Senior Research Associate in Computational Biology and Pharmacology

Vor 6 Tagen


Zürich, Zürich, Schweiz Eawag Vollzeit

Job Description

We are seeking a highly motivated and skilled Postdoctoral Researcher to join our team at Eawag, the Swiss Federal Institute of Aquatic Science and Technology. As a Postdoctoral Researcher, you will be part of a multidisciplinary research environment and will have the opportunity to work on cutting-edge projects in evolutionary population genetics, computational biology, and pharmacology.

Key Responsibilities

  • Conduct independent research in evolutionary population genetics, computational biology, and pharmacology
  • Develop and implement mathematical models and simulations to analyze complex biological systems
  • Integrate diverse datasets and develop computational tools for data analysis and visualization
  • Design and implement databases to store and manage large datasets
  • Collaborate with colleagues from various disciplines to achieve research goals
  • Communicate research findings through publications in reputable scientific journals

Requirements

  • Ph.D. in Genetics, Computational Biology, Pharmacology, or a related field
  • Strong background in evolutionary population genetics, with expertise in mathematical modeling and simulation
  • Experience in integrating diverse datasets and developing computational tools for data analysis and visualization
  • Strong communication and collaboration skills
  • Ability to work independently and as part of a small team

What We Offer

  • A dynamic and multidisciplinary research environment
  • Opportunities for professional growth and development
  • A competitive salary and benefits package
  • Access to state-of-the-art research facilities and equipment
  • A collaborative and inclusive work environment

How to Apply

  • Submit a letter of motivation
  • Include a CV
  • Provide the names and email addresses of two references
  • Highlight a first-authored publication that best represents your skill profile
  • Provide a short narrative explaining your contribution to this publication and the contribution of the co-authors


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