Maternal Sleep Research Scientist – AI & Perinatal Health

King's College London

Greater London

On-site

GBP 54,000 - 63,000

Full time

8 days ago

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Benefits offered by this job

Professional development days

Job summary

King’s College London invites applications for a Research Scientist – Maternal Sleep. The role leads a programme on obstructive sleep apnoea in pregnancy and designs observational cohorts and interventional trials to generate pregnancy-specific diagnostic evidence.

The post holder will translate findings into antenatal screening and treatment pathways. The post holder will collaborate with clinicians, data scientists, behavioural scientists, and international partners to deliver high-quality,

Qualifications

  • Essential criteria: PhD in sleep or respiratory physiology, epidemiology, biomedical engineering, physiology or closely related discipline with postdoctoral research experience.
  • Experience in maternal/perinatal outcomes and objective sleep measurement (PSG/home sleep apnea testing).
  • Experience designing and delivering clinical, behavioural, population health, or digital health research studies with ethics approval.

Responsibilities

  • Design and deliver observational cohort studies and interventional trials of sleep-disordered breathing in pregnancy.
  • Secure external research funding and translate findings into antenatal screening and treatment pathways.
  • Collaborate with clinicians, researchers, data scientists, behavioural scientists, and international partners to deliver AI-enabled research studies.

Skills

Cross-disciplinary collaboration
Project management
Research funding experience
Statistical analysis (R/Python)
Academic publications

Education

PhD in sleep or related field

Tools

R
Python

Job description

King’s College London invites applications for a Research Scientist – Maternal Sleep. The role leads a programme on obstructive sleep apnoea in pregnancy and designs observational cohorts and interventional trials to generate pregnancy-specific diagnostic evidence.

The post holder will translate findings into antenatal screening and treatment pathways. The post holder will collaborate with clinicians, data scientists, behavioural scientists, and international partners to deliver high-quality,

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