Researcher - Job Opportunity at Instructure

Remote, GB
Full-time
Mid-level
Posted: May 24, 2025
Remote
GBP 78,000 - 88,000 per year

Benefits

Comprehensive annual leave program with generous paid time off including global holidays and company-wide shutdown period providing superior work-life balance compared to industry standards
Flexible scheduling arrangements with remote-friendly culture enabling optimal productivity and personal life integration
Competitive equity participation program offering ownership stake in company growth and long-term wealth building opportunities
Comprehensive wellness programs and mental health support demonstrating commitment to employee wellbeing beyond traditional healthcare
Annual learning and development stipends supporting continuous professional growth and skill advancement
Complete technology provisioning including premium equipment typically Mac-based ensuring optimal work environment
Inclusive culture rooted in meaningful connection and support fostering collaborative excellence

Key Responsibilities

Champion and lead Instructure's comprehensive internal and external research and evaluation initiatives, establishing the organization as a thought leader in educational research
Drive data quality assurance efforts ensuring the integrity and reliability of research findings that inform critical business decisions
Execute advanced quantitative analyses including logistic regression, multilevel modeling, propensity score matching, and structural equation modeling to generate actionable insights for diverse stakeholder audiences
Lead item response theory analyses and predictive validity studies that directly impact the effectiveness and market competitiveness of assessment solutions
Develop strategic program logic models and theories of change while conducting comprehensive literature reviews that inform product development and market positioning
Translate complex educational research findings into accessible insights for non-technical stakeholders, bridging the gap between research and business application
Own end-to-end management of critical deliverables that advance product evaluations, research projects, and strategic company objectives
Orchestrate cross-functional collaboration with interdisciplinary teams including Product Managers, Designers, Marketers, and Engineers to ensure research alignment with product roadmap and business goals

Requirements

Education

Masters or Doctorate degree in Evaluation, Statistics, Educational Psychology, Psychology, Learning Sciences, Social Sciences, or other related field

Experience

At least 2-4 years of professional experience working in K-12 education research or program evaluation

Required Skills

Willingness and ability to work in a fast-paced, results-driven environment Strong time management, project management, and organizational skills Strong attention to detail Experience with Stata or R for quantitative analyses Experience translating technical findings for non-technical audiences Experience with Asana, JIRA, Trello and/or other project management tools Excellent written and verbal communication skills Proven ability to work in a highly collaborative environment with interdisciplinary teams Self-starter with a bias towards responsible action Demonstrated problem-solving aptitude and ability to remove blockers to project delivery Demonstrated ability to regularly meet and exceed expectations, particularly as it relates to communication and project deadlines
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Sauge AI Market Intelligence

Industry Trends

Educational technology is experiencing unprecedented growth driven by digital transformation accelerated by remote learning adoption, creating substantial demand for research professionals who can validate product effectiveness and inform evidence-based development strategies. There is increasing emphasis on data-driven decision making in education, with institutions and edtech companies requiring sophisticated research capabilities to demonstrate learning outcomes and justify technology investments to stakeholders. The shift toward personalized learning and adaptive assessment technologies is creating demand for researchers skilled in advanced statistical methods like item response theory and predictive modeling to optimize educational experiences. Regulatory and accreditation bodies are placing greater emphasis on evidence-based practices in education, driving demand for professionals who can conduct rigorous evaluations and communicate findings to diverse audiences.

Salary Evaluation

The offered salary range of £78,000-88,000 is competitive for the UK market and reflects strong demand for education research professionals with advanced quantitative skills. This compensation level positions in the upper tier for mid-level researchers and accounts for the specialized statistical expertise and cross-functional collaboration requirements.

Role Significance

Likely part of a lean research team of 3-8 professionals reporting to an Associate Director, with regular collaboration across product, design, marketing, and engineering teams totaling 20-40 cross-functional colleagues.
This is a mid-level individual contributor role with significant strategic impact, requiring independent ownership of complex research projects while collaborating across multiple functional teams. The role carries substantial responsibility for informing product decisions and representing the company's research capabilities to external stakeholders.

Key Projects

Large-scale efficacy studies evaluating the impact of Instructure's learning management and assessment platforms on student outcomes across diverse educational contexts Predictive validity research for assessment tools ensuring alignment with educational standards and learning objectives User experience research supporting product development cycles and feature optimization Market research and competitive analysis informing strategic positioning and product roadmap decisions

Success Factors

Mastery of advanced statistical methods and ability to select appropriate analytical approaches for complex educational research questions while ensuring methodological rigor Exceptional communication skills enabling translation of technical findings into actionable insights for diverse stakeholder groups from executives to product teams Strong project management capabilities allowing successful coordination of multiple concurrent research initiatives while meeting aggressive deadlines in a fast-paced environment Deep understanding of educational contexts and learning sciences enabling research designs that capture meaningful educational outcomes and address real practitioner needs Collaborative mindset and emotional intelligence facilitating effective partnership with cross-functional teams and external research participants

Market Demand

High demand driven by edtech sector expansion, increased focus on evidence-based education practices, and growing need for professionals who can bridge research and product development in technology-enabled learning environments.

Important Skills

Critical Skills

Advanced statistical analysis capabilities using R or Stata are fundamental to the role's success, as the position requires conducting sophisticated analyses like multilevel modeling and structural equation modeling that inform critical product decisions and validate educational effectiveness claims Ability to translate complex technical findings for non-technical audiences is essential given the need to communicate with product managers, executives, and external stakeholders who rely on research insights to make strategic decisions Project management and organizational skills are critical due to the need to manage multiple concurrent research initiatives while coordinating with cross-functional teams and meeting aggressive deadlines in a commercial environment Deep understanding of educational research methods and evaluation frameworks is essential for designing studies that capture meaningful learning outcomes and meet standards for educational and psychological testing

Beneficial Skills

Experience with R Markdown for reproducible research and automated reporting would enhance efficiency and ensure consistency in research documentation and stakeholder communication Familiarity with software development processes and agile methodologies would facilitate more effective collaboration with engineering teams and better integration of research insights into product development cycles Knowledge of educational standards and assessment frameworks would strengthen ability to design validation studies and ensure research aligns with educational policy and accreditation requirements

Unique Aspects

Opportunity to directly influence product development in a leading edtech platform used by millions of learners worldwide, creating potential for significant educational impact
Rare combination of rigorous academic research methods with fast-paced commercial product development, offering unique professional development opportunities
Access to large-scale educational data sets and real-world learning environments enabling high-quality research with practical applications
Flexible remote work arrangement with preference for specific geographic regions, indicating thoughtful approach to team coordination and collaboration

Career Growth

Progression to senior roles typically occurs within 2-3 years with demonstrated impact on product outcomes and research quality, while management track opportunities may emerge within 3-5 years depending on organizational growth and leadership development.

Potential Next Roles

Senior Researcher or Lead Researcher positions within edtech organizations, taking on larger strategic research initiatives and mentoring junior team members Research Manager or Director roles overseeing research strategy and team development across multiple product lines Principal Data Scientist positions in education-focused organizations, leading advanced analytics and machine learning initiatives Academic positions or consulting roles leveraging industry experience to advance educational research and policy

Company Overview

Instructure

Instructure is a well-established educational technology company best known for its Canvas learning management system, serving millions of users across K-12 and higher education institutions globally. The company has demonstrated consistent growth and market leadership in the competitive LMS space while expanding into adjacent areas like assessment and credentialing.

Instructure holds a strong market position as one of the leading LMS providers globally, competing effectively against established players like Blackboard and emerging solutions. The company's focus on user experience and modern technology architecture has enabled significant market share gains in recent years.
While headquartered in the United States, Instructure has established meaningful international presence including the UK market, indicating strategic commitment to global expansion and localization of educational solutions for diverse regulatory and cultural contexts.
The company emphasizes innovation, collaboration, and employee empowerment with a strong remote-friendly culture that predates recent industry shifts. The organization values data-driven decision making and maintains a relatively flat structure that encourages cross-functional collaboration and individual impact.
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