Information Manager (18 Months Fixed Term)

Synlab
Basildon
2 weeks ago
Applications closed

Related Jobs

View all jobs

Information Manager (18 Months Fixed Term)

Product Manager

Data Engineering Manager

Data Manager (Azure & SQL)

Senior Pricing Manager

Master Data Manager

Job Title:Information Manager (18 Months Fixed Term)

Location:Basildon

Salary:£37,339 - £44,962 per annum

Job Type:Full-time, 18 Month Fixed Term Contract

SYNLAB UK & Ireland collaborates closely with clinicians, hospitals, occupational health providers, and clinical researchers to deliver comprehensive pathology services. We foster an inclusive and diverse workplace, recognising that a high-performing workforce is built on mutual respect and continuous professional development. Our open and collaborative culture ensures that employees at all levels are supported in their growth, with opportunities for learning, coaching, and career progression.

The Role:

As an Information Manager, you will play a key role in maximising the value of data within our Laboratory Information Management System (LIMS) and associated systems. By analysing and reporting on this data, you will support both the operational and clinical functions of the laboratory, ultimately improving patient care for our partner hospitals and organisations.

This role requires strong analytical skills and the ability to communicate complex and sensitive information to a wide range of stakeholders, from senior healthcare professionals and non-clinical managers to those with limited technical expertise. You will fully utilise our reporting database, Path Manager, to deliver insightful reports and analyses that inform decision-making across the organisation.

Key Responsibilities

Information Reporting & Leadership:

  • Lead the Information Reporting function, ensuring stakeholders have timely access to high-quality management information.
  • Develop and deliver insights from LIMS data to senior managers, laboratory leads, hospital consultants, and external parties.
  • Champion the use of LIMS data, promoting its development and utilisation across the organisation.

Compliance & Data Delivery

  • Ensure contractual, statutory, and compliance reporting requirements are met, delivering accurate data within agreed deadlines.
  • Generate ad-hoc and regular statistical reports from Path Manager.
  • Create bespoke reports and address data queries from consultants and healthcare practitioners.

Stakeholder Collaboration

  • Work directly with clinicians to understand and define their reporting needs, providing tailored reporting services.
  • Engage with laboratory and operational staff to ensure data is used effectively for clinical and research purposes.

Innovation & Quality

  • Enhance the content, presentation, timeliness, data quality, and accuracy of Path Manager reports.
  • Lead continuous training and development initiatives, promoting innovative data utilisation.

System Management & Development

  • Participate in product and application user groups, representing iPP and driving user requirement development.
  • Develop Path Manager training materials for all user groups, including clinicians, to improve LIMS data utilisation.
  • Support new customer onboarding by managing reporting requirements.
  • Oversee system upgrades, roll-outs, and lead User Acceptance Testing (UAT) for patches and new software.
  • Maintain Standard Operating Procedures (SOPs) for Path Manager and document solutions within the Quality Management System (Q-Pulse).
  • Liaise with suppliers for technical support.

Operational & Regulatory Compliance

  • Maintain a strong commercial and customer-focused approach to information services.
  • Manage staff effectively, ensuring operational efficiency.
  • Report incidents and adverse events to senior management.
  • Ensure LIMS systems comply with ISO 15189:2022 standards and other regulatory requirements.

Qualifications & Experience:

Essential:

  • A-Level or Degree equivalent qualification with IT/Statistical experience.
  • Strong working knowledge of information retrieval, reporting, and training.
  • Experience designing information solutions for clinical and operational managers.
  • Knowledge of Path Manager or similar laboratory reporting systems.
  • Project management experience.
  • Experience working in healthcare, diagnostics, or pathology services.
  • Experience working in a laboratory environment.

Desirable:

  • Experience with Path Manager.
  • Knowledge of data warehouse technology and data visualisation tools.
  • Experience in the commercial health sector.
  • Knowledge of the local health economy.

Why Join Us?

At SYNLAB UK & Ireland, we recognise that our staff are essential to our mission of making a positive impact on healthcare. We are committed to fostering a culture of continuous learning and career progression. Our leadership team actively engages with employees, ensuring an open and transparent working environment where feedback is valued.

Please note:We reserve the right to close this vacancy early if we receive a high volume of applications. If you do not hear from us within two weeks of applying, please assume your application has not been shortlisted on this occasion.

Please click theAPPLYbutton to send your CV and Cover Letter for this role.

Candidates with the relevant experience or job titles of; Information Manager, Data Manager, Data Analyst, Information Analyst, IT Manager, Information Reporting, IT Project Manager, Project Manager may also be considered for this role.

bXN0cm9ibG92YS42Mjk0MS4xMjI3MUBibHVldG93bi5hcGxpdHJhay5jb20.gif

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.