Assistant Professor - Tenure Track, Department Of Medicine

Position Details

Job Title Assistant Professor, Tenure Track (Bioinformatics) Position Title Assistant Professor - Tenure Track, Department of Medicine Position Number Job Category University Faculty Job Type Full-Time FLSA Status Exempt Campus Maywood-Health Sciences Campus Location Code DEPARTMENT OF MEDICINE (06500A) Department Name DEPARTMENT OF MEDICINE Is this split and/or fully grant funded? No Duties and Responsibilities

The Department of Medicine of the Loyola University Chicago, Health Sciences Campus are seeking a full time Assistant professor. The successful candidate will collaborate closely with University researchers to develop novel interactions between computational and biological sciences by applying the tools of multi-omics high-throughput data generation, statistics, computational modeling, and artificial intelligence to the understanding of biological interaction networks with biomedical applications. The faculty member will be expected to maintain an active role in research and service.

Establish and maintain an independent, externally funded research program; contribute to teaching graduate and medical education; a strong record of research publications; collaborate with department faculty & faculty in other departments/institutes; applies for research grants on an ongoing basis; act as faculty advisor; attend/participate in committee meetings and educational meetings as assigned.

Qualifications

Possession of a terminal degree in Bioinformatics or analogous field with at least ten years of experience in computational biology, predictive modeling of biological systems, and transcriptomics and integrative multi-omics analysis.

Preferred Qualifications

A demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred. Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus.

Physical Demands Lifting, Carrying, Standing, Repetitive Motions Working Conditions None Minimum Education and/or Work Experience

Required

Possession of a terminal degree in Bioinformatics or analogous field with at least ten years of experience in computational biology, predictive modeling of biological systems, and transcriptomics and integrative multi-omics analysis.

Preferred

A demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred. Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus.

Open Date 06/04/2024 Close Date Special Instructions to Applicants

Candidates should submit the following documents in a single PDF:

• Cover Letter

• Curriculum Vitae

• Research Statement describing the applicant's current research, futur research plans and funding history.

• Statement describing commitment to diversity, equity and inclusion.

• Contact information for three professional references.

Diversity and Inclusion Statement

Diversity, Equity, and Inclusion

As one of the nation's largest Jesuit, Catholic universities, Loyola University Chicago fosters a transformative cultural experience that honors diversity, equity, and inclusion. We are committed to not only recruiting, but also retaining a diverse, mission driven workforce and enabling a culture of inclusiveness in an environment that values service excellence, stewardship, personal well-being, and professional development for all of our employees. Loyola University Chicago supports its staff and faculty with a wide array of affordable, comprehensive and competitive benefits centered on health and wellness, financial security, equity, and work-life balance. We actively seek those who wish to join our faculty, staff, and students in a community of diverse opinions, perspectives, and backgrounds supporting our Jesuit mission and striving toward the same goal of being persons for and with others.