Senior Computational Biologist

1 month ago


Beijing, Beijing, China Novo Nordisk Full time

Digital Science and Innovation

We are seeking a skilled Computational Biologist to join our team at Novo Nordisk Research Center China. This role will involve working closely with research scientists across the R&D area to deliver new and better drugs by understanding biological data.

About the Role

As a Computational Biologist, you will be responsible for enabling data-driven decision making across various stages of drug discovery. Your expertise will be essential in comprehending molecular profiles, pathway and network, modes of action, disease progression, and epigenetic signals in the context of metabolic diseases.

Responsibilities

  • Contribute to early pipeline by enabling data-driven decision making across various stages of drug discovery
  • Collaborate closely with research scientists across the R&D area to deliver new and better drugs by understanding biological data
  • Work with the global target discovery (GTD) team to guide assay development and drive data analysis

Qualifications

  • PhD in applied mathematics, bioinformatics, computational biology, system biology, biological sciences, or related field, with a minimum of 3 years of experience in the pharmaceutical/ biotechnology industry or academia
  • Solid expertise in specific areas of biological mechanisms and target/biomarker discovery process, including but not limited to multi-omics, pathway analysis, network approach, genetic and epigenetics analysis, human cohort study
  • Proven hands-on experience in analysing large, complex, and high-dimensional biomedical datasets

About Us

At Novo Nordisk, we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in.



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