Clinical Research Fellow – ELEVATE Programme

University College Cork; Minnesota; On-site; EUR 45,000 - 75,000; Full time

Job summary

An exciting opportunity awaits as a Clinical Research Fellow in a pioneering programme focused on predicting at-risk pregnancies and improving outcomes for mothers and infants. This role involves leveraging artificial intelligence to analyze critical datasets and develop innovative models that support clinical decisions. Join a dedicated research group at a prestigious institution, where your contributions will directly impact the understanding and management of pregnancy risks. If you are passionate about advancing maternal and neonatal health through research, this full-time position offers a chance to make a significant difference in the field.

Benefits

University fees coverage up to €5,900

Travel expenses

Consumables funding

Research support

Qualifications

• PhD or Medical Degree required for Clinical Research Fellow position.
• Experience in AI and data analysis is highly desirable.

Responsibilities

• Support research on at-risk pregnancies and sentinel events before birth.
• Develop models for clinical decision-making using maternal and neonatal datasets.

Skills

Clinical Research

Artificial Intelligence

Data Analysis

Clinical Decision-Making

Education

PhD in a relevant field

Medical Degree

Tools

Statistical Software

Electronic Health Records Systems

Job description

Join Our Team: Seeking Clinical Research Fellow – ELEVATE Programme

18 Oct 2024

We are now accepting applications for a Clinical Research Fellow to support the work of pillar 1 of the ELEVATE programme – PREVENT: Prediction of the at-risk pregnancy and prediction of sentinel events before birth associated with early brain injury and cerebral palsy.

The funding includes salary on the SpR scale and includes travel and consumables. This also covers University fees of up to a maximum of €5,900 per annum and is tenable for three years (full-time). 

Project outline

Multiple fetal maternal factors lead to increased risk of poor pregnancy and fetal outcome. In this project we plan to identify and systematically review the most important maternal and fetal risk factors for pregnancy outcomes. We aim to harness the power of artificial intelligence to interrogate maternal and neonatal datasets at the INFANT Research Centre and from data available in the Maternal & Newborn Clinical Management System (MN-CMS), a unique set of electronic health records. Using multiple variables identified in these data, we plan to develop models to provide essential clinical decision-making support to identify and better monitor pregnancies deemed at risk of adverse perinatal outcomes.

• Closing date for applications: 12 noon (Irish Local Time) on Friday, 01 November 2024
• Interviews for shortlisted candidates: November 2024

Pregnancy Loss Research Group, Department of Obstetrics & Gynaecology, University College Cork, Fifth Floor, Cork University Maternity Hospital, Wilton, Cork, T12 YE02, Ireland,