Post-Doctoral Research Associate in Machine Learning/Machine Learning Scientist

We invite applications for the position of Postdoctoral Research Associate in
Machine Learning/Machine Learning Scientist to join the Deep Medicine
programme at the Nuffield Department of Women’s and Reproductive Health
(NDWRH), University of Oxford.





The successful candidate will join a multi-disciplinary group of machine
learning scientists, epidemiologists and clinicians at Deep Medicine who lead
pioneering research in precision medicine with a focus on cardiovascular
health.





The researcher will be expected to lead, build upon and advance this work in
order to integrate various HER data sources and other omics database and build
multi-type and multi-model AI solutions for risk prediction. Working with some
of the largest and most comprehensive EHR, in the world, such as CPRD and UK
Biobank as well as more niche “Omics” datasets, the project provides a unique
opportunity to apply advanced techniques from machine learning and conduct
high-impact research, while contributing to the broader goals of Deep
Medicine.





The objective of the project is to develop and enhance a range of Transformer-
based models to predict the risk of key clinical outcomes, such as all-cause
mortality and cardiovascular events and undertake subsequent analyses of the
models for hypothesis generation in the context of MLTC. At the onset, the
focus will be to develop robust AI models for prediction as compared to
established benchmarks. The focus will then shift to explainability and
association studies.





The researcher is expected to take ownership of the project, propose novel
methods, models and applications of ML/DL, write protocols for studies,
present the ideas within the group, have advanced coding and data processing
skills to execute the ideas in a timely manner and publish the results in high
impact ML conferences and medical journals such as ICML, NeurIPS, Lancet,
JAMA, BMJ, and Nature Machine Intelligence. As a senior researcher the holder
of the position is expected work with other senior researchers within the team
and lead grant applications on related topics.





The suitable candidate must hold a minimum of a PhD, or be nearing completion
of a PhD, or an equivalent qualification in computer science, statistics,
mathematics, engineering or other relevant areas and have up-to-date knowledge
in advanced AI topics, such as deep learning, representation learning,
sequence models, NLP, multimodal AI, generative models. The researcher must
have advanced programming skills in Python and related data processing,
machine learning, deep learning, and visualisation libraries, such as PyTorch,
TensorFlow, scikit-learn, Dask, PySpark, Pandas and have familiarity with
causal inference on observational data.





The post is full-time (part-time will be considered, a minimum of 0.6 FTE) and
is fixed term for 24 months in the first instance. Applications for flexible
working arrangements are welcomed and will be considered in line with business
needs.





Please note, the successful candidate will need to be in post by 1st October
2024.





You will be required to upload a CV and Supporting Statement as part of your
online application. Click here for information and advice on writing an
effective Supporting Statement.





The closing date for applications is 12.00 noon on Monday 24th June 2024.
Interviews will take place on Friday 5th July 2024.





This is a re-advertisement, therefore previous applicants need not apply.