Data and Systems manager
- Experience Level
Compass life Sciences are delighted to be partnered with one of the largest and most successful consumer healthcare brands in the world, supporting the search for an experienced Data Management & Systems Manager
Our client are leaders in each market they operate, and they have household brands across OTC Medicine, Nutrition, Cosmetics, and Devices. This is an incredible opportunity to play a highly visible transformative role, in one of the most forward thinking and engaging businesses in the UK.
To provide expert Data Management input across several studies including but not limited to data collection, standards, protocol, DMP, topline and CSR using consumer insights and external focus to meet business needs
To be the primary point of contact with vendors for data ownership
To work efficiently and effectively with outsourcing partners and study teams ensuring high quality deliver on time to agreed costs
Part of the Medical Sciences team and reports to Head of Statistics and Data Management, this role will be intrinsically involved in deciding how consumer and business needs are met by generating, moving, storing and re-using data for stakeholders to be able to make decisions.
Provides technical expertise across Hygiene and Health category products and initiatives globally through an understanding of clinical, regulatory and outsourcing requirements working alongside Clinical Operations colleagues.
The role is accountable for data excellence; collection, movement and storage, in a team setting to design and deliver the innovation portfolio
Provide expert input to the project evidence plan ensuring robust data management activities are integrated into the project (e.g. innovative approaches such as data capture techniques to achieve claims and end points).
Collaborate and integrate expertise from clinical research and Medical Affairs to incorporate clinical endpoints, devices, general approaches and PROs within clinical development protocols
Assist in efforts to identify, integrate, and/or develop valid clinical outcome assessments (PRO/COA) measurements for use in clinical programs.
Compliance with necessary regulations for quality and disclosure.
Ensure the clinical standard operating procedures are regularly reviewed, implemented and adhered to
Input for relevant standard operating procedures.
Ensure best practices and consistency within the team.
Optimise outsourcing of activities associated with evidence generation, including support to other Evidence Generation& Clinical Research teams considering costs, quality and time constraints.
Evaluate performance of vendors.
Attend governance meetings with (preferred) vendors across studies.
Embed ALCOA principles
Influencing multiple stakeholders in a matrix organisation using and presenting Data Integrity and outsourcing concepts in layman's terms.
Risk based approach to the delegation of responsibilities to external vendors, maintaining accountability for oversight.
Effective time-management to achieve optimal balance between gaining insight, generating high value evidence and maintaining oversight.
Ensuring pre-agreed timelines are met with quality.
Managing conflicting priorities between project activities with evolving and often challenging timelines.
Creating and maintaining good working relationships with external vendors.
Data Management expertise and experience in a Consumer Healthcare environment or similar around data ownership and data integrity
Interest in and experience of various systems facilitating data capture, movement and storage
An external focus and development mindset to ensure a knowledge and understanding of recent developments to ensure RB gets to and remains in a competitively advantageous position alongside data
Please contact Gareth Hughes-Jones at firstname.lastname@example.org or +44(0) 2392 316 034 for further information.
Compass Associates Ltd. trading as Compass Life Sciences are acting as a Recruitment Consultancy for this permanent vacancy; we offer £250 worth of Amazon Vouchers for each successful recommendation.
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