Senior Research Associate in Molecular Epidemiology

4 weeks ago

London, Greater London, United Kingdom University of Bristol Full time
Job Title: Senior Research Associate in Molecular Epidemiology

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

Job Summary:

The role involves conducting and disseminating high-quality translational research concerned with the impact of infertility and its treatment with Assisted Reproductive Technology (ART) or Medically assisted reproduction (MAR) 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 (ART and MAR) 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 analysing 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 analysing high dimensional 'omics (e.g. metabolomics, proteomics) 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), including understanding analysis assumptions and ability to explore these with sensitivity analyses
  • Expertise 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
What We Offer:

Work on impactful research related to infertility and its treatment

Be part of a cohesive, friendly, and diverse team

Work in an interdisciplinary and international environment

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