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Postdoctoral Researcher – Nanopore Proteomics and AI-Driven Single-Molecule Sensing Research & Development

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: imec USA
Full Time position
Listed on 2026-09-13
Job specializations:
  • Research/Development
    Research Scientist, Postdoctoral Research Fellow, Biomedical Science, Data Scientist
Salary/Wage Range or Industry Benchmark: 76500 - 103500 USD Yearly USD 76500.00 103500.00 YEAR
Job Description & How to Apply Below

Postdoctoral Researcher – Nanopore Proteomics and AI-Driven Single-Molecule Sensing Research & Development – Cambridge, Massachusetts, USA

Join imec’s multidisciplinary research team in Cambridge and contribute to a pioneering program at the intersection of nanopore sensing, protein analysis, polymer-enabled bioengineering, and machine learning.

About the role

imec is seeking a highly motivated Postdoctoral Researcher – Nanopore Proteomics and AI-Driven Single-Molecule Sensing to contribute to the development of a fundamentally new approach for single-molecule protein characterization.

Proteins are central to biological function and disease, yet existing protein analysis technologies remain limited by complexity, cost, throughput, or laboratory infrastructure requirements. In this project, you will help establish a new paradigm for scalable single-molecule proteomics using CMOS-compatible solid-state nanopores combined with programmable molecular engineering strategies and machine learning-enabled signal analysis.

Working closely with international collaborators, including leading researchers in polymer chemistry, semiconductor technologies, and life sciences, you will investigate how engineered polymer-protein constructs can influence nanopore transport dynamics and generate rich electrical signatures suitable for protein discrimination and classification.

This is a one-year postdoctoral appointment based in Cambridge, Massachusetts and offers the opportunity to contribute to a high-impact, multidisciplinary research program with the potential to advance future diagnostic and biosensing technologies.

What you will do

As a Postdoctoral Researcher, you will conduct experimental and computational research focused on nanopore-based protein sensing and single-molecule analysis.

Your responsibilities will include:

  • Design and execute nanopore experiments using CMOS-compatible solid-state nanopore platforms.
  • Characterize protein and polymer-protein translocation dynamics through nanopores under varying electrical and biochemical conditions.
  • Develop experimental protocols for nanopore-based protein fingerprinting, trapping, and characterization.
  • Generate and analyze large-scale single-molecule datasets acquired from high-bandwidth nanopore systems.
  • Extract and characterize translocation signal features including dwell times, current blockades, event morphology, and voltage-dependent behavior.
  • Develop, implement, and validate machine learning workflows for protein classification and signal interpretation.
  • Investigate relationships between molecular structure, nanopore transport behavior, and measured electrical signals.
  • Collaborate closely with polymer chemists, semiconductor specialists, device engineers, and life-science researchers.
  • Contribute to the development of multiplexed protein sensing assays and next-generation nanopore platforms.
  • Apply quantitative and physical modeling approaches to interpret experimental results.
  • Present research findings at international conferences and contribute to publications in leading scientific journals.
  • Support proposal development and contribute to strategic research activities within imec’s life sciences and healthcare programs.
Who you are
  • You hold a PhD in Physics, Bioengineering, Electrical Engineering, Nanotechnology, Biophysics, Biomedical Engineering, Computational Biology, Chemistry, or a related discipline
    .
  • You have hands-on experience with nanopore sensing, biosensors, single-molecule analysis, microfluidics, electrophysiology
    , or related experimental techniques.
  • You have experience analyzing complex experimental datasets using Python, MATLAB
    , or comparable scientific programming environments.
  • You have strong quantitative skills and are comfortable connecting…
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