Senior Scientist – In Silico Antibody Characterization and Optimization (m/f/d)

image]**Servier Symphogen is inspired by nature, led by science, and driven by people.**Servier Symphogen is the Antibody Center of Excellence within the Servier Group. We combine computational methods, antibody engineering, and experimental workflows to support the discovery and development of differentiated therapeutic antibodies.We are looking for a Senior Scientist to join the Computational Antibody Design team within the Antibody Technology department.This position focuses on predictive modelling, developability assessment, and sequence engineering approaches supporting lead optimization and candidate selection, including multi-specific antibodies and complex antibody formats. You will contribute to the in-silico characterization and optimization of therapeutic antibody candidates. ** Key responsibilities**Conduct innovative research in antibody discovery with a focus on in silico characterization and optimizationDesign and implement sequence-based and structure-based predictive models for antibody properties, including affinity, immunogenicity, and developabilityDevelop sequence and format engineering approaches supporting lead candidate optimization and hit selection, including multi-objective optimization strategiesSupport therapeutic projects through rigorous data analysis and solution-oriented scientific thinkingCollaborate with cross-functional teams to integrate computational findings into therapeutic programs and platform development activitiesEstablish and contribute to scientific collaborations with academic and industry partnersWork closely with experimental scientists, technicians, bioinformaticians, data scientists, and ML engineers across research programs**Required Qualifications**Ph.D. in Bioinformatics, Computational Biology, Biophysics, Computational Chemistry, Data Science, Computer Science, or a related fieldSeveral years of experience in computational drug discovery or related research environmentsExperience with sequence- and structure-based protein engineering approachesExperience with advanced machine learning methods, including protein language models and structure predictionStrong Python programming skills and familiarity with version control systemsAbility to communicate scientific findings clearly in a collaborative research environmentCollaborative, rigorous, and scientifically curious working style** ****What Servier Symphogen offers**An interdisciplinary and scientifically strong research environmentClose integration between computational and experimental antibody researchCollaboration with international research teams within Servier Symphogen and Servier GroupOpportunities for scientific and professional developmentFlexible working conditions and competitive compensation**Application**The recruitment is outsourced to external Recruiter Aims International Denmark.**To apply for this job, email your details to **Ferhan Cetinkaya – [f.cetinkaya@aims-germany.com | aimsinternational.com quoting project number “DK-0024p”.AIMS International-Denmark ApS World Trade Center Ballerup 2750 Ballerup#ComputationalBiology #AntibodyEngineering #MachineLearning #DrugDiscovery #BiotechJobs