Postdoc in Neonatal Genomics & Biomarker Discovery

Wellcome Sanger Institute; Cambridge; On-site; GBP 39,000 - 50,000; Full time

Benefits offered by this job

Hybrid working arrangements

Campus facilities and wellbeing

Job summary

Wellcome Sanger Institute in Cambridge seeks a motivated Postdoctoral Fellow to join the Martin group, advancing understanding of early-life traits and biomarkers for perinatal conditions.

The role involves large-scale proteomic and genomic analyses, linking with rich registry data, and exploring genetic architectures in neonatal traits using state-of-the-art methods and AI-enhanced workflows. A 3-year contract with access to leading sequencing and computing resources is offered.

Qualifications

• PhD in statistics, genetics, genomics, bioinformatics or related field.
• Experience analysing large-scale omics data with QC and normalization.
• Knowledge of statistical methods for large-scale omics research.
• Full working proficiency in Python and/or R, and Unix/Linux.
• Experience using AI tools to improve productivity in research.
• Proven reproducible code with GitHub, Snakemake/Nextflow, RMarkdown.

Responsibilities

• Analyze large-scale proteomic data from neonatal birth cohorts to develop biomarkers.
• Link samples to rich registry data to explore molecular subtypes and etiology.
• Optionally analyze large genetic datasets to perform initial studies on neonatal conditions.
• Analyze sequence data from 110,000 individuals across four birth cohorts for genetic influences.
• Investigate direct vs indirect genetic effects and time-varying genetic influences.

Skills

Python

R

Unix/Linux

Statistics

Omics data analysis

AI tools

GitHub

Education

PhD in statistics/genetics/genomics

Tools

Snakemake

Nextflow

GitHub

RMarkdown

Job description

Wellcome Sanger Institute in Cambridge seeks a motivated Postdoctoral Fellow to join the Martin group, advancing understanding of early-life traits and biomarkers for perinatal conditions.

The role involves large-scale proteomic and genomic analyses, linking with rich registry data, and exploring genetic architectures in neonatal traits using state-of-the-art methods and AI-enhanced workflows. A 3-year contract with access to leading sequencing and computing resources is offered.