Data Operations Analyst

Caristo DiagnosticsStamford, CT
Onsite

About The Position

Caristo Diagnostics is seeking a Data Management Analyst to join its rapidly growing global data operations team. This role, based in Stamford, CT, will involve working with colleagues in both the U.S. and UK. The primary focus will be on overseeing the data flow to and from customers and collaborators, ensuring data is managed and transferred in a timely and secure manner, and that all information flow complies with security and confidentiality laws and standards. The analyst will also be responsible for identifying and implementing opportunities to improve the efficiency of data management and flow. The ideal candidate will be motivated by working in an innovative healthcare start-up with a strong collaborative research and operations culture, and will share the company values of pushing boundaries, taking ownership, caring for each other, and acting with candor and professionalism.

Requirements

  • Degree in Computer Science, Information Systems, Data Science, Engineering, or equivalent practical experience.
  • Strong Python skills for automation, scripting, and data processing.
  • Knowledge of databases and modern information systems.
  • Experience using Microsoft Office applications, particularly Excel.
  • Understanding of data security principles and handling confidential information.
  • Excellent analytical and problem-solving skills
  • Strong attention to detail.
  • Excellent organisational and prioritisation skills .
  • Strong written and verbal communication skills.
  • Ability to explain technical concepts clearly to non-technical audiences.
  • Collaborative, adaptable, and customer-focused.

Nice To Haves

  • Experience with DICOM and medical imaging workflows.
  • Experience in healthcare, clinical research, or other regulated environments.
  • Knowledge of cloud platforms (AWS, Azure, or Google Cloud).
  • Familiarity with healthcare data standards (FHIR or HL7).
  • Understanding of data governance and data quality principles.

Responsibilities

  • Manage secure data transfers between internal systems, customers, collaborators, and third-party suppliers.
  • Configure and support secure access to data in line with operational, security, and compliance requirements.
  • Investigate and resolve data transfer and access issues, providing timely updates to internal and external stakeholders.
  • Develop and maintain Python scripts and automation to improve operational efficiency and support bulk data transfers.
  • Validate data to ensure it is accurate, complete, and fit for operational use.
  • Produce and maintain operational documentation and technical procedures.
  • Identify opportunities to improve processes, data quality, and service reliability.

Benefits

  • Competitive salary and benefits package
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