Post-Doctoral Research Fellow in Biomedical Data Science
Position description:
Applications are invited for a postdoctoral research position in Biomedical Data Science. This is a joint initiative between the Firefly research project led by Prof. Eleanor Molloy at the Trinity Translational Medicine Institute and the Discipline of Statistics and Information Systems, School of Computer Science and Statistics, Trinity College Dublin (contacts Prof. Jason Wyse and Prof. Arthur White) https://www.scss.tcd.ie/disciplines/statistics/.
The successful applicant will lead an exciting new project that aims to develop novel statistical / machine learning tools to develop a deep phenotyping pathway for babies with perinatal injury and developmental problems. There are extant extensive longitudinal data sets containing flow cytometry, biomarker, imaging and psychology data streams. The successful applicant will manage these multiple sources of data and develop and apply novel statistical / machine learning techniques that will contribute to and address the research objectives of the Firefly project.
We are looking for a highly motived and ambitious candidate with a strong background in mathematical modelling, data science and statistics, ideally in the context of a biological setting. Strong communication skills are a necessity for this role. The research team already includes post-doctoral researchers and PhD students. The new position will actively support the research team providing general statistical advice to the wider group, present at national and international meetings, and publish in leading international statistical and paediatric journals.
Scientific Background:
Babies who have brain injury also frequently have involvement of their kidneys, lung and heart. Although clinical care in the neonatal period is well defined there are few guidelines and evidence for developmental, heart and kidney follow up in childhood. Inflammation is an important factor in brain injury of newborns and also affects their heart, lungs, and other parts of their body. We will use data obtained in clinical tests from the newborn period to predict outcomes and help parents with planning health needs for their baby rather than waiting for issues to arise later on. By understanding inflammation we can find methods to decrease the negative effects and improve outcomes in the future for babies and families. We aim to develop and implement guidelines for health care workers and families on follow up after Neonatal Brain Injury.
Requirements:
A PhD in Statistics, Bioinformatics, Machine Learning, or other related quantitative modelling discipline. Candidates should have experience in handling multiple data sources, knowledge or experience of longitudinal data analysis, and exploratory data analysis, e.g. unsupervised learning techniques such as clustering or dimension reduction methods. Experience with suitable software for data extraction and analysis (R, Python, SQL etc.). Ability to work in a multi-disciplinary setting.
Appointment will be made at the Level 2 point 1 Salary Scale of €37,874 per annum for a period of 2 years.
Closing Date for applications: 28th February 2020 or until a suitable candidate is identified.
For further enquiries or to apply please contact [log in to unmask]
Applications should include a cover letter and CV giving the names and contact details of 2 referees.
Trinity College Dublin is an equal opportunities employer.
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|