Research Associate in Topological Data Analysis

at  Kings College London

Job id: 090928. Salary: £43,205 per annum, including London Weighting Allowance.
Posted: 28 June 2024. Closing date: 07 July 2024.
Business unit: IoPPN. Department: Biostatistics & Health Informatics.
Contact details: Raquel Iniesta. Raquel.iniesta@kcl.ac.uk
Location: Denmark Hill Campus. Category: Research.
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About us:
The Department of Biostatistics and Health informatics at the Institute of Psychiatry, Psychology and Neurosciences has been a major force in the development of quantitative methodology as applied to mental health research. We have significant national and international collaborations, and our research has growing impact into all areas of medicine particularly through expertise in trials and software development.
About the role:
Are you passionate about applied statistics and machine learning? Would you like to make a meaningful impact in healthcare research working to reduce bias in health studies and contributing to produce non-discriminatory models? Join us at the Biostatistics and Health Informatics department at King’s College London as a Postdoctoral Researcher and become part of an established team of mathematicians and statisticians specializing in contemporary applied machine learning, prediction modelling and Topological Data Analysis for healthcare.
The post holder will develop novel methodology based on Topological Data Analysis to detect data bias associated with missing data management in large scale biomedical studies. The candidate will work in collaboration with national and international experts in the field. The project will involve data from a simulations study and three large scale studies on depression.
The post holder will attend regular seminars held at the Biostatistics and Health Informatics Department on Prediction Modelling, Machine Learning and general research methodology including clinical trials and structural equation modelling. Opportunity is provided to lead publications and additional methodological and secondary publications for further professional development.
This is a full-time post (35 Hours per week), and you will be offered a fixed term contract from 1st August 2024 (or as soon as possible thereafter) until 31st July 2025.
About you:
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
1. A doctoral degree in a field, such as statistics, biostatistics, or a related quantitative discipline (or pending of results).
2. Excellent programming skills with statistical software packages such as Python and R
3. Experience (minimum 3 years) on developing and applying Topological Data Analysis methods in healthcare studies
4. Experience of applied health research
5. Ability to work both independently and as part of a multidisciplinary team
6. Willingness to learn new analytical methods within the Machine learning field
Desirable criteria
1. Completed PhD with a substantial Topological Data Analysis content
2. Expertise about missing data imputation methodology
3. Motivated and self-disciplined
Downloading a copy of our Job Description
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