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$41K

$134.3K

$215K

How much do learning scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for learning scientist in New York is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

What is a learning scientist?

A Learning Scientist studies how people learn and applies research to improve education, training, and instructional design. They combine insights from cognitive science, psychology, education, and technology to develop effective learning environments. Their work may involve designing digital learning tools, analyzing learner behavior, and conducting research to enhance teaching methods. Learning Scientists often collaborate with educators, designers, and policymakers to optimize learning experiences in schools, workplaces, and online platforms.

What types of projects does a learning scientist typically work on within an organization?

Learning Scientists often design and evaluate educational programs, develop new instructional methods, or study how people learn in various environments. Their projects may include collaborating with educators to create digital learning tools, running experiments to measure student engagement or comprehension, and analyzing large data sets to assess the effectiveness of teaching strategies. Many Learning Scientists work closely with curriculum developers, technologists, and policymakers to implement and scale evidence-based improvements. This role provides continuous opportunities to tackle complex, real-world learning challenges while making a measurable impact on educational outcomes.

What are the key skills and qualifications needed to thrive as a learning scientist?

To thrive as a Learning Scientist, you need a solid background in educational psychology, research methods, data analysis, and often a doctoral degree in a related field. Familiarity with learning management systems (LMS), statistical software (such as SPSS or R), and experience conducting experiments or large-scale educational studies is valuable. Strong communication, critical thinking, and collaborative skills help Learning Scientists effectively share insights and work across multidisciplinary teams. These skills are essential for designing evidence-based interventions, analyzing learning outcomes, and driving educational innovation.

What are popular job titles related to Learning Scientist jobs in New York?

For Learning Scientist jobs in New York, the most frequently searched job titles are:

What job categories do people searching Learning Scientist jobs in New York look for?

The top searched job categories for Learning Scientist jobs in New York are:

Learning Scientist jobs near you
Infographic showing various Learning Scientist job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

Machine Learning Scientist

Columbia University Irving Medical Center

Manhattan, NY • On-site

Full-time

Re-posted 15 days ago

Job description

Job Summary:
Columbia University Irving Medical Center is seeking a Machine Learning Scientist focused on deep learning models for biomolecular systems and drug discovery. The role involves developing neural network architectures, designing active learning experiments, and collaborating with team members and industry partners.
Responsibilities:
• Design and train state-of-the-art neural network architectures for biomolecular systems, including prediction of protein-ligand, protein-protein, and antibody-antigen structures and affinities, and protein conformational ensembles.
• Design active learning algorithms and experiments to steer large-scale data acquisition campaigns focused on improving biomolecular models.
• Devise experiments to understand scaling behavior of biomolecular models.
• Curate and prepare datasets, and develop dataset processing algorithms, for in-acquisition and proprietary datasets, including in federated training settings.
• Develop new ideas, write code, run experiments, analyze data, and prepare reports.
• Be an active member of one or more highly collaborative teams.
• Stay current with the ultrafast-paced nature of biomolecular machine learning.
• Maintain and enhance external visibility through publishing papers, writing open-source code, and engaging with the scientific community.
Qualifications:
Required:
• M.S. in computer science / machine learning, computational biology, or related quantitative fields plus five years of related experience, or equivalent combination of education/experience.
Preferred:
• Ph.D. in computer science / machine learning, computational biology, or related quantitative fields.
• Extensive machine learning experience, including design, training, and deployment of complex neural architectures.
• Extensive programming experience in Python.
• Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively in cross-functional teams.
Company:
Columbia University Irving Medical Center is a clinical and educational enterprise that offers medical, dental, and nursing services. It is a sub-organization of Columbia University. Founded in 1767, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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