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. 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.
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. 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
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 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. 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. Apply link
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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. 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
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 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. 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. Apply link
#J-18808-Ljbffr
