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 optimization
- Design and implement sequence-based and structure-based predictive models for antibody properties, including affinity, immunogenicity, and developability
- Develop sequence and format engineering approaches supporting lead candidate optimization and hit selection, including multi-objective optimization strategies
- Support therapeutic projects through rigorous data analysis and solution-oriented scientific thinking
- Collaborate with cross-functional teams to integrate computational findings into therapeutic programs and platform development activities
- Establish and contribute to scientific collaborations with academic and industry partners
- Work 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 field
- Several years of experience in computational drug discovery or related research environments
- Experience with sequence- and structure-based protein engineering approaches
- Experience with advanced machine learning methods, including protein language models and structure prediction
- Strong Python programming skills and familiarity with version control systems
- Ability to communicate scientific findings clearly in a collaborative research environment
- Collaborative, rigorous, and scientifically curious working style
What Servier Symphogen offers
- An interdisciplinary and scientifically strong research environment
- Close integration between computational and experimental antibody research
- Collaboration with international research teams within Servier Symphogen and Servier Group
- Opportunities for scientific and professional development
- Flexible 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
Company
Symphogen is a subsidiary of Servier and antibody center of excellence primarily focused on oncology and immune oncology. We have a highly efficient antibody discovery and research platform supported by comprehensive early development capabilities.
Our antibody platform delivers antibodies with unique functionalities providing best or first in class potential as combination or mono therapy. Our approach and capabilities are well suited for combination therapies at the core of future cancer treatment.
Symphogen is located in Ballerup in the greater Copenhagen area. The company currently employs approximately 150 people