Senior Deep Learning Research Scientist

Location: Oxford

Temporarily remote
£60,000 – £70,000 a year
Full-time, Permanent

Posting date: 14/09/2020
Application deadline: 14/10/2020

Job Purpose

As a Senior Deep Learning Research Scientist, you will lead efforts in developing novel AI-based architectures towards the end goal of solving and building tools 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
  • Mentoring junior team members within research team, continuously developing your own technical skills and helping others to improve theirs.
  • 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
  • Discussing potential future research opportunities/collaborations with key stakeholders.
  • 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.

Person Specification



  • Doctorate in Machine Learning, Image analysis, AI, computer science or other mathematical/scientific background.


  • Background in medical imaging.

Evidenced by certificates.

Skills and abilities


  • 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 in both scientific journals and international conferences.
  • Good organisational and project management skills.
  • Works effectively with others, contributes strongly, recognises the value of differing contributions, supportive and collaborative
  • Analytical skills – able to structure and process qualitative or quantitative data and draw insightful conclusions from it.


  • Experience with lower level languages such as C++, Java.
  • Experience with SQL or other database language.

Evidenced by CV, interview.



  • 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.
  • Knowledge of image processing and computer vision techniques.


  • Deep learning methods particularly applied to medical imaging and/or video data.
  • Experience manipulating and applying probabilistic neural networks.
  • Experience with processing medical images and DICOM.

Evidenced by CV, interview.



  • 3+ years of industrial or postdoctoral experience in applying deep learning to different problems.
  • Experience managing large projects and driving them to a full solution.


  • 2+ years of direct software development experience including design and deployment of medical software.
  • Experience using cloud platforms such as Google Colab, Microsoft Azure or Amazon AWS.

Evidenced by CV, interview.

Personal Qualities


  • 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. Entry into employment and progression within employment will be determined only by personal merit and the application of criteria which are related to the duties of each particular post and the relevant salary structure. In all cases, ability to perform the job will be the primary consideration. 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.

If you’re selected for an interview and have special requirements due to a disability please let us know so that we can make any necessary adjustments.

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.

Posting date: 14/09/2020

Reports to: Head of Technical Development

Application deadline: 14/10/2020

Job Types: Full-time, Permanent

Salary: £60,000.00-£70,000.00 per year


  • Monday to Friday

Work remotely:

  • Yes

How to Apply

Fill in the form below, making sure you attach the following:

1) Your CV

Fields marked * are required.