Senior Research Assistant

il y a 3 semaines


Lyon, Auvergne-Rhône-Alpes, France WHO Temps plein
Job Description

Job Summary

We are seeking a highly skilled Senior Research Assistant to join our team as a Bioinformatics Specialist. The successful candidate will provide computational and bioinformatic support to our research branch, working closely with our scientists to analyze and interpret large datasets.

Key Responsibilities

  • Provide computational support to the research branch by writing and adapting scripts and analytical packages for data manipulation and analysis.
  • Assist scientists in data analysis, including developing and adapting statistical and other types of data analyses, and formatting and communicating data for inclusion in scientific presentations and publications.
  • Participate in the Agency's central bioinformatics activities, ensuring that new methodologies are available across the organization and sharing expertise with other bioinformaticians.
  • Interact with other groups at the Agency, providing input on high-performance computing and information technology resources, and participating in working groups and seminars.
  • Interact with external collaborators on bioinformatics and data analysis knowledge, discussing issues related to large datasets and their analysis.
  • Stay up-to-date with technological developments in bioinformatic resources and tools, producing regular activity reports and presenting progress and results during group and branch meetings.

Requirements

  • Graduation from secondary school or equivalent, and subsequent training in bioinformatics, life sciences, computer science/programming, statistics or related field.
  • At least five years' experience with high-performance computing and/or cluster management using scripting languages/programming (Python and/or R).
  • Expert knowledge of English is essential, and intermediate knowledge of French is desirable.
  • Knowledge of R for statistical computing and data visualization, and one or more scripting or programming languages (Perl, Python, Ruby, C++ or Java etc.), preferably using the Unix/Linux environment.
  • Good general understanding of molecular and cell biology.
  • Ability to design, optimize and implement bioinformatic workflows for analysis of complex data, clearly communicate results to a variety of audiences, work autonomously and prioritize work in a demanding environment, and create clear, concise figures for publications.

Desirable Qualifications

  • University degree in bioinformatics, computer science/statistics or related field.
  • Experience in research environment.
  • Experience in other programming languages using Unix/Linux environment.

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