ASSOCIATE DATA MANAGER

November 6, 2019

Closing date for applications: 30 November 2019

                                                                                                                                                                        

An exciting range of career opportunities exists in our expanding clinical development organisation. MAC Clinical Research manages clinical trials for the pharmaceutical industry and we are seeking to appoint an Associate Data Manager to join our biometrics team. We are happy to be flexible with regards to location in the UK, so any of our clinical site locations may be considered.

 

This role would suit candidate with background or keen interest in life sciences, medicine or pharmacy.

 

The focus of this role is to provide Clinical Data Management support to Clinical Operations and/or study projects, Clinical Data Management and Biostatistics functions both internal to MAC and with associated Vendors. The Associate Data Manager will also act as a central point of contact, creating and updating as required, source documents for all studies including studies of Late phase and the Early Phase Unit ensuring the source documents capture the study Protocol and eCRF requirements are correct according to MAC internal processes.

 

KEY RESPONSIBILITIES:

  • Creation of study specific source document templates that will be utilised to capture clinical source data.

  • Provide general Data Management support to Clinical function, Clinical Data Management function and Biostatistics function participating in the review of Clinical research documents (e.g. Protocols, Case Report Forms, Reports and Statistical Analysis Plans).

  • Assist with development and management of Biometrics documentation, including Data Management Plan (DMP), maintain DMP throughout lifecycle of study project and ensure DMP is followed according to study design and requirements.

  • Assist the Data Manager with general data management tasks, including: eCRF development, validation and UAT, reconciliation of electronic data transfers, medical coding

 

KEY REQUIREMENTS:

  • Able to interpret and understand clinical protocols

  • Excellent oral and written communication skills

  • Self-motivated with the ability to work with minimal supervision

  • Demonstrates a sound knowledge of ICH-GCP

  • Strong planning, organisational and time management skills

  • Strong analytical and problem-solving ability

  • Understand how to capture required data

  • Able to meet deadlines and escalate where appropriate

  • Understanding and experience of eCRF data capture systems (desired)

  • Highly numerate with developed computer skills and logical, structured approach to assigned activities

  • Working knowledge of clinical database applications, which may include Medrio, Oracle Clinical, Medidata, SAS (desirable)

  • Experience with working on Phase I- IV study trials within the medical device and/or pharmaceutical industry (desirable)

  • An awareness of Medical Dictionary Coding (optional)

 

BENEFITS:

  • Competitive salary in keeping with pharmaceutical industry standards and will reflect experience

  • Free onsite parking

  • 25 days annual leave plus bank holidays (increasing in increments to 30 days after 6 years long service)

  • Your birthday off work

  • Regular hours (including Christmas Day, Boxing Day and New Years Day off)

 

MAC Clinical Research invites applications from highly motivated candidates, with a desire to achieve their full potential. You will be working with an organisation that sees you as an investment and is keen for you to achieve your career aspirations.

 

Please note that if we receive a high volume of applications this date may be brought forwards.

View the Job Description

 

Salary: Competitive + Negotiable £                                                Apply Now                                                                                                                                                                                           

 

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