ABOUT US

At RS & RS Scientific we are building precision delivery solutions to concentrate therapeutics at lung-tumor sites while minimizing off-target exposure.
Position 1 — AI for Precision Lung-Tumor Delivery
Build a method-agnostic, data-driven decision engine for precision delivery in lung cancer. You’ll integrate multi-source evidence (omics, imaging, physico-chemical descriptors, prior art) to rank delivery strategies, forecast on- vs off-target exposure, and provide clear, testable recommendations that de-risk translation.
Ideal profile: PhD in AI/ML, computational biology, bioinformatics, biomedical data science, or related field (by the funder deadline); ≤8 years research experience (MSCA rule). Strong Python/R, multi-modal modelling, and scientific writing.
Position 2 — Experimental Precision Lung-Tumor Delivery
Design and validate non-viral, translatable precision-to-lung-tumor systems with rigorous in-vitro evaluation and specifications ready for the next stage. Emphasis on formulation/surface engineering, fit-for-purpose co-cultures & shear-aware assays, and a concise translation dossier (SOPs, stability, CQAs).
Ideal profile: PhD in pharmaceutics, drug delivery, bioengineering, molecular biology, materials
science or related field (by the funder deadline); ≤8 years research experience (MSCA rule). Hands-on formulation + cell assays; SOP writing; comfortable using core/CRO analytics.

Please refer the Job description for details