CADD/AIDD medicinal chemist in Bern

Company Description Space Peptides Pharmaceutical Co., Ltd. is a Swiss–Chinese company headquartered in Bern, Switzerland, specializing in end-to-end pharmaceutical peptide CRDMO services. The company supports clients from discovery through clinical development to commercial supply, with a broad portfolio of generic peptide APIs. Space Peptides focuses on fast, reliable, and high-quality project execution, helping partners navigate complex technical and regulatory challenges. With immediately available commercial manufacturing capacity, advanced technologies, and strict cGMP compliance, the organization delivers peptide solutions with premium speed and quality. The team is committed to close collaboration with clients to move projects forward efficiently and effectively. Role Description This is a full-time, on-site CADD/AIDD Medicinal Chemist role based in Bern. The individual in this role will design and optimize peptide and small-molecule drug candidates using computer-aided drug design (CADD) and AI-assisted drug design (AIDD) tools. Day-to-day activities include building and analyzing molecular models, conducting virtual screening and structure–activity relationship (SAR) studies, and proposing medicinal chemistry hypotheses to improve potency, selectivity, and developability. The role collaborates closely with synthetic chemists, computational scientists, and project managers to integrate in silico insights with experimental data and guide compound selection. The CADD/AIDD Medicinal Chemist will prepare clear reports, contribute to project documentation, and participate in internal and external meetings to communicate data-driven recommendations. Qualifications Strong expertise in computer-aided drug design, including molecular modeling, docking, and pharmacophore modeling, with experience applying AI/ML methods in drug discovery. Solid foundation in medicinal chemistry, including SAR analysis, physicochemical property optimization, and peptide or small-molecule design. Hands‑on experience with relevant software platforms (e.g., Schrödinger, MOE, OpenEye, or comparable tools) and scripting or programming skills (e.g., Python, R) for data analysis and workflow automation. Ability to interpret in vitro and in vivo data, integrate experimental results into design cycles, and collaborate effectively with synthetic chemistry and biology teams. Advanced degree (PhD or MSc) in Medicinal Chemistry, Computational Chemistry, Pharmaceutical Sciences, or a related field; peptide drug development experience is highly advantageous. Strong communication skills in English, with the ability to prepare concise reports and presentations; knowledge of German or Chinese is a plus. #J-18808-Ljbffr