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Systems Biology and Biomedical Engineering● OpenResearch staffPreview

Assistant Scientist - AI-Enabled Immune Digital Twin & Organ Damage Mechanistic Model

Develop mechanistic and AI-enabled digital twin models for critical illness and organ damage at Indiana University Bloomington.

Best for:Best for computational scientists with experience in mechanistic modeling, dynamical systems, and Python or MATLAB programming.

Indiana University Bloomington · Bloomington, United States · R2 · Recognised researcher
More professors at Indiana University Bloomington
Digital TwinsMechanistic ModelingImmunologyCritical CareSystems Biology
This is a research staff position — not a PhD studentship.Non-tenure
Deadline
—
Funding
Salaried
$100k/yr
Start date
flexible
Full-time
Location
Bloomington
United States

Overview

The Biocomplexity Institute at Indiana University Bloomington invites applications for an Assistant Scientist position focusing on AI-enabled immune digital twins and organ damage mechanistic models under the direction of Dr. James A. Glazier. The successful candidate will build interpretable model components that connect immune-state dynamics with organ-damage risks in vital organs such as the lungs, kidneys, and liver during critical illnesses. Responsibilities include mapping clinical time-series and biomarkers to model states, establishing scoring criteria, collaborating with multi-institutional consortium partners, and authoring technical publications. This non-tenure-track appointment offers an annual salary of $100,000 and requires expertise in computational modeling and quantitative biomedical sciences.

Assistant ScientistDigital TwinMechanistic ModelImmune DynamicsBiocomplexityIntelligent Systems EngineeringDynamical Systems

What you'll do

  • Design and implement fast, interpretable ODE, network, and mechanistic model modules linking immune dysfunction to organ injury
  • Map clinical time-series datasets and biomarkers to corresponding model states
  • Establish biological plausibility and scoring criteria for digital twin ensembles
  • Prepare comprehensive test cases, model packages, and model cards for consortium review
  • Draft technical research papers and present scientific findings to national consortium partners and stakeholders
  • Contribute to milestone-ready contract deliverables in collaboration with systems biology and clinical data science groups

Requirements

Degree required: PhD or equivalent terminal degree in a quantitative, computational, or biomedical discipline

Language: English; professional proficiency required for technical writing and presentations

Instruction: English

Publications: Record of technical publications commensurate with experience

Required skills
  • Programming proficiency in Python, Julia, R, or MATLAB
  • Demonstrated background in mechanistic modeling including ODEs, dynamical systems, quantitative systems pharmacology, or agent-based modeling
  • Familiarity with inflammation, cytokine signaling, sepsis, or critical care biology
  • Minimum of one year of successful postdoctoral research experience
Nice to have
Experience working within national research consortia or multidisciplinary teamsTrack record of writing and publishing technical papers in peer-reviewed journalsExperience translating clinical biomarkers into computational model parameters
Eligibility
  • Must hold a PhD or equivalent terminal degree prior to appointment
  • Must have completed at least one year of postdoctoral research experience

Funding & terms

Type
Salaried
Amount
$100k/yr
Duration
—
Programme
Indiana University Bloomington
Indiana University Bloomington

How to apply

Deadline: 2026-11-02

Interested applicants should submit their application materials through the designated external application portal link provided in the posting. For any informal inquiries regarding the position, candidates may contact Professor James Glazier directly via email.

Documents required
  • CV
  • Cover letter
↗Apply via form

Contact

James Glazier· Professor / Principal Investigator

glazier@iu.edu

JG
Prof.
James Glazier
Intelligent Systems Engineering
Lab
Biocomplexity Institute
Indiana University Bloomington
United States
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