Remote Research Scientist: Explainable AI & RL for Healthcare

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

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