Research Fellow: Machine Learning & Policy Evaluation

Stanfordlivetickets; Palo Alto (CA); On-site; USD 39,000 - 55,000; Full time

Job summary

Stanford RegLab is hiring full-time pre-doctoral Research Fellows in Palo Alto for a minimum one-year term. The role offers hands-on work at the intersection of machine learning, policy evaluation, and government analytics with potential renewal based on performance and funding.

The fellowship requires a quantitative Bachelor's (MS preferred); strong research, writing, and communication skills are essential. Proficiency in R and Python is expected, with ML experience a plus.

Qualifications

• Bachelor's degree in a quantitative field; MS preferred.
• Strong research, analytical writing, and communication skills.
• Proficiency in R and Python; experience with ML frameworks is a plus.

Responsibilities

• Plan and perform research tasks with initiative and judgment.
• Collect, manage, and structure quantitative datasets.
• Conduct statistical analyses and interpret results.
• Design and implement machine learning models and statistical methods.
• Participate in literature reviews and manuscript preparation.
• Present findings to supervisor and ensure compliance with protocols.
• May orient and train new staff or students.

Skills

Bachelor's degree

MS preferred

Quantitative reasoning

Programming: R

Programming: Python

Statistical analysis

Machine learning

Communication skills

Academic writing

Self-motivation

Education

Bachelor's degree

MS degree preferred

Tools

R

Python

Stata

SAS

TensorFlow

PyTorch

Scikit-learn

Job description

Stanford RegLab is hiring full-time pre-doctoral Research Fellows in Palo Alto for a minimum one-year term. The role offers hands-on work at the intersection of machine learning, policy evaluation, and government analytics with potential renewal based on performance and funding.

The fellowship requires a quantitative Bachelor's (MS preferred); strong research, writing, and communication skills are essential. Proficiency in R and Python is expected, with ML experience a plus.