Research Scientist (R37)

Ladders; United States; Remote; USD 140,000 - 270,000; Full time

Benefits offered by this job

Starting bonus 10%

Flexible PTO

Comprehensive health benefits

401(k) matching

Job summary

Ladders, a leader in healthcare AI, seeks a Research Scientist (R37) to advance applied research in explainable AI, reinforcement learning, and related ML methods for healthcare applications. You will prototype, experiment, and validate models on healthcare data, collaborating with ML Engineering and Product teams to translate research into measurable business outcomes.

The role emphasizes rapid prototyping, evaluation frameworks, and work in a regulated environment, with remote work options and

Qualifications

• PhD in CS/ML or related field required.
• 3+ years of industry research experience, including postdoctoral work.
• Publications in top AI/healthcare AI conferences.

Responsibilities

• Conduct applied research in explainable AI and reinforcement learning.
• Design, train, and evaluate ML models using healthcare data.
• Collaborate with ML Engineering and Product teams to implement research innovations.
• Build end-to-end research prototypes and experimentation frameworks.
• Develop validation methodologies that demonstrate business impact.

Skills

Explainable AI research

Reinforcement learning

Model evaluation

Education

PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

JAX

Ray

PyTorch Lightning

Job description

For our client, we are seeking a Research Scientist (R37) to join the team of a leader in the Healthcare space.

This role will focus on applied research in explainable AI, reinforcement learning, and related machine learning methods that can be brought into healthcare applications. You will build and evaluate models using healthcare data, partner closely with ML Engineering and Product teams, and help translate research advances into measurable business outcomes. The position also emphasizes prototyping, experimentation, and validation frameworks that support scalable, high-impact innovation in a regulated environment.

Location: Remote

Compensation: $140,000 – $270,000 annually

Responsibilities

• Conduct applied research in explainable AI and reinforcement learning.
• Design, train, and evaluate machine learning models using healthcare data.
• Collaborate with ML Engineering and Product teams to implement research innovations.
• Build end-to-end research prototypes and experimentation frameworks.
• Develop validation methodologies that demonstrate business impact.

Qualifications

• PhD in Computer Science, Machine Learning, or a related field.
• 3+ years of industry research experience, including postdoctoral work.
• Expertise in machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Research experience in interpretability, reinforcement learning, or retrieval-augmented generation.
• Experience with large-scale model training on distributed platforms such as Ray or PyTorch Lightning.
• Proven publication record in top-tier AI or healthcare AI conferences.

Benefits

• Top-of-market compensation with a starting bonus of 10%.
• Flexible PTO policy.
• Comprehensive health benefits package.
• 401(k) matching program.
• Work alongside inspiring, mission-driven colleagues.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.