Postdoctoral Fellow in Computational Biology

Postdoctoral Fellow in Computational Biology

The Pedra Laboratory at the University of Maryland School of Medicine is recruiting a postdoctoral fellow or a Research Associate with expertise in computational biology to study molecular interactions between the deer tick Ixodes scapularis, human pathogens (e.g., Borrelia burgdorferi and Anaplasma phagocytophilum) and the mammalian host. The Pedra Laboratory integrates the disciplines of microbiology, immunology and entomology to examine tick-borne diseases. We employ tools available in biochemistry, genetics, molecular biology, structural and systems biology to understand fundamental interactions between the arthropod vector, the pathogen and the mammalian host.

The applicant will improve/optimize the annotation of the Ixodes scapularis genome and enable the analysis of multi-omic datasets. The trainee will also analyze large mammalian datasets with the intent to study human disease. PhD in bioinformatics/computer science or life sciences with a strong bioinformatics component is required. Research areas can be as diverse as RNA-Seq, scRNA-Seq, metabolomics, proteomics, ChIP-Seq, cheminformatics and structural informatics. We expect that the successful candidate will complement and synergize with the current research projects available in the laboratory. Creative trainees will be encouraged to establish their own independent research program. No prior experience in vector-borne diseases is necessary.

The Baltimore-Washington Metropolitan area is well-placed geographically, famous for its rich history, elegant cities and beautiful natural scenery. The Metro Region is an especially attractive workplace for young professionals, due to its moderate cost of living, nice blend between urban/suburban life, and a booming life science/technology industry.

To apply: Please submit a CV (3 pages or less), a letter summarizing research interests, experience and goals (1 page or less), and the names and phone numbers/e-mail of three references to: Dr. Joe Pedra, Ph.D., Associate Professor, E-mail: jpedra@som.umaryland.edu (pedralab.com)

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