Senior Clinical Data Analyst

Parexel; Bloemfontein; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Une entreprise leader dans le secteur de la santé recherche un Senior Clinical Data Analyst pour gérer des opérations de validation de données cliniques. Le candidat idéal possède une solide expérience dans la gestion des données cliniques, démontrant un engagement à améliorer les résultats pour les patients. Le poste offre une chance de diriger des équipes globales et de gérer des projets clés de la phase de démarrage à la clôture, le tout dans un environnement collaboratif et prometteur.

Benefits

Formation continue

Travail flexible

Assurance maladie

Qualifications

• Diplôme de premier cycle et/ou expériences en industrie pertinentes.
• Connaissance avancée des systèmes de gestion des données cliniques.
• Expérience avérée dans le secteur de la recherche clinique.

Responsibilities

• Responsable de la validation des données et nettoyage durant la conduite et le verrouillage de la base de données.
• Conduire des tests d'acceptation des utilisateurs sur les configurations de base de données cliniques.
• Assurer la conformité aux procédures opérationnelles standard et aux lignes directrices ICH/GCP.

Skills

Data Management

Data Validation

Clinical Data Management Systems

Problem Solving

Communication

Negotiation

Time Management

Education

Bachelor's degree in a relevant field

Tools

SAS

SQL

Microsoft Office

Power BI

Job description

When our values align theres no limit to what we can achieve.

At Parexel we all share the same goal to improve the worlds health. From clinical trials to regulatory consulting and market access every clinical development solution we provide is underpinned by something special a deep conviction in what we do.

Each of us no matter what we do at Parexel contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally we do it with empathy and were committed to making a difference.

What this Senior Clinical Data Analyst Role entails :

The Senior Clinical Data Analyst (SCDA) independently performs / lead and / or coordinate all clinical data validation activities on assigned projects commensurate with experience and / or project role with 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. All tasks should be performed in accordance to corporate quality standards SOPs / Work Instructions / Guidelines ICHGCP and / or other international regulatory requirements. SCDA acts as a subject matter expert on DM Systems / processes providing technical support and expert advice to internal and external sponsors. The SCDA may act as a backup to or fulfill the Data Management Lead role where required.

Experience & Knowledge you will require to qualify for this role :

Advanced technical aptitude with awareness / potential prior experience in Microsoft Office Products (strong computer skills).

Advanced understanding of data management processes and data validation flow (e.g. Data cleaning DB lock).

Good understanding of relevant ICHGCP Guidelines local regulatory requirements and Parexel SOPs and study specific procedures.

Advanced knowledge of Clinical Data Management Systems and proficiency in at least one system (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 startup conduct and closeout.

Advanced knowledge of Database setup 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 Requirements for this role :

Bachelors degree and / or other medical qualifications or relevant industry experience.

Certification or involvement in a professional society or organization is recommended.

Skills Required :

Proven ability to lead and collaborate with global and crossfunctional 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 problemsolving 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.

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.

Strong sense of accountability relative to Key Accountabilities in Job Description.

Innovative ability to define strategies to improve efficiency when performing the Data Management tasks.

Written and oral fluency in English.

DaytoDay / Key Accountabilities of this Role :

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

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

Study StartUp 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 and tracking 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

Maintain training compliance as per Job Roles assigned including OntheJob training.

Address training needs as per Development Goal / s identified.

Provide relevant onthejob 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 operationsrelated project variance in a timely manner based on DM operational metrics / labor hour reports provide input on Changes in Scope needed.

Required Experience :

Senior IC

Key Skills

Databases,Data Analytics,Microsoft Access,SQL,Power BI,R,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics

Employment Type : Full-Time

Experience : years

Vacancy : 1

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