cfDNA Genomics Postdoc: Statistical Methods & AI

sanger; Hinxton; On-site; GBP 42,000 - 64,000; Full time

Job summary

Wellcome Sanger Institute in Hinxton seeks a Postdoctoral Fellow or Senior Postdoctoral Fellow to advance cfDNA genomics in pregnancy and neonatal research. You will develop statistical genetics methods and contribute to large-scale analyses of sequencing data.

The role emphasizes independence, collaboration, and software development in Python/R, with experience in somatic variant calling, phasing, and imputation highly valued. Applicants contact Hilary Martin for queries.

Qualifications

• PhD in a relevant area (statistics, statistical genetics, genetics, genomics, bioinformatics, machine learning or similar)
• Strong background in statistics or statistical genetics, including the ability to develop, implement and benchmark new statistical methods
• Experience working with raw sequence data (alignments, variant calling, quality control)
• Experience analysing large-scale human genetic or genomic data
• Full working proficiency in Python and/or R, and Unix/Linux
• Experience or enthusiasm for using AI tools to improving productivity in scientific research, statistical methods development and/or software development
• Knowledge and understanding of statistical methods appropriate for large-scale genetic research
• Previous experience writing highly reproducible code with github, Snakemake/Nextflow, RMarkdown or similar
• Experience developing pipelines or software for large-scale analyses of genomic data, including running workflows efficiently on HPC and/or cloud infrastructure
• Creativity and original scientific ideas
• Enthusiasm and commitment
• Attention to detail
• Effective problem-solving skills
• Ability to communicat

Responsibilities

• Develop statistical and deep learning methods for calling fetal and maternal genotypes from high-coverage cfDNA sequence data
• Apply methods to study pregnancy complications in large samples
• Develop biomarkers for pregnancy complications from methylation-aware whole-genome cfDNA data
• Collaborate with groups at external institutions

Skills

Statistics

Genetics

Machine learning

Software development

Education

PhD in statistics / statistical genetics / genetics / genomics / bioinformatics / ML

Tools

Python

R

Unix/Linux

Snakemake/Nextflow

GitHub

Job description

Wellcome Sanger Institute in Hinxton seeks a Postdoctoral Fellow or Senior Postdoctoral Fellow to advance cfDNA genomics in pregnancy and neonatal research. You will develop statistical genetics methods and contribute to large-scale analyses of sequencing data.

The role emphasizes independence, collaboration, and software development in Python/R, with experience in somatic variant calling, phasing, and imputation highly valued. Applicants contact Hilary Martin for queries.