Postdoctoral Researcher in Cell Line Engineering

Job summary

This role involves leading computational research to design and optimize mammalian cell lines for biotherapeutic production. The focus is on enhancing metabolic efficiency to reduce production costs and improve accessibility to biotherapeutics.

Qualifications

• PhD degree or equivalent in a relevant field.
• Experience with mammalian genome-scale metabolic models and constraint-based modeling frameworks (e.g., COBRApy).
• Proficiency in analyzing multiomic datasets for biological insights.
• Familiarity with structural bioinformatics and molecular docking techniques.
• Strong programming skills in languages such as Python and R, with knowledge of version control systems like Git.
• Proven track record of scientific publications as a first author.
• Excellent communication skills in English, capable of conveying complex ideas to diverse audiences.
• Experience mentoring students at various academic levels in cell culture and genetic engineering.

Responsibilities

• Design and simulate amino acid biosynthetic pathways using genome-scale metabolic models.
• Conduct bioinformatics analyses on multi-omics datasets to identify metabolic bottlenecks.
• Model interactions between pathway intermediates and mammalian proteins.
• Prepare manuscripts for peer-reviewed journals and present findings at conferences.
• Mentor PhD, MSc, and BSc students in the research group.

Skills

• Strong analytical and problem-solving skills in computational biology.
• Ability to work collaboratively in an interdisciplinary environment.

Education

• A PhD degree in a relevant field is required.

Tools

• Genome-scale metabolic modeling software (e.g., COBRApy).
• Programming languages (Python, R).
• Bioinformatics tools for multi-omics analysis.