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Data Engineer


Published: Sat, 30 Nov 2024 06:50:58 GMT

Data Engineer at Ground Truth Labs

Ground Truth Labs (GTL) is a dynamic startup, spun out of Oxford University, that specializes in developing cutting-edge deep learning algorithms for image analysis to revolutionize precision medicine. In 2023, GTL received a significant seed stage investment from top early-stage investors. In less than a year, we have grown from a small team to a team of 15, delivering successful projects to some of the world’s largest pharma and biotech companies. We are seeking a Data Engineer to join our team and help us continue our trajectory by developing innovative algorithms and technologies that positively impact patient lives.

At GTL, our success is driven by our exceptional interdisciplinary team. As an early member of our team, you will have a unique opportunity to shape our journey and contribute to our core values of collaboration, focus, and innovation.

This is a new era of AI, where we are dedicated to enhancing our understanding of biology and driving better patient outcomes through advanced tissue analysis.

Your Role

As a Data Engineer, you will play a critical role in developing new AI biomarkers for oncology. In this fast-paced, creative environment, you will work alongside software, machine learning, and clinical science teams to build an interactive platform for the creation and delivery of groundbreaking AI tools.

As an early-stage company, you will have the chance to drive our strategic direction, lead new projects, and make a significant impact across the organization. The ideal candidate will identify, build, and promote innovative internal and external tools.

Your Responsibilities

– Lead data engineering processes from ingestion and validation to persistence and maintenance
– Define data requirements and validation procedures
– Process data from various sources to create a curated database
– Analyze data for sensitive information
– Build automated pipelines to reduce and complement human-in-the-loop requirements
– Collaborate closely with machine learning scientists, software engineers, and clinicians to deliver new projects
– Stay up-to-date with industry trends and standards in healthcare data

Your Qualifications

Essential:

– Proficiency in Python, SQL, CSV, and Excel
– Experience with cloud platforms, databases, and APIs
– Solid understanding of data formats and file types in data processing
– Experience working independently and in a team environment
– Familiarity with git or other version control software
– Experience gathering requirements, proposing solutions, and managing projects

Nice to have:

– Bachelor’s degree in Computer Science, Engineering, or equivalent experience in science or engineering
– Experience with Google Cloud Platform (GCP)
– Experience writing tests for data processing
– Experience working with sensitive healthcare data
– Familiarity with modern machine learning and AI methods

Our Environment

At GTL, we primarily work remotely, with a strong focus on efficient processes to ensure high-quality work from asynchronous teams. However, we recognize the value of sharing knowledge and building relationships in-person, which is why we host regular team days in Oxford and London.

We welcome exceptional candidates who are willing to travel regularly (~1/month) to the UK for in-person meetings. Please note that this generally restricts us to candidates based within a ~3 hour travel time to London.

As a team, we value:

– Concise and engaging communication – we communicate clearly to effectively work 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, identifying underlying patterns and leveraging them to develop effective strategies
– Collaborative co-creation – we value diverse perspectives, bouncing ideas off each other, and building upon each other’s strengths

Equality

We welcome all applications and 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 protected by applicable laws.

Make an Impact

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.

Note: We do not work with agencies. When you submit an application, your data will be processed in line with our privacy policy.
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