Assistant Professor - GPCR Pharmacology & Pharmacogenomics

LEO Foundation Skin Immunology Research Center (SIC); København; On-site; DKK 378,000 - 512,000; Full time

Job summary

The University of Copenhagen seeks an Assistant Professor of Molecular Pharmacology to lead in vitro pharmacology projects on GPCR genetic variants. The role combines molecular biology, pharmacology, bioinformatics, and data science within a dynamic international team.

The position emphasizes developing high-dimensional data collection methods, including DNA cloning, cell sorting, and RNA purification, aiming to advance personalized medicine and drug efficacy predictions.

Qualifications

• PhD in pharmacology, pharmaceutical sciences or related field.
• Experience in mammalian cell culture-based techniques.
• Demonstrated experience in assay development and molecular pharmacological characterization of GPCRs.
• Experience in the application of FRET- and BRET- and transcription factor-based approaches.
• Proficient communication skills and ability to work in interdisciplinary teams.
• Excellent English skills written and spoken.

Responsibilities

• Conduct in vitro pharmacology studies of GPCR genetic variants in recombinant cell lines.
• Investigate potential novel ligands on GPCR targets using a broad range of pharmacological techniques.
• Develop new pharmacological techniques to collect high-dimensional data at scale (DNA cloning, cell sorting, RNA purification).
• Work across molecular biology, pharmacology, bioinformatics, and data science.

Skills

GPCR pharmacology

Mammalian cell culture

Assay development

FRET & BRET

Interdisciplinary collaboration

Excellent English

Education

PhD in pharmacology / related field

Job description

The University of Copenhagen seeks an Assistant Professor of Molecular Pharmacology to lead in vitro pharmacology projects on GPCR genetic variants. The role combines molecular biology, pharmacology, bioinformatics, and data science within a dynamic international team.

The position emphasizes developing high-dimensional data collection methods, including DNA cloning, cell sorting, and RNA purification, aiming to advance personalized medicine and drug efficacy predictions.