About Ultromics Ultromics is a global health technology firm which provides autonomous echocardiography analysis through innovative AI solutions empowering physicians to make fast, accurate decisions when diagnosing cardiovascular disease.
We have developed EchoGo, the world’s first autonomous echocardiography service which provides cloud-based artificial intelligence services to support cardiac imaging diagnosis without any variability or need to touch software.
Our technology was born at the University of Oxford and built in partnership with the NHS, and has since raised over £20 million to help improve patient care, and bring diagnostic quality and resource savings to hospitals. Cardiovascular disease is the leading cause of mortality, with an estimated 17 million deaths each year. For more information about Ultromics - http://www.ultromics.com/
Job Purpose As a Deep Learning Research Scientist, you will develop novel AI-based solutions for automated analysis of medical images. You will work within the technical development team to create solutions to meet new and current product requirements using deep learning, computer vision, mathematical, statistical and machine learning methods. You will draw on your expertise of deep learning, mathematical research and algorithmic development to keep the company at the forefront of ground-breaking research.
Key Duties & Responsibilities Independently work to solve research problems. Developing new algorithms and computational tools to solve research problems. Ensure you keep up to date with the latest advances in deep learning and medical imaging and utilise these new techniques in your research. Develop tools to be used in assisting with R&D workflow. Review research code created by other team members. Work with Head of Technical Development to identify future research directions. Work with development team to assist deployment of research code into production Reviewing documents, designs, and colleagues’ code and providing constructive feedback. Write up research papers for the purposes of publication, and abstracts to present at international conferences This list of duties is not exhaustive and the post holder may be asked to carry out other duties through discussion with their line manager.
Education/Qualifications Essential: Doctorate in Machine Learning, Image analysis, AI, computer science or other mathematical/scientific background.
Desirable: Background in medical imaging. Evidenced by certificates.
Skills and abilities Essential: Strong proficiency with scientific programming languages such as Python, MATLAB, Julia, etc. Experience with Git or other collaborative version control tools. Ability to manage and process large datasets. Strong presentation, writing and communication skills including a clear publication record. Analytical skills - ability to structure and process qualitative or quantitative data and draw insightful conclusions from it. Good organisational and project management skills. Works effectively with others, contributes strongly, recognises the value of differing contributions, supportive and collaborative.
Desirable: Experience with SQL or other database language. Evidenced by CV, interview.
Knowledge Essential: Extensive knowledge of deep learning techniques including CNNs, VAEs and unsupervised learning methods. Experience creating deep learning methods for image and video segmentation. Knowledge of mathematical methods, mathematical optimisation, statistical methods. Experience with processing medical images and DICOM. Knowledge of image processing and computer vision techniques.
Desirable: Deep learning methods particularly applied to medical imaging and/or video data. Experience manipulating and applying probabilistic neural networks. Evidenced by CV, interview.
Experience Essential: Some industrial or postdoctoral experience in applying deep learning to different problems.
Desirable: Software development experience in an industrial role. Experience using cloud platforms such as Google Colab, Microsoft Azure or Amazon AWS. Evidenced by CV, interview.
Personal qualities Essential: Ability to work to tight deadlines. Strong intellectual curiosity and passion to apply innovative ideas to solve real-world problems. Adaptability/flexibility - adjusts quickly to changing priorities and conditions. Evidenced by CV, interview.
Our Benefits Ultromics is committed to promoting work-life balance and offers a range of benefits to encourage this, including: Flexible working hours between 7am-7pm Remote working days Bonus scheme Share option scheme PMI Life assurance Two additional paid Company holidays in December Fitness-incentive benefit (receive £250 back every 6 months for fitness-related activities outside the home) Company-wide events (COVID-permitting) 5% Company pension contribution Sabbatical policy Employee referral reward Cyclescheme
Equal Opportunities We are an equal opportunities employer and positively encourage applications from suitably qualified and eligible candidates. No applicant or member of staff shall be discriminated against because of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
Information Security Compliance By applying for this position, you are confirming that you will be required to comply with Ultromics’ Information Security Policies if you are hired for this role.
Data Protection Compliance By applying for this position, you are confirming that you understand that you will be required to comply with Ultromics’ Data Protection Policies and privacy management framework, if you are hired for this role.