Senior Research Associate in Molecular Epidemiology

4 weeks ago


London, Greater London, United Kingdom University of Bristol Full time

We are seeking a talented postdoctoral researcher with experience in epidemiology and omics to join our team at the University of Bristol.

The role involves conducting and disseminating high-quality translational research concerned with the impact of infertility and its treatment on molecular mechanisms, using epigenomic, transcriptomics, metabolomic, and proteomic data.

Key Responsibilities:

  • Conducting research to advance understanding of the effects of infertility and its treatment on epigenomic, transcriptomics, metabolomic, and proteomic pathways.
  • Generating research ideas, developing, and executing analysis plans that triangulate evidence from different approaches to support causal analyses.
  • Identifying relevant data sources and bioinformatic tools.
  • Cleaning and analyzing large-scale, high-dimensional datasets.
  • Presenting research findings at local, national, and international meetings and conferences.

Requirements:

  • A relevant postgraduate research degree, i.e., a PhD (or working towards one) in epidemiology, molecular epidemiology, medical statistics, or a related quantitative discipline, or equivalent professional experience.
  • Expertise in epidemiology.
  • Experience in analyzing high-dimensional 'omics data in large cohorts.
  • Expertise in using standard statistical methods, e.g., regression models.
  • Expertise in performing causal inference analyses, e.g., Mendelian randomization, within-family analyses, using negative and/or positive controls.
  • Expertise in using R, Python, or other common languages.
  • Excellent verbal and written communication skills.

Desirable:

  • Experience with high-performance computing on a cluster.
  • Experience of developing/sharing open-source code.
  • Experience in reproductive epidemiology.

We are looking for a highly motivated and skilled researcher to contribute to our team's research efforts. If you have a strong background in epidemiology and omics, we encourage you to apply for this exciting opportunity.



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