Postdoc: Cure Modeling in Oncology Survival Analysis

KU LEUVEN

Leuven

On-site

EUR 40,000 - 54,000

Full time

6 days ago
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Job summary

KU Leuven's ORSTAT group invites applications for a full-time postdoctoral researcher position in survival analysis, focusing on Statistical Cure Modeling and economic oncology applications. The project collaborates with MSD and centers on modeling long-term survival and cure fractions using relative survival approaches.

The candidate will work at ORSTAT in Leuven, contribute to methodological development in cure models, and participate in seminars and dissemination activities, with a starting

Qualifications

  • PhD in Statistics or related discipline (near starting date).
  • Good publication track record in statistics, preferably in survival analysis.
  • Proficient in R programming, or willingness to develop expertise in R.
  • Interest in pharmaceutical sector with strong work ethics.
  • Some pharma sector experience or collaborations with industry is a plus.
  • Fluent in English with strong communication and presentation skills.

Responsibilities

  • Conduct research on statistical cure modeling and applications in oncology.
  • Collaborate with MSD and KU Leuven group ORSTAT on project milestones.
  • Develop and implement survival analysis models in R.
  • Present findings in seminars and conferences; contribute to publications.
  • Possibly supervise master's theses or support educational tasks.

Skills

Survival analysis
Publication track record
English communication
Communication skills

Education

PhD in Statistics or related discipline

Tools

R

Job description

KU Leuven's ORSTAT group invites applications for a full-time postdoctoral researcher position in survival analysis, focusing on Statistical Cure Modeling and economic oncology applications. The project collaborates with MSD and centers on modeling long-term survival and cure fractions using relative survival approaches.

The candidate will work at ORSTAT in Leuven, contribute to methodological development in cure models, and participate in seminars and dissemination activities, with a starting

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