Assistant Research Professor, AI Genomics & Imaging

Indiana University; Indiana; On-site; USD 85,000 - 120,000; Full time

Job summary

Indiana University School of Medicine invites applications for an Assistant Research Professor (Scientist Track) in Medical & Molecular Genetics, Indianapolis. The role focuses on AI, machine learning, and computational genomics, integrating multi-omics, real-world data, and biomedical imaging to study gene regulation and disease mechanisms.

The successful candidate will publish, secure funding, and collaborate across IUSM and international partners in a collegial, interdisciplinary setting.

Qualifications

• PhD or equivalent doctoral degree in bioinformatics, computational biology, computer science, biomedical informatics, genomics, genetics, biomedical engineering, or a related discipline.
• Postdoctoral training and demonstrated expertise in AI/machine learning and computational analysis of genomic or other biomedical data.
• Experience in deep learning, multimodal data integration, real-world data analytics, biomedical image analysis, or the development of novel computational methods.
• Strong scholarly productivity and ability to develop innovative AI approaches integrating diverse data sources.

Responsibilities

• Develop an innovative research program focused on AI, ML, and computational genomics with integration of multi-omics and real-world data.
• Establish a productive research program and contribute to securing extramural funding.
• Publish in peer‑reviewed journals and collaborate with investigators across IUSM and national/international partners.
• Contribute to teaching, mentoring, and service within a highly collaborative academic environment.

Skills

AI/ML

Computational genomics

Biomedical data analysis

Multimodal integration

Scholarly productivity

Education

PhD or equivalent

Job description

Indiana University School of Medicine invites applications for an Assistant Research Professor (Scientist Track) in Medical & Molecular Genetics, Indianapolis. The role focuses on AI, machine learning, and computational genomics, integrating multi-omics, real-world data, and biomedical imaging to study gene regulation and disease mechanisms.

The successful candidate will publish, secure funding, and collaborate across IUSM and international partners in a collegial, interdisciplinary setting.