Data Engineer
Description For Data Engineer
Ground Truth Labs (GTL) is an innovative Oxford University spinout that's revolutionizing precision medicine through deep learning algorithms for image analysis. Following a significant seed investment in 2023, the company has rapidly grown to a 15-person team, successfully delivering commercial projects to major pharmaceutical and biotech companies worldwide.
As a Data Engineer at GTL, you'll be at the forefront of developing new AI biomarkers for oncology. Working in a fast-paced, interdisciplinary environment, you'll collaborate with software engineers, machine learning scientists, and clinical teams to build a sophisticated interactive platform for AI tool development and deployment.
The role offers a unique opportunity to shape the company's strategic direction in a primarily remote working environment, with regular team meetings in Oxford or London. GTL values concise communication, high-quality work, strategic thinking, and collaborative co-creation.
Key responsibilities include leading data engineering processes, defining data requirements, building automated pipelines, and working with sensitive healthcare data. The ideal candidate will be proficient in Python, SQL, and cloud platforms, with experience in data processing and project management.
This position offers the chance to make a significant impact in medical imaging and AI while working with a rapidly growing startup. GTL provides a collaborative, inclusive environment committed to equal employment opportunities, making it an excellent opportunity for those passionate about using technology to improve patient outcomes.
Responsibilities For Data Engineer
- 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
- Stay abreast of industry trends and standards in healthcare data
Requirements For Data Engineer
- 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
Benefits For Data Engineer
- Equity
Jobs Related To Ground Truth Labs Data Engineer
