Research Fellowship in Statistical Genetics
il y a 4 semaines
Company Overview:
Servier is an international pharmaceutical group founded to serve health, governed by a Foundation, with a mission to create a significant societal impact for patients and promote a sustainable world. With a unique governance model, Servier is committed to long-term therapeutic progress for the benefit of patients. The team at Servier is united by this common purpose, which inspires daily efforts. As a global leader in cardiology, Servier aims to become a recognized, focused, and innovative player in oncology, targeting challenging cancers. Over 50% of the R&D budget is dedicated to developing targeted and innovative therapies in oncology, while also exploring growth opportunities in neuroscience and immuno-inflammatory diseases.
Position Overview:
A PhD position is available in the field of statistical genetics research, focusing on the complex relationships between cancers and immune traits. This opportunity arises from a collaboration between University Paris Cité and Servier R&D Institute, offering a unique chance to contribute to pioneering science at the intersection of genetic oncology, immunology, and data science. The project aligns with the principles of translational and personalized medicine, utilizing patient data to identify or validate targets and biomarkers of interest in oncology. The innovative approach integrates genetics and data science to enhance the likelihood of success for the PhD project.
Research Context:
Cancer remains a leading cause of morbidity and mortality globally, characterized by the uncontrolled growth of abnormal cells. The intricate relationship between the immune system and cancer has emerged as a vital research area. The immune system plays a crucial role in recognizing and eliminating malignant cells, yet cancer cells have developed strategies to evade immune detection. Understanding how immune conditions affect DNA stability and contribute to cancer risk is essential. Furthermore, immunotherapy has shown promise in treating various cancers by leveraging the immune system's capabilities. Identifying immune-related risk factors is critical for cancer prevention and the development of novel therapies.
PhD Project Focus:
The PhD project will concentrate on two main objectives:
1) Applying integrative causal inference methods to analyze cancers and immune-related traits, utilizing various omics data to create a comprehensive map of causal relationships.
2) Enhancing and developing tailored Mendelian Randomization methods to utilize pleiotropy between cancers and immune-related factors, improving the identification of specific genetic variants or genomic regions causally linked to cancer.
Key Responsibilities:
- Conduct thorough literature reviews and stay updated on state-of-the-art methodologies and relevant pathologies.
- Develop suitable methodologies using R or Python for the project.
- Apply and validate methods on public datasets of interest.
- Disseminate research findings through publications in scientific journals and presentations at international conferences.
- Collaborate with various teams to gain expertise and share project outcomes.
Candidate Profile:
- Master's degree (or equivalent) in data science and genetics.
- Strong knowledge of genetics and statistical genetics.
- Familiarity with machine learning and/or Mendelian randomization techniques.
- Proficiency in programming languages such as R and/or Python.
- Excellent written and verbal communication skills in English.
- Passion for transdisciplinary research and open science at the intersection of data science and genetics.
- Genuine interest in applying scientific methodologies to enhance biological understanding in cancer research.
At Servier, every role contributes to advancing therapeutic progress for patients. You will be part of teams recognized for their scientific excellence and will have the opportunity to develop your full potential in a professional environment that fosters growth and well-being.
Servier is committed to therapeutic progress that meets patient needs, valuing the diversity of its employees as a source of strength in fulfilling this mission.
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