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Search for University Jobs in Medicine

Job ID: 254826

Postdoctoral Position in Cancer Computational Modeling
Johns Hopkins University


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Date Posted Mar. 24, 2025
Title Postdoctoral Position in Cancer Computational Modeling
University Johns Hopkins University
Baltimore, MD, United States
Department Biomedical Engineering and Oncology
Application Deadline Open until filled
Position Start Date Available immediately
Download PDFRefer a Friend of ColleagueView Similar University JobsView University Jobs in Maryland  MARYLAND
 
 
  • https://popellab.johnshopkins.edu/postit...
  • Post-Doc
  • Vascular Biology
    Physiology & Biophysics
    Pharmacology & Toxicology
    Oncology & Hematology
    Immunology & Infectious Diseases
    Biomedical Engineering/Biomedical Sciences
    Biochemistry & Cellular Biology
 
 

Seeking a motivated Postdoctoral Researcher in Dr. Popel's laboratory in the Departments of Biomedical Engineering and Oncology, The Johns Hopkins School of Medicine. The successful candidate will join a team that combines computational, experimental and clinical researchers using computational systems biology and quantitative systems pharmacology (QSP) to discover mechanisms of immunotherapies and conduct virtual clinical trials. Also strong interactions with pharmaceutical companies. Specific skills include strong computational modeling from signaling pathways to tumor scales; knowledge of immunology and machine learning is a plus. Strong computer programming skills.

Applicant must have a doctoral degree in biomedical engineering, chemical engineering, applied mathematics, computer science, pharmaceutical science or equivalent with a demonstrated record of innovative scientific accomplishments as evidenced by first-author papers published or accepted in premier journals. Qualified candidates must be able to work independently, demonstrate outstanding communication skills, have a strong commitment to science, and work well within a group.

Examples of recent publications: Zhang S, et al. Integration of Clinical Trial Spatial Multiomics Analysis and Virtual Clinical Trials Enables Immunotherapy Response Prediction and Biomarker Discovery. Cancer Res. 2024 84(16):2734-2748. doi: 10.1158/0008-5472.CAN-24-0943; Arulraj T, et al. Virtual patient analysis identifies strategies to improve the performance of predictive biomarkers for PD-1 blockade. Proc Natl Acad Sci U S A. 2024;121(45):e2410911121. doi: 10.1073/pnas.2410911121


  • Johns Hopkins University is an Equal Opportunity Employer. All individuals are encouraged to apply.

     


 
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Contact Information

 
  • Dr. Aleksander S. Popel
    Biomedical Engineering and Oncology
    Johns Hopkins University
    Baltimore, MD 21205
  •  
  • apopel@jhu.edu

 

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