Junior faculty position: Computational Biologist or Computational Immunologist
Henry Ford Health + Michigan State University Health Sciences
Detroit, Michigan, USA
Henry Ford Health (HFH) in Detroit, Michigan, stands at the forefront of comprehensive healthcare systems, offering acute, specialty, primary, and preventative care services. Our commitment to excellence in research and education is unwavering.
The Center for Cutaneous Biology and Immunology (CCBI) is dedicated to unraveling the intricacies of skin biology and immunology in various diseases, including cancer and autoimmune/inflammatory diseases. Situated within Henry Ford Health in Detroit, CCBI strives to cultivate innovative, collaborative, diverse, and inclusive laboratory environments, in partnership with Michigan State University (MSU).
Within our vibrant community, immunologists, molecular biologists, biochemists, and computational biologists work synergistically to advance the fight against diseases through basic and translational research, with the ultimate goals of enhancing clinical care.
Job Description:
We are seeking an enthusiastic PhD-level computational biologist or computational immunologist with expertise in statistical genetics and genomics who is passionate about advancing research in these fields. The ideal applicant will be offered a junior faculty position.
The successful applicant will utilize well-established, state-of-the-art, and novel methods for the generation and analysis of diverse types of genetics and multi-omics data, including GWAS, whole-genome and exome sequencing, DNA methylation, bulk and single-cell transcriptomics, spatial transcriptomics, proteomics, eQTL/pQTL analysis, bulk-seq and scRAN-Seq/ATAC-seq, mass cytometry or CyTOF, and imaging mass cytometry (IMC). They will drive their own projects, apply for internal and external funding opportunities, and support the research of other members of the group. Additionally, they will design, code, test, and document programs or pipelines to perform various data analysis tasks.
Required Qualifications:
- A PhD degree in a relevant field such as biostatistics, bioinformatics, computational biology, computational immunology, or a related field.
- Demonstrated ability to analyze genetics (GWAS, whole-genome sequencing, and exome sequencing), multi-omics data, or spatial transcriptome.
- Proficiency in standard coding-based analytical platforms such as Python, R, etc.
- Experience with Unix/Linux environment and shell scripting, including Bash, awk, and sed.
- Familiarity with software packages for genetics and “omics” data analyses.
- Familiarity with NGS (DNA-seq, RNA-seq, ChIP-seq, scRNA-seq/ATAC-Seqetc.) data analysis tools.
- Experience with imaging data analysis packages such as scikit-image in Python.
- Experience with human subjects, healthcare, epidemiology, or biomedical research.
- Excellent interpersonal, communication, organizational, and customer-service skills with the ability to interact effectively with colleagues with different levels of technical and scientific knowledge.
How to Apply:
Please submit your resume, a statement of research interests, and contact information for at least three references to CCBI Director: Dr. Qing-Sheng Mi, MD, PhD (qmi1@hfhs.org).
Posting ID: 471