Principal Scientist siRNA Design

Lead the drug design strategy of oligonucleotides with a strong focus on siRNAs, leveraging computational and empirical approaches, for both initial Proof of Concept on novel targets and full-scale lead optimization for clinical development. Guide projects holistically ensuring early design decisions align with late-stage clinical and manufacturing requirements. Utilize and invent new advanced chemical modification patterns and sequence selection strategies to optimize relevant pharmacological properties of siRNAs. Work in close partnership with our AI Experts to develop, validate, and apply the suit of AI design solutions. Act as the RNAi subject matter expert in collaboration with project teams and disease experts.

In Roche’s Pharmaceutical Research and Early Development organization (pRED), we make transformative medicines for patients in order to tackle some of the world’s toughest unmet healthcare needs. At pRED, we are united by our mission to transform science into medicines. Together, we create a culture defined by curiosity, responsibility, and humility, where our talented people are empowered and inspired to bring forward extraordinary life-changing innovation at speed. Therapeutic Modalities (TMo) organization, accountable for translating disease biology into high-quality drug candidates across small molecules, large molecules, oligonucleotides, and genomic medicines. By integrating deep modality expertise with cross-disciplinary collaboration, TMo drives innovation within and across platforms to enable differentiated, sustainable therapeutic impact.

• Ph.D. in Molecular Biology, Bioinformatics, Biochemistry, or a related field with 5+ years of industry experience specifically in siRNA/RNAi therapeutic design.

• Deep understanding of the RNAi mechanism and profiling of siRNA therapeutics.

• Proven track record in applying chemical modification patterns of siRNA to enhance therapeutic profile.

• Familiarity with the interface of biology and data science; comfortable discussing parameters and data features with AI engineers; hands-on experience with command-line utilities and scripting languages for biological sequence analysis and data management.

• The "Team Player" Mindset: Ability to communicate complex nucleic acid chemistry to non-experts and integrate feedback from diverse stakeholders.

• Strategic Thinking: Ability to balance aggressive development timelines with meticulous attention to detail.

• Excellent communication skills, capable of translating complex scientific concepts into clear, actionable insights for diverse audiences.