Pearson

Lead, Learning Scientist

Pearson$145K — $165K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Deep expertise in learning science principles such as cognitive load and retrieval techniques.
  • Strong background in designing assessments and modeling mastery.
  • Proven experience in creating comprehensive learning systems rather than just standalone courses.
  • Ability to transform pedagogical concepts into systematic, buildable logic.
  • Experience in leveraging data to assess and enhance learning outcomes.
  • Excellent cross-functional collaboration skills focusing on clear, outcome-oriented communication.

Responsibilities

  • Own the design of pedagogical architecture for digital and blended learning.
  • Develop adaptive system logic based on learner performance metrics.
  • Model misconceptions to enhance measurability of learning outcomes.
  • Design interactive learning experiences in partnership with UX teams.
  • Prototype learning interventions and validate their effectiveness through experimentation.
  • Measure learning outcomes and optimize the system based on defined success metrics.
  • Create scalable learning design systems to facilitate consistency and efficiency in delivery.

Benefits

  • Work remotely from anywhere in the US.
  • Opportunity to participate in an annual incentive program.
  • Engagement in innovative digital education initiatives.
  • Professional development and collaboration with cross-disciplinary teams.
Full Job Description
Job Description

Lead Learning Designer, HEd

Location : US - Remote

ROLE SUMMARY

Owns the pedagogical architecture and learning system design of digital and blended Higher Education products.

This role defines how learning works at a system level - from skill progression and mastery definitions to misconception handling, adaptivity, feedback and mastery logic; ensuring experiences are not just engaging, but instructionally effective, measurable and scalable.

The Senior Learning Design is embedded within product pods as the authority on learning science and learning system behaviour, partnering with Product, UX and Engineering to translate the product vision into learning systems that demonstrably improve outcomes.

WHAT YOU'LL DO

  1. Own Pedagogical Architecture
    Design how learning works across the product - defining progression, mastery, practice and assessment flows in cohesive, evidence-based learning blueprints.


  1. Define Adaptive Logic
    Translate pedagogy into system behaviour by designing adaptive pathways, remediation and stretch logic, and specifying how the system responds to learner performance and why.


  1. Model Misconceptions & Diagnostics
    Make learning measurable by modelling misconceptions, defining diagnostic signals and designing targeted interventions to improve understanding.


  1. Design Learning Interactions (with UX)
    Ensure interactions drive understanding by defining learning patterns (e.g. retrieval, Socratic dialogue flows, etc.), feedback strategies and cognitively efficacious experiences in partnership with UX.


  1. Prototype & Validate Learning Efficacy
    Test what works by developing learning prototypes, defining hypotheses and running experiments to validate impact on accuracy, retention and transfer.


  1. Measure & Optimise Learning Impact
    Drive continuous improvement by defining success metrics (e.g., mastery, retention, etc.), specifying required instrumentation and using data to refine system performance.


  1. Build Scalable Learning Design Systems
    Enable quality at scale by creating feasible and reusable learning patterns, interaction blueprints and standards that ensure consistency and accelerate delivery.


  1. Operate as Core Pod Partner
    Embed learning design into product development by working with Product, UX and Engineering to translate strategy into buildable learning systems.


WHAT SUCCESS LOOKS LIKE

  1. Learning Outcomes


  • Learners reach clearly defined mastery thresholds


  • Misconceptions decrease measurably over time


  • Retention improves beyond short-term correctness


  • Learners successfully transfer knowledge to new contexts


  1. System Efficacy


  • Adaptive behaviour outperforms static pathways


  • Learning interactions produce deep understanding, not just completion


  • Learners progress efficiently (e.g., reduced time to mastery)


  1. Product & Delivery Impact


  • Learning specifications are clear, actionable and reduce build ambiguity


  • Prototypes and early validation prevent late-stage rework


  • Reusable systems reduce E2E content and development cost


WHAT YOU BRING

  • Deep learning science expertise (e.g., cognitive load, retrieval, spacing, etc.)


  • Strong background in assessment design, mastery modelling and diagnostics


  • Proven experience designing learning systems, not just courses or content


  • Ability to translate pedagogy into explicit, buildable system logic


  • Experience using data to evaluate and improve learning effectiveness


  • Strong cross-functional collaboration skills, with a focus on outcomes and clarity


Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:

The minimum full-time salary range is between $145,000 - $165,000.

This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

Applications will be accepted through June 5th. This window may be extended depending on business needs.

About Pearson

Pearson is a publishing and education company that provides educational materials, learning technologies, and assessments to schools, universities, and professional organizations. The company's products and services include textbooks, online learning platforms, and certification exams. Pearson's customers include the University of Phoenix, the British Council, and the Association of Chartered Certified Accountants.
Learn more about Pearson
Size
20,744 employees
Market Cap
$8.1 billion
Industry
Net Income
$265 million
Founded
1997
5 Year Trend
-5.5%
Revenue
$3.5 billion
NASDAQ

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