cfDNA Genomics Fellow: Statistical Methods & AI

Wellcome Sanger Institute

New Alresford

Hybrid

GBP 39,000 - 50,000

Full time

14 days+

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Job summary

Wellcome Sanger Institute—Martin group—is seeking a Postdoctoral Fellow or Senior Postdoctoral Fellow to develop statistical and ML methods for cell-free DNA (cfDNA) from pregnant women and people. You will work on calling fetal/maternal genotypes and detecting fetal components in maternal plasma, with opportunities to collaborate internationally on pregnancy complications and multi-omics studies.

The role emphasizes robust software development, reproducible workflows, and leadership for the

Qualifications

  • PhD in statistics, statistical genetics, genetics, genomics, bioinformatics, machine learning or similar.
  • Strong background in statistics or statistical genetics, including development and benchmarking of new methods.
  • Experience with raw sequence data (alignments, variant calling, QC).
  • Experience analysing large-scale human genetic/genomic data.
  • Proficiency in Python and/or R, and Unix/Linux.
  • Experience or interest in using AI tools to boost productivity in research and software development.
  • Knowledge of statistical methods for large-scale genetic research.
  • Experience writing reproducible code with GitHub, Snakemake/Nextflow, RMarkdown or similar.
  • Experience developing pipelines for large-scale genomic analyses, including HPC/cloud workflows.
  • Creativity, collaboration, attention to detail, and independent work.

Responsibilities

  • Develop new statistical and deep learning methods for calling fetal and maternal genotypes from cfDNA data.
  • Apply methods to pregnancy complications in large cohorts and collaborate with international groups.

Skills

PhD in statistics/genetics
Statistics or statistical genetics
Python/R
Unix/Linux
AI tools in research
Genetic data analysis
Reproducible code (GitHub/Snakemake/Do
HPC/Cloud workflows
Communication skills

Education

PhD in statistics/genetics/genomics

Tools

GitHub
Snakemake/Nextflow
RMarkdown

Job description

Wellcome Sanger Institute—Martin group—is seeking a Postdoctoral Fellow or Senior Postdoctoral Fellow to develop statistical and ML methods for cell-free DNA (cfDNA) from pregnant women and people. You will work on calling fetal/maternal genotypes and detecting fetal components in maternal plasma, with opportunities to collaborate internationally on pregnancy complications and multi-omics studies.

The role emphasizes robust software development, reproducible workflows, and leadership for the

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