Job Description

Parexel are currently recruiting for Senior UAT/Clinical Data Analysts in South Africa.


In this role, the successful individuals will independently perform/lead and/or coordinate all clinical data validation activities on assigned projects, with a high degree of proficiency and autonomy. Further responsibilities shall include providing technical expertise and/or operational leadership regarding all DM operational activities (data cleaning matrices), processes and Data Management documents regarding data validation.


The SCDA acts as a subject matter expert on DM Systems/processes, providing technical support and expert advice to internal and external sponsors. You may act as a back-up to or fulfill the Data Management Lead role where required.

This will be a fully remote home-based position.

Key Accountabilities:

Data Validation (Cleaning)

Lead/Responsible for data validation (cleaning/review/reconciliation) activities during conduct and database lock (Primary CDA), e.g. query management, manual/SAS listing reviews and external vendor data reconciliation. Highlight issues/risks to delivery by understanding interdependencies - support mitigations as part of Risk Management Plan.

Data Management Documents/Plans (Trial Master File)

Perform and/or support the setup of DM documents and ensure proper documentation as per Standard Operating Procedures, ICH/GCP Guidelines.

Study Start-Up Activities and User Acceptance Testing (UAT)

Lead/perform user acceptance testing on clinical database setups. Review protocols and EDC Entry Screens if required. Provide input on the data management timelines and coordinate the DM operational activities during database set up, up to project close out.

Data Tracking and Entry

Track and review CRFs. Support data entry where required.

Project Quality Management & Compliance

Ensure compliance to Standard Operating Procedures, ICH/GCP Guidelines. Perform/lead functional QC activities on databases and/or patient data, as per business needs.

Training

Provide relevant on-the-job training to staff and project teams as appropriate. Act as Mentor for other clinical data analysts. Act as Subject Matter Expert regarding DM operational tasks/tools/ processes/ systems.

Process/Project Improvement

Develop, improve and implement project specific tools, including, but not limited to standard project directories and subdirectories, document file names and status reports that result in improved efficiencies.

Project Finance & Resource Support

Determine root cause of operations-related project variance in a timely manner, based on DM operational metrics/labor hour reports - provide input on Changes in Scope needed.

What we are looking for in this role

For every role, we look for professionals who have the determination and courage always to put patient well-being first. That to us is working with heart.

Skills:

Proven ability to lead and collaborate with global and cross-functional teams - ability to coordinate & prioritize tasks for the DM operational and programming teams (when) in the Primary CDA role. Ability to independently interact with Sponsor liaison to discuss data issues/project data validation requirements, as needed. Proven negotiation skills and ability to influence in order to achieve mutually beneficial results. Strong problem-solving skills and logical reasoning, including capability to make appropriate decisions in ambiguous situations, ability to conduct root cause analyses. Commitment to first time quality, including a methodical, analytical and accurate approach to work activities (attention to detail). Proven Time management and prioritization skills with a strong sense of urgency - in order to meet objectives. Advanced interpersonal, oral and written communication skills - using concise phrasing tailored for the audience with a diplomatic approach. Good presentation skills. Proven learning ability and knowledge sharing approach; swift understanding of technologies and new processes. A flexible attitude with respect to work assignments and new learning; ability to adjust rapidly to changing technical environments. Innovative - ability to define strategies to improve efficiency when performing the Data Management tasks. Written and oral fluency in English

Knowledge and Experience:

Advanced technical aptitude with prior experience in Microsoft Office Products. Advanced understanding of data management processes and data validation flow (e.g. Data cleaning, DB lock). Good understanding of relevant ICH-GCP Guidelines, local regulatory requirements and study specific procedures. Advanced knowledge of Clinical Data Management Systems (e.g. InForm, Rave, Veeva, DataLabs, ClinBase). Good understanding of Clinical Study Team roles within Data Management - awareness of DML activities e.g.: budget reviews, resource forecast, etc. Experience in clinical research industry. Advanced knowledge of medical terminology and coding dictionaries (e.g. MedDRA & WHODRUG). Advanced knowledge of Data Management Operational processes and tasks during study start-up, conduct and close-out. Advanced knowledge of Database set-up activities, including but not limited to Database Configuration Specifications and setup of Data Validation. Basic knowledge of SAS (programmed listings). Basic knowledge of Data standards (CDISC). Good understanding of financial principles/drivers for management of DM project financials with regards to forecasting and scope of work. Proven experience of leading virtual/global Data Management operational team/s to perform DB set up, data cleaning activities.

Education:

Bachelor's degree and/or other medical qualifications or relevant industry experience. Certification or involvement in a professional society or organization is recommended.

Who are Parexel

Parexel supports clinical studies across the full range of therapeutic areas, and we have longstanding partnerships with a vast client base.


We supported the trials of most of today's top 50 best-selling drugs, but equally we enable more niche drug developments that are critical to the well-being of many patients.

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