Senior Analytical Scientist
Pubblicato il 10-10-2026 - Chiesi in Modena
Overview
In this role you drive analytical development for gene editing and nucleic acid-based therapeutics within the GRD CMC team. You lead method development and control strategies for complex modalities, including ATMPs and LNP-based products, collaborating across functions from candidate selection to clinical development and launch. You oversee outsourced activities, ensure data quality, and contribute to regulatory documentation. This position offers impact in shaping analytics for cutting-edge therapies in a global, matrix environment.
Retribuzione / Benefits
- pension
- private medical insurance
- wellbeing programme
- flexible benefits programme
- remote work options
- relocation support
Responsabilità
- Define and lead bioanalytical and potency assay strategies for gene editing and nucleic acid therapeutics
- Act as SME for method development, validation, and control strategies for assigned projects
- Drive fit-for-purpose assay development from early to late-stage GMP
- Design and oversee cell-based potency assays and functional assays for gene editing efficiency
- Implement assay qualification/validation, stability-indicating and comparability assays
- Lead outsourced analytical activities including CRO/CDMO selection and governance
- Provide technical oversight of external partners and ensure robust follow-up of activities
- Manage analytical project budgets for CROs/CDMOs and consultants
- Write and review technical documentation (development protocols, reports, regulatory sections)
Requisiti fondamentali
- MSc in biotechnology, biology, biochemistry or related field
- 5–10 years in biotech/pharma with exposure to gene editing, CGT/ATMPs, nucleic acid-based products and LNPs
- Strong expertise in cell-based assays and potency method development for gene editing or mRNA–LNP products
- Advanced bioanalytical techniques (flow cytometry, reporter assays, gene editing readouts, binding and expression assays)
- Statistical tools for assay performance and r