Data Scientist for Cardiometabolic Research

1 month ago


Copenhagen, Copenhagen, Denmark Københavns Universitet (KU) Full time
About the University of Copenhagen

Københavns Universitet (KU) is a leading research-intensive university in Denmark.

Job Description

We are seeking a highly motivated and talented Postdoc fellow to develop patient-level multi-modal foundation models for studying cardiometabolic disease. You will work with state-of-the-art deep learning-based foundation models using data from large international biobanks, such as UKB, All of Us, and Project 10K.

Your tasks will include developing and training these models, interpreting the results, and disseminating them through presentations and manuscripts. The aim is to contribute to the development of novel prevention and treatment strategies for cardiometabolic diseases.

Key Responsibilities
  • Develop and train state-of-the-art deep learning-based foundation models for cardiometabolic disease research
  • Work with large-scale international biobank data, including UKB, All of Us, and Project 10K
  • Interpret results and present findings through presentations and manuscripts
Requirements
  • PhD in Biology, Bioinformatics, Computational Biology, Computer Science, Data Science, or another relevant research field
  • Excellent scientific track record in relation to career stage
  • Profound knowledge of machine learning and/or deep learning
  • Knowledge of analysis of bulk or single-cell omics datasets
  • Experience in programming is strongly desirable
  • Excellent English communication skills, both written and oral
Eligibility

The Postdoc fellowships within the CBMR International PhD & Postdoc Program are open for applicants that hold a PhD degree awarded from a university outside of Denmark.

The program is also open for applicants with a Danish PhD degree who can document at least 12 months of full-time research experience from outside Denmark during or after the PhD studies.

Salary and Benefits

The employment as Postdoc is a full-time position for 3 years. The estimated salary is around $60,000 per year, commensurate with qualifications and experience. Additionally, you will receive benefits such as health insurance, pension plan, and paid vacation time.



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