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Clinical Data Associate South-Africa - all levels

Employer
Syneos Health
Location
Bloemfontein, Mangaung (ZA)
Salary
upon application
Start date
3 May 2019
Closing date
2 Jun 2019

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Job Details

Currently Syneos Health is looking to strengthen its team in South-Africa. We are looking for junior to senior Clinical Data Associates. The location of this position is Bloemfontein.

The Clinical Data Associate is responsible for assisting in carrying out all clinical data management activities required for complex clinical trials with high proficiency and by providing guidance to other Clinical Data Associates (CDAs).  The responsibilities of the Clinical Data Associate are:

  • Maintains awareness of the pertinent elements of contract and scope of work for assigned project(s) and communicates status updates to the Project Manager and/or Biometrics Project Manager as necessary.
  • Reviews and adheres to the requirements of study-specific Clinical Data Management Plans for assigned project(s).
  • Performs User Acceptance Testing (UAT) for data entry screens and edits, all different roles used in the study and Targeted Source Data Verification (SDV) configuration and matrices.
  • Receives and enters lab normal ranges.
  • Completes and submits Clinical Database Management System (CDMS)-specific access forms and/or spreadsheets.
  • Performs reviews of discrepancy (edit check) output and validation listings based on data entered into the clinical database. Based on this review, queries or applies self-evident corrections or other global rulings permitted in cases where queries are not required, per the Data Validation Specification and/or Data Management Plan (DMP) for the assigned projects. Resolves answered queries and re-queries where appropriate.
  • For paper studies, takes receipt of, and reviews, Data Clarification Forms (DCFs) that have been answered by sites and where appropriate, edits the CRF database accordingly. Submits copies of the DCFs to sponsors as necessary.
  • For paper studies, performs internal QC checks via listing output from database against CRFs and DCFs. Serves as QC Coordinator for paper studies.
  • For paper studies, ensures all CRFs and DCFs received are returned for filing in the Document Control Room per the Data Tracking Guidelines for the assigned projects.
  • For EDC studies, performs DM quality review and/or other internal QC checks as required per applicable electronic data capture (EDC) systems.
  • Creates electronic storage media per SOPs for EDC studies.
  • Participates in internal meetings and internal/external audits as required.
  • Files documentation in the Data Management Study File (DMSF).
  • Maintains proficiency in Data Management systems and processes through regular trainings (CDA Knowledge College).
  • Performs SAS mapping QC whereby discrepancies are noted on the SAS mapping test logs.
  • Coordinates the work of CDAs assigned to the project.
  • Provides training on data management activities and systems.
  • Provides project-specific training to other Clinical Data Associates (CDAs).
  • Ensures that data from external databases/datasets such as central and/or local laboratory data, electronic diary data, pharmacokinetic (PK) data, or Interactive Response Technology (IRT) are consistent with data in the clinical database. Uses the specified process to document and query any such discrepancies found with the appropriate party.
  • Completes tasks within timeframe by appropriately prioritizing multiple tasks within or across projects and adapts to timeline or priority changes by reorganizing daily workload. Proactively communicates to project team and management accurate estimates on time to complete tasks, availability to take on new assignments and resourcing conflicts. Minimizes rework by following study instructions, seeking understanding of assignments prior to performing task and anticipating the effect changes may have on data when issuing and resolving queries.
  • Runs data cleaning and/or status reports.
  • Creates and updates the SAE Reconciliation Plan.
  • Performs Serious Adverse Event (SAE) reconciliations.
  • Performs peer review to other CDAs and provides feedback.
  • Understand how data management interacts with other Data Operations teams (Safety, Medical Writing, Biostatistics, Clinical Programming, and Coding).
  • Performs QC of Data Dictionary for code lists
  • Creates ad-hoc data cleaning reports used to determine if a validated listing is required including creation of the specification for the validated listing (updates DVS with the listing requirements).
  • Performs post-migration testing on screens, edit checks, matrices and role changes as required.
  • Participates in customer and third party meetings distributing relevant information in advance, ensures minutes are promptly and accurately distributed to internal team for review and subsequent edits are applied in order to maintain established currency for sponsor distribution.
  • Reviews database design specifications (including configuration, data structures, annotated CRFs).
  • Designs and/or reviews CRF/eCRF including eCRF visit structure co-coordinating with team members responsible for the associated database design.
  • Provides input into the Data Validation Specification (DVS) including creation of edit checks for assigned forms including any post-production updates to the DVS and listings.
  • Project Data Manager (PDM) back up for specific activities (including attend sponsor’s meetings to provide updates).
  • Creation of Discoverer, BOXI, J-Review Reports.
  • Updates the Data Management Plan under the guidance of the PDM.
  • Supports PDM on updating documents (DMP, data import/export agreements) according to Trusted Process (TP).
  • Creates and updates the CRF/eCRF Completion Guidelines.
  • May fill-in the Data Transfer Request Form required for delivering the data to sponsor or vendor.

 

For these roles we are looking for colleagues with the following:

  • BA/BS degree in the biological sciences or related disciplines in the natural science/health care field.
  • Experience with DM practices and relational database management software systems preferred.
  • Oracle Clinical, Rave, or Inform systems preferred. Knowledge of clinical data, and ICH/Good Clinical Practices. Knowledge of medical terminology preferred.
  • Proficiency in navigating MS Windows, as well as use of MS Word, Excel, and email applications. Excellent speed and accuracy of keyboard skills.
  • Work experience in clinical research, drug development, data management, or other healthcare environment preferred.
  • Familiarity with medical terminology.
  • Excellent communication, presentation, interpersonal skills, both written and spoken, with an ability to inform, influence, convince, and persuade.
  • Good organizational, planning, and time management skills preferred. Ability to multitask under tight deadlines while providing attention to detail. Ability to be flexible and adapt to change. Ability to work independently as well as part of a multi-disciplinary team.

 

Are you interested to join us as a Clinical Data Associate? Please apply online and we are more than happy to receive your application.

 

About us:

Why Syneos Health? Join a game-changing company that is reinventing the way therapies are developed and commercialized. Created through the merger of two industry leading companies, INC Research and inVentiv Health, we bring together more than 24,000 clinical and commercial minds to create a better, smarter, faster way to get biopharmaceutical therapies into the hands of patients who need them most. Evolve in a global company that is always looking for ways to work smarter and more efficiently as the only fully integrated Biopharmaceutical Accelerator. You'll be supported with comprehensive resources based on today's emerging technologies, data, science and knowledge - instead of practices from the past. Teaming with some of the most talented professionals in the industry, you'll gain exposure and work in a dynamic environment to over-deliver and outperform.

A career with Syneos Health means your everyday work improves patients’ lives around the world.

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