PhD Researcher in Statistical Genetics and Oncology

Il y a 2 mois


GifsurYvette, Île-de-France Servier Temps plein

About Servier

Servier is a global pharmaceutical company driven by a mission to improve patient health through innovative therapies. With a strong focus on oncology, neuroscience, and immuno-inflammatory diseases, Servier dedicates over 50% of its R&D budget to developing cutting-edge treatments for challenging conditions. The company's commitment to personalized medicine and access to quality healthcare for all patients is reflected in its diverse portfolio of medications and research initiatives.

Opportunity: PhD Researcher in Statistical Genetics and Oncology

We are seeking a highly motivated and talented PhD researcher to join our team at the forefront of cancer research. This CIFRE PhD project offers an exciting opportunity to contribute to groundbreaking advancements in understanding the genetic basis of cancer and developing novel therapeutic strategies.

Responsibilities:

  • Conduct thorough literature reviews on state-of-the-art methods and relevant oncology pathologies.
  • Develop and implement innovative statistical methodologies using R or Python for data analysis and modeling.
  • Apply and validate these methodologies on publicly available datasets, such as UK Biobank, to gain valuable insights into cancer genetics.
  • Disseminate research findings through peer-reviewed publications in scientific journals and presentations at international conferences.
  • Collaborate effectively with multidisciplinary teams to leverage expertise and share project outcomes.

Profile:

  • Master's degree (or equivalent) in data science, genetics, or a related field.
  • Strong foundation in statistical genetics and bioinformatics principles.
  • Experience with machine learning techniques and/or Mendelian randomization analysis.
  • Proficiency in programming languages such as R and Python for data manipulation and analysis.
  • Excellent written and oral communication skills in English.
  • Passionate about transdisciplinary research and open science at the intersection of data science and genetics.
  • Commitment to applying scientific methodologies to advance our understanding of cancer biology and improve patient care.


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