Postdoctoral Researcher: Causal Inference & ML for Health Data

Rutgers University; Piscataway Township (NJ); Hybrid; USD 58,000 - 70,000; Full time

Benefits offered by this job

Medical coverage

Paid vacation and holidays

Competitive retirement benefits

Educational benefits for employees and

Life insurance coverage

Employee discounts

Job summary

The Department of Statistics at Rutgers University invites applications for a full-time post-doctoral position with a flexible start date.

The successful candidate will work on causal inference and statistical learning with high-dimensional observational data, including development of methods and applications in comparative effectiveness research in collaboration with the Rutgers Institute for Health, Health Care Policy and Aging Research.

Qualifications

• PhD in statistics, computer science, or a related field.
• Expertise in causal inference and machine learning.
• Strong programming experience and communication skills.
• Excellent writing and communication abilities.

Responsibilities

• Perform causal inference and ML research on high‑dimensional observational data.
• Develop statistical methods and computational tools.
• Collaborate with Rutgers Institute for Health, Health Care Policy and Aging Research.

Skills

Causal inference

Machine learning

Reinforcement learning

Programming

Education

Doctoral degree in statistics/computer science

Job description

The Department of Statistics at Rutgers University invites applications for a full-time post-doctoral position with a flexible start date.

The successful candidate will work on causal inference and statistical learning with high-dimensional observational data, including development of methods and applications in comparative effectiveness research in collaboration with the Rutgers Institute for Health, Health Care Policy and Aging Research.