Senior Research Associate in Molecular Epidemiology

The role

We are seeking a talented postdoctoral researcher with expertise in Epidemiology and omics. Join our team to conduct and disseminate high-quality translational research focused on preventing and treating pregnancy-related complications, such as miscarriage, gestational diabetes, preeclampsia, preterm birth, and perinatal depression.

Why Join Us:

• Work on impactful research aimed at improving maternal health outcomes.
• Be part of a cohesive, friendly, and diverse team.
• Work in an interdisciplinary and international environment.

What will you be doing?

• Advance understanding of genetic and environmental causes of pregnancy complications using Mendelian randomization, GWAS, and genome sequencing studies.
• Utilize multi-omics (epigenetics, transcriptomics, proteomics, metabolomics) to explore molecular mechanisms and improve prediction of pregnancy complications.
• Generate research ideas, develop analysis plans, and identify relevant data sources and bioinformatic tools.
• Clean and analyze large-scale, high-dimensional datasets.
• Develop analytical tools, pipelines, and repositories.
• Document and version control all developed code.
• Write scientific papers and present research findings at conferences.
• Collaborate with researchers within and outside the IEU.

You should apply if

Essential Criteria

• Experience in Epidemiology
• Proficiency in standard statistical methods (e.g., regression models)
• Experience with genome-wide association studies (GWAS)
• Proficiency in Linux/Unix operating systems
• Expertise in R, Python, or other common programming languages

Desirable Criteria

• Experience with exome or whole-genome sequencing data analysis
• Expertise in genotype calling and imputation of genotyping array data
• Experience with additional omics data (e.g., DNA methylation, transcriptomics, proteomics, metabolomics)
• Experience with electronic health records data analysis
• Familiarity with high-performance computing on a cluster
• Experience with Research Analyses Platforms (RAP), such as DNAnexus in UK Biobank
• Experience developing/sharing open-source code
• Background in obstetrics or perinatal Epidemiology
• Publications in GWAS or Mendelian randomization
• Publications on exome or whole-genome sequencing data analysis

Additional information

Contract type: Open-ended with funding until 14/07/2027

Work pattern: Full-time/ 1 FTE (part-time considered)

Shift pattern: 35 hours per week (part-time considered)

This advert will close at 23:59 UK time on 22/09/2024

For informal queries please contact: Dr Carolina Borges (m.c.borges@bristol.ac.uk)

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