AI Research Engineer — Kidney Disease Data Platform

The Chronicle Of Higher Education, Inc.; Philadelphia (Philadelphia County); On-site; USD 61,000 - 73,581; Full time

Benefits offered by this job

Health, Life, and Flexible Spending Accounts

Tuition assistance

Generous retirement plans

Substantial time away from work

Wellness and Work-life Resources

Professional and Personal Development

Access to University resources

Discounts and Special Services

Flexible Work Hours

Adoption Assistance

Job summary

The Chronicle Of Higher Education, Inc. is hiring a Research Programmer to design and develop AI/ML models aimed at kidney disease research through the Nephrobase platform. This role involves building database infrastructure and collaborating with scientists to analyze large-scale multi-omic datasets and improve research outcomes.

The ideal candidate will have a Bachelor's degree and 2-3 years of relevant experience, with proficiency in Python and machine learning frameworks such as PyTorch and TensorFlow. The position offers an annual salary range of $61,000.00 - $73,581.00.

Qualifications

• Bachelor of Science and 2 to 3 years of experience required.
• Preferred fields: Computer Science, Data Science, Bioinformatics.
• Proficiency in Python and experience in machine learning.

Responsibilities

• Design and develop ML models for kidney disease research.
• Maintain database infrastructure for data ingestion.
• Collaborate with researchers in interdisciplinary environments.
• Document code and data workflows for reproducibility.

Skills

Machine learning

Deep learning

Data visualization

Python

SQL

Collaboration

Education

Bachelor of Science

Tools

PyTorch

TensorFlow

scikit-learn

Plotly

Dash

Tableau

Job description

The Chronicle Of Higher Education, Inc. is hiring a Research Programmer to design and develop AI/ML models aimed at kidney disease research through the Nephrobase platform. This role involves building database infrastructure and collaborating with scientists to analyze large-scale multi-omic datasets and improve research outcomes.

The ideal candidate will have a Bachelor's degree and 2-3 years of relevant experience, with proficiency in Python and machine learning frameworks such as PyTorch and TensorFlow. The position offers an annual salary range of $61,000.00 - $73,581.00.