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Gubra is seeking a dedicated and experienced Department Manager to lead our newly modified Pharmaceutical Development department within our Biotech business unit. The ideal candidate will possess proven leadership abilities and a passion for managing and developing teams, along with a background in Pharmaceutical Sciences. The Pharmaceutical Development department plays an important role in supporting Gubra's peptide drug discovery projects with Analytical method development and analysis of physicochemical stability and solubility for peptide candidates in discovery and development; Formulation development for drug discovery preclinical studies; Support for formulation development for clinical trials.
Job Responsibility:
Daily management of a team of scientists and lab technicians to ensure high performance, personal development, well-being and engagement
Guide the team to accomplish department goals and objectives
Oversee the planning, execution, and analysis of experiments to support Gubra’s internal and partnered drug discovery projects
Engaging in collaborative interactions with other department managers and key internal stakeholders to ensure successful advancement of projects
Proactive lead in automatization and digitalization of processes within peptide physicochemical screening and striving for continuous optimization
Support to Vice President and Executive Management to implement and execute the company strategy
Requirements:
Leadership experience from the biotech/pharmaceutical industry
PhD or other equivalent experience within life sciences
Expertise in chemical and physical peptide characterization, analytical method development, pre-formulation and formulation development
Knowledge of data to support outsourced Drug substance and Drug product production
Proven involvement in drug discovery projects, demonstrating contributions across different phases
Ability to communicate clearly and concisely
Knowledge of laboratory automation and data management is beneficial
Nice to have:
Knowledge of laboratory automation and data management is beneficial