Project Data Manager
|Job Title:||Project Data Manager|
|Contact Name:||Adrienn Prezenszki|
|Job Published:||October 23, 2019 16:54|
My client based in Dunfermline, have an opportunity for an experienced Project Data Manager to join their team. You will be responsible for leading the strategy and delivery and completion of Data Management activities for core products according to the relevant guidelines and regulations. As a leader of data management projects, you will be a key contact for internal liaison between the Data Management/Clinical Operations team and other functional teams as well as external communications with third parties. In this role, you would also oversee innovative data strategies, systems and support in relation to AI projects.
A growing medical device company, operating on a global platform that specialises in the diagnosis, treatment and prevention of retinal diseases and disorders. With over 25 years’ experience within this sector to draw upon they are at the forefront of innovation. Placing high importance on work/life balance the company believe that professional and personal goals are of equal importance and provide an environment where both can be realised. A competitive salary and extensive benefits package are offered complementing a friendly and supportive company environment and valued employee ethos.
A competitive salary is offered backed by an extensive benefits package including 34 days annual leave (including bank holidays), company bonus, contributory pension, flexi-time, private health care and insurance schemes. The company believe their employees are their most valuable asset.
The successful candidate will need to have at least five to ten years clinical data management experience gained within medical devices or pharmaceuticals and be able to demonstrate an excellent understanding of Good Clinical Practice and Good Manufacturing Practice. A strong understanding of the clinical trial process and the accompanying regulatory requirements is also essential; alongside a key attention to detail and a highly organised nature. Prior working knowledge of clinical database, electronic data capture and clinical trial management systems is imperative.
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