Combine experimental and computational approaches to analyze bacterial responses to antibiotics and host-like conditions.
Develop and apply statistical or machine-learning methods for interpreting single-cell and genomic datasets.
Work closely with wet-lab scientists to design perturbation experiments and screening strategies.
Help build scalable platforms for linking genotype, cell state, and drug response.
Contribute to manuscripts and grant proposals in high-impact journals.
Participate in mentoring and shaping the lab’s interdisciplinary culture.

Has a PhD in computational biology, microbiology, systems biology, engineering, physics, CS, or a related field.
Has strength in either experimental microbiology or data analysis, and strong interest in growing in the other direction.
Enjoys working in collaborative, fast-moving research environments.
Is motivated to develop new methods and biological insights in parallel.

Postdoctoral Research Associate – Hybrid Computational–Experimental Scientist, Bacterial Drug Response

Key skills