Senior Research Associate in Molecular Epidemiology

Job title:

Senior Research Associate in Molecular Epidemiology

Company:

University of Bristol

Job description

The roleWe 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 ifEssential 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 informationContract type: Open-ended with funding until 14/07/2027Work 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 22/09/2024For informal queries please contact: Dr Carolina Borges ( )Our strategy and missionWe recently launched our to 2030 tying together our mission, vision and values.The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people – because diversity of people and ideas remains integral to our excellence as a global civic institution.£41,732 to £46,974. Grade J / Pathway 2, per annum (pro rata if part-time) depending on previous experience

Expected salary

£41732 – 46974 per year

Location

Bristol Area

Job date

Sun, 25 Aug 2024 00:39:21 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (vacanciesineu.com) you saw this job posting.