Job summary
Machine Learning for Radiology Scientist - Applications are sought for a postdoctoral research fellow and is an exciting opportunity for a scientist with a flair for applying machine and deep learning techniques to real-world problems. The Machine Learning for Radiology Scientist will be working on a programme whose aims are to develop enhanced readouts from radiological images by the application of state-of-the-art machine learning techniques. These readouts will be used by clinicians managing the treatment of cancer patients, and by scientists developing and evaluating novel therapies. This post, while focussing principally on image analysis, is at the interface of radiology and multiple other sources of patient data such as genomics and outcome data and will involve the study of both rare and common cancers. This will provide interesting and varied challenges for the post holder in a field where solutions can make a real difference to patients' lives.
Main duties of the job
This post is suitable for a postdoctoral research fellow and is an exciting opportunity for a scientist with a flair for applying machine and deep learning techniques to real-world clinical problems. The Machine Learning for Radiology Scientist will be working on a programme whose aims are to develop enhanced readouts from radiological images by the application of state-of-the-art machine learning techniques. These readouts will be used by clinicians managing the treatment of cancer patients, and by scientists developing and evaluating novel therapies. This post, while focussing principally on image analysis, is at the interface of radiology and multiple other sources of patient data such as genomics and outcome data and will involve the study of both rare and common cancers. This will provide interesting and varied challenges for the post holder in a field where solutions can make a real difference to patients' lives.
About us
The Royal Marsden NHS Foundation Trust is a world-leading cancer centre. Our role is to offer our patients the best cancer care available anywhere in the world, and to continue to make a global contribution to finding better ways of diagnosing and treating cancer. We employ over 4,500 staff in a diverse range of careers including nursing, medical, science, radiography, pharmacy, occupational therapy, finance and administrative services. We have two hospitals - one in Chelsea, London, and one in Sutton, Surrey - as well as a Medical Daycare Unit in Kingston Hospital.
At The Royal Marsden, we deal with cancer every day, so we understand how valuable life is. When people entrust their lives to us, they have the right to demand the very best. That's why the pursuit of excellence lies at the heart of everything we do.
At the heart of the hospital is our dedicated team. We offer a stimulating and dynamic working environment, a wide range of staff benefits, learning and development opportunities and clear career pathways. There are opportunities to work flexibly across a range of areas and specialities and we welcome flexible working requests from point of hire to support employees work life balance. We are looking for employees who aspire to excellence, share our values and can play a crucial role in our on-going achievements.
Job description
Job responsibilities
For further information on this role, please see the attached detailed Job Description and Person Specification
- Use image processing libraries like ITK, pyRadiomics, to manipulate medical images, compute radiomic features and apply pre-processing methods (normalization, resampling, filtering).
- Use machine learning and deep learning to develop algorithms that can be used with radiological images and other data for tumour detection, characterisation, response to treatment and prognostication.
- Initiate and develop relevant collaborations, both internally and externally, to perform research in the area of data integration between imaging and omics disciplines.
- Develop skills to design analysis protocols in collaboration with clinician scientists and statisticians.
- Work with trial managers, clinician scientists, the principal investigators and statistics department to produce and analyse results of clinical and translational research. Attend machine learning and statistical workshops and courses to develop analytical skills.
- Understand academic best practice and play an active role in the curation of clinical research data.
- Prepare and present abstracts, posters and oral presentations of clinical trial and research data at local, regional and international meetings.
- Conduct literature searches and preparation of systematic review, meta-analyses and traditional review.
- Learn how to peer-review submitted manuscripts for journals, in conjunction with colleagues, and how to critique the scientific literature.
- Prepare manuscripts for publication of completed research projects in peer-reviewed journals.
- To identify sources of funding and prepare grant applications to public/charitable funders or industry partners.
- To contribute to the BRC training and education programme in digital imaging and supervise research students in this field.
- Support the development of a world-leading clinical/translational research portfolio within the BRC and contribute to the writing of the annual report.
- Through the BRC, develop an understanding of clinical research infrastructure in the UK.
Job description
Job responsibilities
For further information on this role, please see the attached detailed Job Description and Person Specification
- Use image processing libraries like ITK, pyRadiomics, to manipulate medical images, compute radiomic features and apply pre-processing methods (normalization, resampling, filtering).
- Use machine learning and deep learning to develop algorithms that can be used with radiological images and other data for tumour detection, characterisation, response to treatment and prognostication.
- Initiate and develop relevant collaborations, both internally and externally, to perform research in the area of data integration between imaging and omics disciplines.
- Develop skills to design analysis protocols in collaboration with clinician scientists and statisticians.
- Work with trial managers, clinician scientists, the principal investigators and statistics department to produce and analyse results of clinical and translational research. Attend machine learning and statistical workshops and courses to develop analytical skills.
- Understand academic best practice and play an active role in the curation of clinical research data.
- Prepare and present abstracts, posters and oral presentations of clinical trial and research data at local, regional and international meetings.
- Conduct literature searches and preparation of systematic review, meta-analyses and traditional review.
- Learn how to peer-review submitted manuscripts for journals, in conjunction with colleagues, and how to critique the scientific literature.
- Prepare manuscripts for publication of completed research projects in peer-reviewed journals.
- To identify sources of funding and prepare grant applications to public/charitable funders or industry partners.
- To contribute to the BRC training and education programme in digital imaging and supervise research students in this field.
- Support the development of a world-leading clinical/translational research portfolio within the BRC and contribute to the writing of the annual report.
- Through the BRC, develop an understanding of clinical research infrastructure in the UK.
Person Specification
Education/Qualifications
Essential
- Good honours degree or equivalent in a mathematical, scientific or computing discipline.
- A PhD or equivalent doctoral-level qualification in a relevant field.
Experience
Essential
- Experience of machine learning for image analysis.
- Competence in at least one scripting language (e.g., Python, R, shell script), at least one image-processing environment (e.g., MATLAB, IDL) and at least one object-oriented language (C++, Java, etc.).
- Experience of presenting complex information so that it is understandable to colleagues and a wider audience.
- Knowledge and/or prior experience with the git and dvc, for tracking ML experiments, registering and operationalizing ML models.
Desirable
- Experience of preparing work for publication in academic journals.
- Experience with survival, or time-to-event analysis.
Skills Abilities/knowledge
Essential
- Strong analytical and problem-solving skills, including the ability to select an appropriate methodology when analysing data.
- Excellent Data Analysis skills
- Report writing and written presentation skills.
Desirable
- Knowledge of MRI and/or other medical imaging techniques.
- Knowledge of basic elements of cancer biology.
Person Specification
Education/Qualifications
Essential
- Good honours degree or equivalent in a mathematical, scientific or computing discipline.
- A PhD or equivalent doctoral-level qualification in a relevant field.
Experience
Essential
- Experience of machine learning for image analysis.
- Competence in at least one scripting language (e.g., Python, R, shell script), at least one image-processing environment (e.g., MATLAB, IDL) and at least one object-oriented language (C++, Java, etc.).
- Experience of presenting complex information so that it is understandable to colleagues and a wider audience.
- Knowledge and/or prior experience with the git and dvc, for tracking ML experiments, registering and operationalizing ML models.
Desirable
- Experience of preparing work for publication in academic journals.
- Experience with survival, or time-to-event analysis.
Skills Abilities/knowledge
Essential
- Strong analytical and problem-solving skills, including the ability to select an appropriate methodology when analysing data.
- Excellent Data Analysis skills
- Report writing and written presentation skills.
Desirable
- Knowledge of MRI and/or other medical imaging techniques.
- Knowledge of basic elements of cancer biology.
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
