Postdoctoral Fellow — Neonatal Genomics & Biomarkers

Genome Research Limited (GRL)

Hinxton

Híbrido

GBP 39.000 - 50.000

Jornada completa

Hace 5 días
Sé de los primeros/as/es en solicitar esta vacante

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Hybrid Working
Flexible working policy
Wellbeing programme
Family and carer-friendly policies

Descripción de la vacante

Wellcome Sanger Institute in Cambridge is seeking a highly motivated Postdoctoral Fellow in the Martin group to study the genetic basis of early-life traits and develop biomarkers for pregnancy complications and neonatal diseases. You will analyze large-scale multi-omics data, work with national cohorts such as MoBa, and collaborate with UK and Scandinavian groups; hybrid on-campus work is available.

The role requires a PhD, experience with high-throughput omics, Python/R, and reproducible code;

Formación

  • PhD in statistics, genetics, genomics, proteomics or related field.
  • Experience analyzing large-scale omics data (genetic, epigenetic, proteomic).
  • Proficiency in Python and/or R; Unix/Linux experience.

Responsabilidades

  • Analyze large-scale proteomic/genomic data to identify biomarkers.
  • Work with national birth cohorts to study perinatal traits.
  • Develop and apply statistical methods for omics data.
  • Collaborate with UK/Scandinavian groups and Sanger Institute teams.
  • Ensure reproducible, well-documented analysis pipelines.

Conocimientos

PhD in genetics
Omics data analysis
Statistical methods
Python/R
Unix/Linux
AI tools
Reproducible code
Communication

Educación

PhD

Descripción del empleo

Wellcome Sanger Institute in Cambridge is seeking a highly motivated Postdoctoral Fellow in the Martin group to study the genetic basis of early-life traits and develop biomarkers for pregnancy complications and neonatal diseases. You will analyze large-scale multi-omics data, work with national cohorts such as MoBa, and collaborate with UK and Scandinavian groups; hybrid on-campus work is available.

The role requires a PhD, experience with high-throughput omics, Python/R, and reproducible code;

Consigue la evaluación confidencial y gratuita de tu currículum.

o arrastra y suelta tu archivo aquí

Similar jobs

Puestos de trabajo similares que vale la pena comparar

Postdoctoral Fellow — Perinatal Genomics & Biomarkers
Postdoctoral Fellow — Perinatal Genomics & Biomarkers

sanger • Hinxton

Presencial
GBP 34.000 - 42.000
Postdoctoral Fellow - Neonatal Genomics & Biomarkers
Postdoctoral Fellow - Neonatal Genomics & Biomarkers

Wellcome Sanger Institute • Hinxton

Híbrido
GBP 39.000 - 50.000
Hybrid working
Postdoc: Genomics & Neonatal Biomarker Discovery
Postdoc: Genomics & Neonatal Biomarker Discovery

CamWebDir • Cambridge

Híbrido
GBP 39.000 - 50.000
Postdoc in Neonatal Genomics & Biomarker Discovery
Postdoc in Neonatal Genomics & Biomarker Discovery

Wellcome Sanger Institute • Cambridge

Presencial
GBP 39.000 - 50.000
Hybrid working arrangements
Campus facilities and wellbeing
Postdoctoral Fellow: Neonatal Genomics & Biomarkers
Postdoctoral Fellow: Neonatal Genomics & Biomarkers

Wellcome Genome Campus Limited • Hinxton

Híbrido
GBP 39.000 - 50.000
Hybrid working
Postdoctoral Fellow
Postdoctoral Fellow

sanger • Hinxton

Presencial
GBP 34.000 - 42.000
Senior Postdoc: cfDNA Genomics & Statistical ML
Senior Postdoc: cfDNA Genomics & Statistical ML

Wellcome Genome Campus Limited • Hinxton

Híbrido
GBP 39.000 - 50.000
cfDNA Genomics Postdoc: Statistical Methods & AI
cfDNA Genomics Postdoc: Statistical Methods & AI

sanger • Hinxton

Presencial
GBP 42.000 - 64.000
Postdoctoral Fellow
Postdoctoral Fellow

Genome Research Limited (GRL) • Hinxton

Híbrido
GBP 39.000 - 50.000
Hybrid Working
Flexible working policy
Wellbeing programme
+1
cfDNA Genomics Postdoc: Advanced Statistical & ML Methods
cfDNA Genomics Postdoc: Advanced Statistical & ML Methods

Wellcome Sanger Institute • Hinxton

Híbrido
GBP 39.000 - 50.000
Hybrid working