GTL is a startup (Oxford University spinout) developing deep learning algorithms for image analysis to revolutionise precision medicine. GTL received a sizable seed stage investment from leading early stage investors in 2023. We grew from scratch to a team of 15 people, delivering commercial projects to some of the largest pharma and biotech companies in the world in less than a year. We are looking to continue our trajectory and develop novel algorithms and technologies to help positively impact patient lives.
We deliver on the basis of our exceptional, interdisciplinary team. As an early team member, you'll have the unique opportunity to help shape our journey and build on our principles of collaboration, focus, and invention.
This is the new era of AI - we are on a mission to improve our understanding of biology and drive better patient outcomes through enhanced tissue analysis.
We are looking for a Data Engineer to play a critical role in the development of new AI biomarkers for oncology.
This is a highly creative, fast-paced environment. Our teams are interdisciplinary, you will work alongside software, machine learning, and clinical science teams to build a rich interactive platform for the development and delivery of new AI tools.
We are an early stage company, you will have the opportunity to drive the strategic direction, lead on new projects and make an impact across the organisation. The successful candidate will be able to identify, build, and champion novel internal and externally facing tools across the company.
Lead on data engineering from ingesting, through validation to persistence and maintenance
Define data requirements and validation procedures
Process data from various sources into a combined, curated database
Interrogate data for sensitive information
Build out automated pipelines to reduce and compliment human-in-the-loop requirements.
Collaborate closely with machine learning scientists, software engineers and clinicians to deliver on new projects
Stay abreast of industry trends and standards in healthcare data
Proficient with Python, SQL, CSV, Excel
Experience working with Cloud Platforms, databases and APIs
Solid understanding of appropriate data formats and file types in data processing
Experience working both independently and as a part of a team environment
Experience using git or other version control software
Experience collecting requirements, writing proposals and managing projects
Degree in Computer Science, Engineering, or equivalent experience in science or engineering
Experience with GCP
Experience writing tests for data processing
Experience with healthcare or sensitive data
Experience working within a regulated environment
Familiarity with modern machine learning and AI methods
We primarily work remotely with a strong emphasis on efficient processes to ensure high-quality work across asynchronous teams. However, we recognise the importance of sharing knowledge and building relationships with one another and find this easier to do when we spend time together in-person in Oxford or London. Therefore, we host regular team days from these locations.
Exceptional candidates who are willing to regularly (~1/mo) travel to the UK for in-person meetings will be considered. This generally restricts us to candidates based within ~3 hour travel time to London.
As a team, we value:
Concise and engaging communication - we communicate clearly to work effectively in a remote setting.
Pride in high-quality work - we pay attention to detail and deliver to the highest standard.
A strategic approach - we think critically and creatively about complex issues. We identify the underlying patterns and leverage them to develop effective strategies
Collaborative co-creation - we are open to diverse perspectives, bounce ideas off of each other, and build upon each other's strengths.
We welcome all applications. We are committed to providing equal employment opportunities regardless of age; disability; gender; civil status; pregnancy or parental status; race; religion or belief; sex; sexual orientation or any other basis as protected by applicable laws.
This is an excellent opportunity to join a rapidly growing start-up and make a real impact in the field of medical imaging and AI. If you are passionate about design, engineering, and AI and have a proven track record to match, we would love to hear from you.
No agencies please.
Please note that when you submit an application, your data will be processed in line with our privacy policy.
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