Massachusetts General Hospital
1 week ago
Postdoctoral Research Fellow / Software Engineer or PhD Opportunity in Multi-Scale Tumor-Immune Digital Twins and Clinical AI Mass General Brigham in United States
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Multiple positions are advertised, including Postdoctoral Research Fellow and Software Engineer roles. The post does not specify stipend, salary, tuition, or funding details.
Country
United States
University
Massachusetts General Hospital

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About this position
Mass General Brigham in Boston is advertising multiple openings in the Chamseddine Lab for work on multi-scale tumor-immune digital twins and clinical AI / treatment planning software.
The project combines patient-specific modeling with imaging, ctDNA, immune assays, mechanistic and learned transition models, and deployment as working clinical software. The research sits at the intersection of computational biology, biomedical engineering, applied mathematics, physics, computer science, and statistics.
Openings mentioned: Postdoctoral Research Fellow and Software Engineer. The post also notes a PhD-level background in a quantitative field, with preferred experience in probabilistic ML, Bayesian inference, latent-variable/state-space models, mechanistic modeling (ODE/agent-based/PDE), Python scientific stack, production software deployment, SaMD/IEC 62304/FDA, LLM/RAG reliability, and tumor-immune modeling.
Location is explicitly given as Boston, United States. No deadline, stipend, or tuition details are provided in the post.
To apply, email Dr. Ibrahim Chamseddine with the specified subject line and attach a CV, one-page cover letter, publication links, and two references.
Funding details
Multiple positions are advertised, including Postdoctoral Research Fellow and Software Engineer roles. The post does not specify stipend, salary, tuition, or funding details.
What's required
PhD in a quantitative field such as applied math, physics, computational biology, biomedical engineering, or computer science. Preferred experience includes probabilistic machine learning (state-space models, latent-variable models, Bayesian methods, uncertainty quantification), mechanistic modeling (ODEs, agent-based models, PDEs), Python scientific computing, production software deployment, SaMD/IEC 62304/FDA familiarity, LLM/RAG reliability, and tumor-immune modeling.
How to apply
Email Dr. Ibrahim Chamseddine with the subject line "Postdoc Application - Multi-Scale Tumor-Immune Digital Twins" or "Postdoc Application - Clinical AI and Treatment Planning Software." Include a CV, one-page cover letter, publication links, and two references.
More information can be found here
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