Research Associate, Computational Ion Channel Design, Synthetic and Structural Biology

Your position

• Own the computational and structural design cycle for ion channels and light-sensitive membrane proteins (concept - design hypotheses - in silico screening - selection of candidates for testing), in close interaction with experimental and translational collaborators.
• Define clear design objectives and success criteria and translate designs into practical construct and assay plans.
• Develop and apply learned-model‑assisted protein design workflows (structure prediction, inverse folding/sequence design, sequence scoring, and generative proposal methods) and integrate them with experimental feedback across iterative design cycles.
• Execute a targeted experimental validation workflow (limited hands‑on bench work): some routine mammalian cell culture, DNA cloning/construct handling as needed, transfection/transduction, and small‑scale expression testing in HEK/CHO (or equivalent).
• Coordinate and interpret functional readouts generated with the team (e.g., electrophysiology, imaging, biochemical assays), using results to iterate designs.
• Communicate progress and results clearly in internal updates, written documentation, and project meetings; contribute to conference presentations and manuscripts as appropriate.
• Maintain accurate records and effective day‑to‑day communication with your supervisor and collaborators.

• PhD (or equivalent experience) in computational biology, protein engineering, structural biology, biophysics, biochemistry, molecular/cell biology, or a closely related field.
• ≥3 years of post‑graduate (or equivalent) experience with at least two of the following:
• computational/structure‑based protein design (especially membrane proteins or ion channels),
• learned-model‑assisted protein design workflows (e.g., structure prediction, inverse folding/sequence design, protein language‑model‑based sequence scoring, and generative sequence/structure proposal tools),
• generative or library‑based design and screening strategies (incl. directed evolution),
• molecular biology for rapid design–build–test cycles (cloning, construct design, expression optimization),
• metagenomic mining/discovery pipelines and annotation,
• quantitative functional screening (microplate assays and/or electrophysiology/imaging readouts).
• Strong motivation to develop and refine methods, primarily in silico, with a light but competent experimental component.
• Highly organized and precise; comfortable managing multiple design iterations with rigorous documentation and version control.
• Solid programming and data‑analysis skills (e.g., Python) and experience working with structural biology and protein‑design software/tool chains (e.g., Rosetta; structure‑prediction workflows such as Alpha Fold‑derived or equivalent; inverse‑folding/sequence‑design and generative design tools; MD/analysis tool chains).
• Practical competence with mammalian cell culture and sterile technique; familiarity with BSL1/BSL2 environments.
• Evidence of impact in protein design (e.g., first‑author work, open‑source contributions, released methods, or demonstrated engineered‑function outcomes).