Research Data Analyst

1 week ago

Sydney, New South Wales, Australia beBeeBioinformatician Full time $115,778 - $126,030

Unlock the Power of Bioinformatics

We are seeking a talented professional to join our team as a Bioinformatics Specialist. As a specialist, you will play a critical role in designing experiments, building cutting-edge algorithms, and applying best-practice computational tools to transform complex clinical and experimental datasets into meaningful insights.

Your Key Responsibilities:

  • Contribute to activities that enhance the awareness, reputation, and standing of our research facility.
  • Assist in preparing grant applications for collaborative research projects.
  • Conduct and support research experiments and projects independently and as part of a team.
  • Demonstrate scientific knowledge and technical expertise, with a commitment to continuous learning and development.
  • Apply your expertise to a diverse range of projects and identify optimal solutions to research problems.
  • Prepare and report research data for documentation and presentations.
  • Maintain accurate records and support the archiving of research data and shared resources.
  • Support our team leader with facility operations, administrative tasks, and adherence to research policies and procedures.
  • Contribute to the development and deployment of facility tools, technologies, and services.
  • Actively participate in facility and Institute scientific meetings.
  • Engage in training activities alongside other team members.

Requirements:

  • Hold at least an MSc and/or PhD in Bioinformatics, Computational Biology, Mathematics, Statistics, or possess equivalent experience.
  • Have experience working in a professional research capacity with a strong focus on biomedical data analysis.

Desirable Skills and Experience:

  • Create and implement bioinformatics pipelines/workflows on Linux, HPC, and/or cloud-based computing platforms.
  • Data manipulation and exploratory data analysis using R or Python.
  • Interpreting results from differential gene expression analysis, single-cell transcriptomics, and/or proteomics.

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