Research Data Ops Engineer at Caristo Diagnostics
Oxford OX2 0HP, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

10 Jul, 25

Salary

0.0

Posted On

10 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Version Control, Research, Life Insurance, 3D, Regulated Industry, Mathematics, Image Analysis, Statistical Concepts, Python, Medical Technology, Data Governance, Physics, Aws, Linux Server, R, Linux System Administration

Industry

Information Technology/IT

Description

A fantastic opportunity has become available for a Research DataOps Engineer to join Caristo Diagnostics rapidly growing team, based at our Oxford headquarters.

SKILLS & EXPERIENCE REQUIRED

Essential

  • Background in research (academic and/or industry)
  • Degree in Physics or Mathematics or related discipline
  • Experience with unstructured and structured data pipelines including large image datasets
  • Knowledge of modern data warehousing and data lake technologies
  • Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods
  • Linux system administration
  • AWS and GCP administration
  • Experience with GPU cluster and Linux server administration

Desirable

  • PhD in medical image analysis
  • Working knowledge of the DICOM standard, volume reconstruction, 3D rendering techniques, statistical modelling
  • Experience with AI model training pipelines and architectures (transformers, diffusion models etc)
  • Understanding of fundamental statistical concepts (p-values, effect sizes and confidence intervals)
  • Experience with MLOps methodologies
  • Experience with version control (e.g. GitLab, DVC)
  • Experience with Data Governance in a regulated industry (GDPR, EU AI Act)
  • Experience translating research to product

The successful candidate will:

  • Have a can-do attitude
  • Have an understanding of the need to balance fast delivery and quality
  • Be comfortable in a fast-paced environment and embrace the challenge of changing requirements
  • Excellent communication and collaboration skills

Benefits:

  • Competitive salary (for Oxford location)
  • 25 holidays per year plus bank holidays
  • Enhanced pension contribution
  • Private medical insurance
  • Life insurance
  • Cycle-to-work scheme
  • Additional benefits for long-service

Why join Caristo:

  • Be part of a company at the cutting edge of medical technology, with the potential to save lives and revolutionise healthcare
  • Join a dynamic and growing team, with opportunities for personal and professional growth
  • Contribute to the development of groundbreaking products in a company poised for significant expansion
  • Enjoy a supportive and collaborative work environment, with a strong emphasis on innovation, quality, and impact

CARISTO DIAGNOSTICS IS COMMITTED TO DIVERSITY AND INCLUSION, AND ENCOURAGES APPLICATIONS FROM ALL QUALIFIED CANDIDATES, INCLUDING THOSE MAKING A STEP UP IN THEIR CAREER. IF YOU ARE PASSIONATE ABOUT MAKING A DIFFERENCE IN THE WORLD OF MEDICAL IMAGING AND MEET THE ABOVE CRITERIA, WE WOULD LOVE TO HEAR FROM YOU.

Applicants should request Caristo’s Candidate Privacy Notice for information as to how we will handle your personal data.

Responsibilities

Responsibilities include some or all of the following:

  • Design and build a secure Data Lake House infrastructure to support AI and Data Analytics Research
  • Manage Cloud/On-premises compute resources to achieve research objectives
  • Contribute to MLOps pipeline for translation of Research Algorithms to Product
  • Collaborate with researchers, academic partners, product team, and image analysts
  • Manage cohorts of test data according to GDPR and other data privacy regulations
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