Assistant or Associate Professor, tenure-track

Rosalind Franklin University Chicago Medical School
Department of Microbiology and Immunology
United States Illinois North Chicago
www.rosalindfranklin.edu/research/researchers/

Description

The Center for Cancer Cell Biology, Immunology and Infection of the Chicago Medical School, Rosalind Franklin University of Medicine & Science, invites applications for a full-time, tenure-track Assistant or Associate Professor position. We are seeking a candidate who conducts active research in the area of computational biology and bioinformatics in the area of microbiology, immunology, cancer, neuroscience, genetic diseases, psychiatric disorders, cardiovascular diseases, or proteomics. Ample opportunity exists for collaboration with the scientists at the Center and other eight research centers and institutes on campus (www.rosalindfranklin.edu/research/researchers/).

Rosalind Franklin University of Medicine and Science is a graduate-level health sciences university situated on an 85-acre campus in North Chicago, near Lake Michigan. As one of six medical schools in the Chicagoland area, there are ample opportunities for collaboration with other scientists in the region.

The Medical School has recently reorganized its researchers into six Centers, which occupy a new 100,000 sq. ft. building aka Innovation and Research Park since September 2019. The research strengths at the Medical School include T cell immunology, HIV infection of the central nervous system, substance abuse disorders, neuroscience, inherited rare diseases, structural biology, and regenerative medicine. The Medical School has just initiated a new hiring phase, anticipated to include up to 10 tenure track positions over the next five years. This position will be academically affiliated with the Discipline of Microbiology and Immunology located on the second floor of the Basic Science Building. As a Medical School faculty member, the position will involve teaching and service activities, in addition to research.

Inquiries regarding this opportunity should be directed to Dr. Johnny He (johnny.he@rosalindfranklin.edu), Professor, Chair and Director, or Dr. Michelle Hastings (michelle.hastings@rosalindfranklin.edu), Professor and Director. Applicants must have a terminal degree (e.g., PhD or ScD) in a relevant field, and at least three-year relevant experience applying computational approaches to multi-dimensional multi-omics datasets (transcriptomics, genomics, and proteomics) to derive insights and hypotheses about biological and disease pathways and processes. To apply for this position, visit the Apply link below and submit a cover letter, a CV, a statement of past research accomplishments (1 page) and future research goals (1 page), and contact information for three references.

Rosalind Franklin University of Medicine and Science is an Equal Opportunity/Affirmative Action employer and is dedicated to creating and fostering a diverse academic environment. We encourage and applications from individuals belonging to groups underrepresented in their respective fields, and others who would enrich and add unique perspectives to the University.


Qualifications

• Terminal degree (e.g., Ph.D. or Sc. D.) in bioinformatics, biostatistics, biological sciences, computational sciences, applied mathematics, or related fields required.
• A minimum of 3 years relevant experience applying computational approaches to multi-dimensional multi-omics datasets (transcriptomics, genomics, and proteomics) to derive insights and hypotheses about biological and disease pathways and processes.
• Demonstrated experience with existing bioinformatics-specific software tools, pipelines and genomics research, machine learning, and visualization, particularly with data mining of genome-wide, single-cell, single-nucleus, and spatial sequencing data analyses.


Start date

As soon as possible

How to Apply

workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=395a4546-652f-4dd9-832f-b02e894ced6e&ccId=19000101_000001&jobId=440220&source=CC2&lang=en_US