Associate Clinical Data Manager

AstraZeneca is an innovation-driven global biopharmaceutical company focused on the discovery, development and commercialization of prescription medicines, primarily for the treatment of cardiovascular, renal and metabolic, respiratory and immunological, oncological and rare diseases.  

In line with our firm commitment to training and developing exceptional talent, this person will join our Data Management department to learn and grow through active collaboration with our team. 

Conditions: 

Duration: 1 year 

Hours per day: Full time 

Location: Barcelona  

Focus area: 

Associate Clinical Data Manager - Intern is primarily responsible for providing Data Management support to the activities related to clinical studies. May work under direction of an experienced Clinical Data Manager. 

Training through practical experience:  

• Day to day responsibilities may include but are not limited to 

• Conducting manual data review for Clinical Data. 

• Issuing and closing queries based on manual data review requirements for each assigned study. 

• Generating metrics and reports for current state of study database. 

• Participating in project team meetings as necessary. 

• Provide work status to study Data Management team. 

• Reviewing local lab data  

• Adhering to Clinical Data Management processes and standards by using implemented systems. 

• Highlight potential and technical issues to the Study Data Management team. 

• Responsible for the reporting in CDM specified systems and types of deliverables, milestone achievements, risks and mitigations and data transfer agreements, and other study administrative needs.  

• Performs User Acceptance Testing of internal and external electronic Data Capture systems as required. 

• Provides support to the resolution of issues related to Clinical Data Management deliverables and inputting ideas to help resolve issues and contribute to continuous improvement. 

• Performs any CDM related ad-hoc requests from Line Manager or superior. 

If programming skills, under guidance, may support in the implementation and validation of SAS/Python/R/SQL programs or dashboard applications that process, analyze and report clinical trial data for review by clinical study teams.  

Requirements  

Essential 

• University or college degree in the life sciences or related subject, pharmacy, nursing, Biologist, or equivalent relevant degree such Mathematics, Statistics. Last year of a Master. 

• Languages: Fluent English (oral and written) 

• Attention to detail to ensure quality 

• Good verbal and written skills 

• Ability to work flexibly on simultaneous projects and proactively manage time to meet own deadlines. 

• Strong interpersonal skills and ability to communicate effectively in a global environment. 

• Good team player. 

 Desirable 

• Interest on clinical research and clinical trials 

• Interest on Clinical Data Management 

• SAS/Python/R/SQL or dashboard applications like PowerBI with programming experience in an academic setting  

• Knowledge of MS Office 

AstraZeneca is a company that promotes equal opportunities. AstraZeneca will consider all eligible persons, without discrimination based on disability, sex or sexual orientation, pregnancy or maternity/paternity period, race or origin (national or ethnic), age, religion or belief, identity of gender, marital or de facto partnership status and/or any other characteristic protected by law. 

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.