Python, SQL, Power BI, SPSS, Stata, Mplus, Nvivo, Tableau, and/or

Dedoose

Experience responding to RFPs, preparing sponsor-facing proposals, or obtaining

external grant funding.

Required Educational Experience:

BA / BS in Data Science, Economics, Engineering, Management, Psychology, or related

fields

MA or PhD preferred