At a Glance
- Tasks: Join us as a Medical Imaging Data Engineer, ensuring quality and integrity of medical imaging datasets.
- Company: Ultromics is a pioneering AI company transforming cardiovascular diagnostics to save lives.
- Benefits: Enjoy flexible hours, hybrid work options, wellness incentives, and a generous learning budget.
- Other info: Collaborate with top healthcare professionals and contribute to life-saving innovations.
- Why this job: Be part of a mission-driven team tackling heart failure with cutting-edge AI technology.
- Qualifications: BSc/MSc in relevant fields, 3+ years experience, and proficiency in Python and cloud platforms required.
The predicted salary is between 36000 - 60000 £ per year.
Picture yourself at one of the world\'s most innovative companies, providing life-saving AI solutions that can make a real difference in helping to combat one of the world\'s biggest health burdens. Surrounded by teams and people who challenge you, support you, and inspire you to be extraordinary. Are you ready to join the fight against heart failure?
We are redefining Cardiovascular Medicine through transformational AI solutions and work alongside major collaborations such as Mayo Clinic and the NHS England, with one shared ambition, to save lives.
Ultromics is a global leader in AI-powered cardiovascular imaging diagnostics, transforming how heart disease is detected, assessed, and managed. Spun out from the University of Oxford, UK and built on a decade of world-leading research, Ultromics is redefining echocardiography with solutions that deliver actionable insights to clinicians and healthcare systems.
Our unique cloud SaaS platform leverages advanced FDA cleared AI diagnostics to unlock complex cardiovascular conditions, including heart failure, cardiac amyloidosis, and more. We have established a world-class clinical evidence base with over 25 peer-reviewed publications, global collaborations with leading academic institutions and healthcare providers, and pivotal partnerships with life sciences organizations focused on drug development and commercialisation.
Ultromics is backed by some of the world\'s most influential healthcare and technology VC investors, including Google Ventures (GV), Optum Ventures (UnitedHealth Group), Blue Venture Fund (Blue Cross Blue Shield), and other leading U.S. and U.K.-based funds. These strategic partnerships accelerate our access to healthcare systems, payers, and life sciences organisations, and support our ambition to reshape cardiovascular care on a global scale.
Ultromics is one of the first AI echocardiography solutions to achieve Category III CPT reimbursement from CMS in the U.S., unlocking a scalable commercial pathway and accelerating adoption in routine clinical care. Our growing product portfolio includes tools for disease detection, disease progression assessment, and treatment eligibility evaluation.
We are now expanding our reach, integrating into major healthcare systems and advancing partnerships with life sciences, pharma, and medtech companies to support drug trials and post-market surveillance. Our platform is poised to become the standard in AI-driven cardiovascular diagnostics, enabling better outcomes for patients and more efficient care delivery for providers.
Why Join Us?
- Be part of a mission-led company tackling one of the world\'s biggest health challenges: heart failure
- Contribute to cutting-edge AI technologies backed by robust research, regulatory clearances, and reimbursement pathways
- Collaborate with a passionate, multi-disciplinary team of clinicians, scientists, engineers, and commercial experts
- Work at the intersection of healthcare, AI, and medical imaging with opportunities to shape the future of diagnostics
- Lead in the design, development, and maintenance of large-scale data processing pipelines (data anonymization, normalization, and rejection of incorrect data).
- Facilitate the implementation of data curation pipelines (for instance data selection, data filtering and sharing of filtered and selected data across teams) for batch data processing.
- Lead the design and implementation of scalable and secure medical imaging data (and associated metadata) storage and access solutions, optimised for machine learning workflows and AI model lifecycle.
- Maintain and update, as necessary, the data storage and access solutions.
- Optimise solutions for large data volumes (100s of thousands).
- Ensure data quality, integrity, security, and compliance with governance policies.
- Develop and maintain documentation for data infrastructure and processes.
- Implement data testing and validation procedures.
- Take ownership of data receiving, cleaning and curation from external partners into Ultromics storage, and quality control the transferred data.
- Organise and handle structured and unstructured formats from multiple sources (clinical sites, databases, products, R&D).
- Act across Engineering teams to ensure high quality product development and design transfer.
- Drive improvements to Engineering processes.
- Provide a technical sounding-board for solution concepts for product, service and engineering teams.
- Facilitate metric driven decision making across Engineering, particularly on technology data application.
- Follow good information governance practice throughout this job role and ensure compliance with Ultromics\' information security and data protection policies in all applicable assigned tasks.
- 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.
- BSc or MSc degree in Mathematics, Computational Sciences, Computer Science, Engineering or a related field, or equivalent experience.
- 3+ years of experience or equivalent in the field.
- Proficiency in programming (Python at least required)
- Proficiency with relational and non-relational databases.
- Proficiency with cloud platforms e.g., Azure, AWS, GCP.
- Proficiency with version control systems, e.g. Git.
- Demonstrable experience managing high-volume structured and unstructured data and associated metadata.
- Familiarity with data pipeline tools, e.g. Apache Airflow.
- Knowledge of distributed data systems, e.g., Hadoop, Spark.
- MSc in relevant area or equivalent experience.
- Proficiency with CI/CD practices
- Understanding of DICOM standard.
- Demonstrable experience managing high-volume medical imaging data and associated metadata.
- Background in supporting data for AI/ML applications.
- Familiarity with MLOps tools and frameworks, e.g. MLflow.
- Flexible working hours between 7am-7pm
- Hybrid working options
- Bonus scheme
- PMI
- Life assurance
- Company-wide events
- Two additional paid Company holidays in December (if they fall on Monday-Friday)
- Wellness-incentive benefit
- 5% company pension contribution
- Employee referral reward
- Generous personal learning budget on our online learning marketplace, Learnerbly
- Cyclescheme
- A well-stocked kitchen with free snacks - and great coffee!
- We start with compassion; We do this by communicating with empathy and welcoming different opinions and experiences. This means we can better identify and leverage each other\'s strengths and talents to deliver. We are inclusive and are always mindful of our colleagues\' wellbeing.
- We spark creativity; We do this by being adventurous, curious and innovative in spirit. Whilst also helping each other to evolve and progress. This means we question the status quo and, by doing so, shape our business and influence the field of science and healthcare.
- We show courage; We do this by stepping out of our comfort zone, welcoming challenges and encouraging feedback at all times. This means we are relentless in our pursuit of excellence to grow a progressive, responsible and transformational culture.
- We stay connected; We do this by relying on the increasingly connected globe to unleash learning support and teamwork from anyone and anywhere.This means we collaborate with healthcare professionals, patients and partners to stay ahead of the curve. We depend on each other and grow together as one team.
- We serve our customers; We do this by honouring our commitments, listening and responding to our internal and external customers\' needs. This means we are a trusted partner in the support of advancing healthcare in Echocardiography, support each other\'s needs and make a meaningful contribution to people\'s lives.
Join us and help change the future of heart health - making cardiovascular disease more detectable, treatable, and survivable for patients everywhere.
Your Role
We are seeking a highly detail-oriented Medical Imaging Data Engineer to join our Product Development team. This role is critical to ensuring the quality, integrity, and readiness of medical imaging datasets (DICOM and associated metadata) for AI development, validation, and regulatory submissions in the medical device sector. You will work closely with AI engineers, product managers, software developers and clinical collaborators to curate, validate, process and manage imaging datasets, supporting the development of high-performing, compliant AI medical devices.
This role will contribute at both high and detailed levels to help team enhance the performance of our products. You will consult with engineering managers and teams to establish consistency in how our data should inform software performance and identify opportunities for performance improvement, and to offer implementation guidance where possible. You will be an excellent communicator, highly diplomatic, process-oriented, and always on the lookout for new approaches to both testing and data leadership. This role has a significant impact on the health of the Ultromics\' products as well as the success of development and testing within the company.
Your Responsibilities
Your skills and experience
We are committed to promoting work-life balance and offer a range of benefits to encourage this, including:
Medical Imaging Data Engineer employer: Ultromics
Ultromics is an exceptional employer, dedicated to transforming cardiovascular care through innovative AI solutions. With a strong emphasis on work-life balance, flexible working hours, and a supportive culture that fosters creativity and collaboration, employees are empowered to grow and make a meaningful impact in the fight against heart failure. The company offers generous benefits, including a personal learning budget and wellness incentives, making it an attractive place for professionals looking to advance their careers in a mission-driven environment.
StudySmarter Expert Advice🤫
We think this is how you could land Medical Imaging Data Engineer
✨Tip Number 1
Familiarise yourself with the DICOM standard and medical imaging data management. Understanding how to handle and process this type of data will give you a significant edge in discussions during interviews.
✨Tip Number 2
Showcase your experience with cloud platforms like Azure, AWS, or GCP. Be prepared to discuss specific projects where you've implemented data storage solutions optimised for machine learning workflows.
✨Tip Number 3
Highlight your proficiency in programming, especially Python, and any relevant tools like Apache Airflow. Being able to demonstrate your technical skills through examples will make you stand out.
✨Tip Number 4
Network with professionals in the AI and medical imaging fields. Engaging with communities on platforms like LinkedIn can provide insights into the company culture and potentially lead to referrals.
We think you need these skills to ace Medical Imaging Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience and skills that align with the Medical Imaging Data Engineer role. Focus on your proficiency in programming, data management, and any experience with medical imaging data.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for AI in healthcare and your understanding of Ultromics' mission. Mention specific projects or experiences that demonstrate your ability to contribute to their goals.
Highlight Relevant Skills:In your application, emphasise your technical skills such as proficiency in Python, experience with cloud platforms, and familiarity with DICOM standards. These are crucial for the role and should be clearly stated.
Showcase Collaborative Experience:Since the role involves working closely with various teams, include examples of past collaborative projects. Highlight your communication skills and how you’ve successfully worked in multidisciplinary teams.
How to prepare for a job interview at Ultromics
✨Understand the Role
Make sure you have a solid grasp of what a Medical Imaging Data Engineer does. Familiarise yourself with the specific responsibilities mentioned in the job description, such as data processing pipelines and DICOM standards. This will help you articulate how your skills align with the role.
✨Showcase Relevant Experience
Prepare to discuss your previous experience managing high-volume structured and unstructured data. Highlight any projects where you've worked with medical imaging data or AI applications, as this will demonstrate your capability to handle the tasks required by Ultromics.
✨Demonstrate Technical Proficiency
Be ready to talk about your programming skills, particularly in Python, and your familiarity with cloud platforms like Azure or AWS. You might be asked technical questions, so brush up on your knowledge of data pipeline tools and version control systems.
✨Emphasise Collaboration Skills
Since the role involves working closely with various teams, highlight your ability to communicate effectively and collaborate with others. Share examples of how you've successfully worked in multidisciplinary teams, as this aligns with Ultromics' values of teamwork and connection.