
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 Scientist to join the Computational Antibody Design team within the Antibody Technology department.
This position focuses on antibody repertoire analysis and bioinformatics workflows supporting therapeutic antibody discovery and candidate selection, including bispecific antibodies and antibody-drug conjugates.
Key responsibilities
- Conduct innovative research in antibody discovery with a focus on repertoire analysis and bioinformatics
- Design and perform advanced antibody repertoire analyses supporting discovery and hit selection of therapeutic antibody candidates from in vivo and in vitro workflows
- Act as the main bioinformatics researcher within therapeutic research projects, planning and performing antibody property prediction and data analysis
- Develop and maintain antibody bioinformatics pipelines supporting experimental workflows, new antibody modalities, and emerging research methods
- Collaborate with cross-functional teams to integrate computational findings into broader research initiatives, therapeutic programs, and platform development activities
- Work closely with experimental scientists, technicians, bioinformaticians, data scientists, and ML engineers across research programs
- Contribute to the implementation of new computational methods and bioinformatics workflows
Required Qualifications
- Ph.D. in Bioinformatics, Computational Biology, Data Science, Computational Chemistry, Computer Science, or a related field
- Experience with immune repertoire analysis, ideally antibody repertoires
- Experience developing, maintaining, and running bioinformatics pipelines
- Strong Python programming skills and familiarity with version control systems
- Experience with machine learning methods is considered advantageous
- Ability to communicate scientific findings clearly in a collaborative and multidisciplinary research environment
- Familiarity with protein structure prediction and analysis, oncology, inflammatory diseases, or drug discovery is advantageous
- Collaborative, rigorous, and scientifically curious working style
What Servier Symphogen offers
- An integrated computational and experimental antibody research environment
- Close collaboration across scientific disciplines and international research teams within Symphogen and Servier
- Opportunities to contribute directly to therapeutic antibody discovery and platform development
- Professional development opportunities within an international research organization
- 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-0026p”
AIMS International-Denmark ApS
World Trade Center Ballerup
#Bioinformatics #AntibodyDiscovery #ComputationalBiology #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