MSCA Postdoctoral Fellowships (2 Positions): AI & Experimental — Precision Delivery to Lung Tumors

RS&RS Scientific LTD; Stone Cross; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading scientific research company in the UK is seeking a candidate for an AI for Precision Lung-Tumor Delivery position. The role involves building a data-driven decision engine to optimize lung cancer treatment strategies. Ideal candidates should have a PhD in AI/ML or related fields and possess strong Python and scientific writing skills. This position offers a unique opportunity to contribute to innovative therapeutic solutions.

Qualifications

• PhD required by 10 September 2025.
• Research experience ≤8 years.
• Hands-on formulation and SOP writing.

Responsibilities

• Build a method-agnostic, data-driven decision engine for precision delivery.
• Integrate multi-source evidence to rank delivery strategies.
• Design and validate non-viral, translatable precision-to-lung-tumor systems.

Skills

Python

R

Multi-modal modelling

Scientific writing

Formulation

Cell assays

Education

PhD in AI/ML, computational biology, bioinformatics, biomedical data science

PhD in pharmaceutics, drug delivery, bioengineering, molecular biology, materials science

Job description

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 A — 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 B — 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.

MSCA essentials

• Internal EOI deadline: 1 September 2025.
• Funder deadline: 10 September 2025, 17:00 (Brussels time).
• PhD requirement: You must hold a PhD or have successfully defended your thesis by 10 September 2025 (formal award can follow).
• Mobility rule: Not resident/working in the UK >12 months in the 36 months before the call deadline.
• We will co-develop the full proposal and provide strong industry supervision.

How to apply for EOI stage

Email (i) CV, (ii) 1-page concept note (your vision for experimental precision lung-tumor delivery), (iii) brief MSCA-eligibility statement, (iv) two referees to [e-mail]

Email subject:

• “MSCA PF EOI — Position A (AI, Lung Tumor Delivery)” or
• “MSCA PF EOI — Position B (Experimental, Lung Tumor Delivery)”

Shortlisted candidates will join an NDA-covered scoping call.