Project Manager - Advanced Data Domains

Company

Square One Resources

Location

England, United Kingdom

Posted At

8/29/2025

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Description

Job Title: Project Manager - Advanced Data Domains

Location: UK/Remote

Start Date: September 2025

Day Rate: Up to £690 a day Inside IR35

Job Type: 6-month contract (with scope to extend)

Company Introduction

We are seeking a contract Project Manager with experience managing technical projects in advanced data domains.

You will lead a cross-functional team delivering an incremental event-driven data pipeline for the organisation, enabling continuous enrichment, retraction, and versioning of scientific data.

You’ll work with internal data engineers, ontologists, architects, data scientists, and taxonomy experts.

Your mission is to ensure that the BioMed Graph pipeline is delivered and integrated with consuming systems, achieving business and scientific goals.

Required Skills/Experience

Expert experience working as a technical project management experience delivering complex data engineering or scientific computing projects.
Strong familiarity with event-driven systems, streaming data platforms, and stateful transformations.
Experience working in biomedical or scientific data domains is highly preferred
Comfort navigating ambiguity and evolving requirements, particularly in a research-aligned agile environment.
Proven success working across cross-functional squads and communicating technical concepts to non-technical stakeholders.
Strong planning, prioritization, and risk mitigation skills in a hybrid Agile environment.
Excellent communication, documentation, and stakeholder engagement abilities.

Job Responsibilities/Objectives

Own project delivery across all phases—from planning and execution to risk mitigation and reporting—for the BioMed Graph platform.
Translate complex architectural requirements into a clear, deliverable roadmap.
Partner with domain experts and ontology owners to align technical delivery
Collaborate with technical leads to achieve incremental delivery.
Coordinate with quality teams on data integrity and assurance.
Manage integration points across tools e.g. Jira, Confluence

Nice to Have

Experience integrating machine learning outputs (e.g., relation predictions) into production knowledge graphs.