Research Scientist — Maternal Sleep & AI-Enabled Studies

HMRN; Greater London; Hybrid; GBP 54,000 - 63,000; Full time

Job summary

King’s College London invites applications for a Research Scientist – Maternal Sleep to lead observational cohort studies and interventional trials on sleep-disordered breathing in pregnancy, aimed at improving maternal and perinatal outcomes.

The role involves securing external funding, collaborating with clinicians, data scientists, behavioral scientists, digital health specialists, and international partners, and translating findings into antenatal screening and treatment pathways; it is a

Qualifications

• PhD in sleep or respiratory physiology, with postdoctoral experience.
• Experience with maternal and perinatal outcomes and objective sleep measurement (PSG/home sleep apnea testing).
• Experience designing clinical/behavioural/population health/digital health studies with ethics approval.
• Strong publication record and experience securing research funding.
• Project management across obstetricians, midwives, sleep physiologists & statisticians under tight deadlines.

Responsibilities

• Design and deliver observational cohort studies and interventional trials of sleep-disordered breathing in pregnancy.
• Collaborate with clinicians, researchers, data scientists, behavioral scientists, digital health specialists and international partners.
• Secure external funding and translate findings into antenatal screening and treatment pathways.
• Note: role is non-clinical/basic science and does not involve direct healthcare delivery.

Skills

Project management

Interdisciplinary collaboration

Research leadership

Publications

Grant applications

Education

PhD in sleep or respiratory physiology

Tools

R

Python

Job description

King’s College London invites applications for a Research Scientist – Maternal Sleep to lead observational cohort studies and interventional trials on sleep-disordered breathing in pregnancy, aimed at improving maternal and perinatal outcomes.

The role involves securing external funding, collaborating with clinicians, data scientists, behavioral scientists, digital health specialists, and international partners, and translating findings into antenatal screening and treatment pathways; it is a