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The Principal Learning Scientist will lead the internal research agenda by identifying evidence gaps and designing studies to inform product and business strategy across the Lemnis collective. They will translate complex research findings into actionable product recommendations and provide data-driven insights to support sales and marketing efforts.
1. Cross-Portfolio Research Strategy
Conduct a standing audit of research gaps across Lemnis collective companies, identifying where evidence is thin, contradictory, or missing
Partner directly with business leads across each Lemnis company to build and prioritize a portfolio-wide research agenda, translating business priorities and desired impact outcomes into a shared set of research questions on student engagement, belonging, self-efficacy, and persistence
Regularly review research priorities with business stakeholders to confirm the agenda stays tied to measurable business and impact goals, adjusting scope as company strategy evolves
Design studies that generalize across companies and product lines, rather than one-off, single-partner analyses
Maintain a shared internal evidence base so findings from one Lemnis company inform strategy and roadmap decisions at another
Build and maintain a theory of change and logic model for Lemnis collective organizations, nested within the Lemnis theory of change
2. Applied Research & Measurement
Design and execute studies: RCTs, quasi-experimental designs, longitudinal analyses, social network analysis, and psychometric/survey work, to answer priority research questions
Apply and refine behavioral science frameworks (e.g., the SPARK model, self-determination theory, mindset science, nudging) across Lemnis products and messaging
Build measurement models for engagement, belonging, self-efficacy, purpose and future readiness that hold up across companies, populations, and product types
Ensure methodological rigor, ethical execution, and alignment with Center for Ethical AI (CEAI) standards across all research
Identify the outcomes Lemnis Collective organizations can credibly influence and set defensible attribution standards that distinguish correlational, quasi experimental, and causal claims
Align study designs with recognized evidence standards (e.g. ESSA tiers, What Works Clearinghouse) so findings are usable in K-12 and postsecondary procurement
3. Product & Feature Translation
Translate research findings into concrete, actionable product and feature recommendations for Lemnis companies
Partner with Collective teams to embed behavioral science principles directly into features, messaging, and user experience
Help prioritize research-backed opportunities on the product roadmap and validate feature performance post-launch
Serve as the primary translator between academic evidence and product decision-making across the collective
Recommend in-product features that enable partner institutions, districts, and schools to self-assess their impact
4. Sales, Marketing & Customer Success Enablement
Equip Sales and Marketing with research-informed data points, proof points, and ROI narratives across the Lemnis portfolio
Develop reusable evidence assets - one-pagers, slide content, talking points, data visualizations - that make complex findings clear and compelling
Support RFPs, renewals, and competitive positioning with credible, research-backed differentiation
Partner with Marketing on thought leadership, case studies, and campaigns grounded in Lemnis's research base
Support Sales, Customer Success, and Implementation teams in interpreting and communicating efficacy data accurately
5. Center for Ethical AI (CEAI) Contribution
Contribute research and evidence to the CEAI's four pillars: Research & Evidence, Implementation & Practice, Ethical Standards, and Field Leadership
Co-author frameworks, white papers, and standards that shape ethical AI practice in student engagement
Represent Lemnis research at conferences, convenings, and partner events
6. Cross-Functional & Cross-Company Collaboration
Partner with the Director of Research to keep partner-embedded studies and internal research agendas aligned, not duplicative
Build relationships with leaders across each Lemnis collective company to surface emerging research needs early
Mentor research scientists and analysts on study design, measurement, and evidence translation as the collective grows
Number and priority-fit of internal research gaps identified and closed across the collective
Research findings translated into shipped product or feature changes
Sales and Marketing enablement assets produced and actively used in deals
Consistency and reuse of measurement frameworks across Lemnis companies
Publications, frameworks, white papers, and conference contributions
CEAI contributions (frameworks, standards, convenings)
Time from research question identified to actionable recommendation delivered
We are seeking a principal-level research scientist with:
Doctorate in psychology, learning sciences, education, or a related behavioral science field
8+ years designing and executing applied research, including randomized controlled trials, quasi-experimental designs, and mixed-methods studies
Deep expertise in belonging, identity, motivation, and social-emotional development, and how these shape student engagement and persistence
Fluency in advanced quantitative methods (e.g., structural equation modeling, social network analysis) alongside qualitative methods (interviews, focus groups, narrative and digital storytelling approaches)
Background in education technology, including assessment and efficacy research or large-scale learning-outcomes studies
Demonstrated ability to translate research into product decisions, not just publications
Experience developing evidence assets that support sales, partnerships, or business development
Familiarity with ethical AI principles, IRB processes, and responsible research practices in education
Comfort operating across multiple companies or business units, synthesizing evidence into a shared, portfolio-wide narrative
Excellent written and verbal communication; able to move between academic rigor and executive clarity
Understanding of how K-12 districts and post-secondary institutions make decisions and define success (preferred)
Applied research rigor across qualitative and quantitative methods
Behavioral science fluency (SPARK, self-determination theory, nudging, implementation intentions)
Evidence-to-product translation
Evidence-to-narrative storytelling for sales and marketing
Cross-company, portfolio-level systems thinking
Ethical AI awareness and responsible research practice
Intellectual curiosity, scientific integrity, and collaborative influence without authority
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