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Search for University Jobs in Health Sciences

Job ID: 258655

Postdoctoral position in Cancer Computational Modeling at Johns Hopkins University
Johns Hopkins University


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Date Posted Jun. 24, 2025
Title Postdoctoral position in Cancer Computational Modeling at Johns Hopkins University
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
 
  • Online / Remote Position
 
  • Post-Doc
  • Pharmaceutical Sciences
 
 

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. 

Email CV and names of three references to: Dr. A.S. Popel, Dept. of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD 21205. E-mail apopel@jhu.edu


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


 
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Contact Information

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

 

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