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Clinical Data Manager

Clinical Data Manager

MindSource TechnologiesBangalore
2 days ago
Job description

Description : 5 to 7 yrs

Work Mode : Hybrid (3 days in a week) / Onsite (for initial one or two months for training purpose from date of joining)

Work Location : White Field , Bangalore

Interview Process : 1st round - Virtual Tech Interview & 2nd Round ( Face to Face Technical interview @ ACL digital office {Whitefield / Bannerghatta })

CDM Mandatory Skills : End to end activities (Start, Conduct & Close), ECRF, Protocol Review, UAT testing, Data Cleaning, Discrepancy Management, Reconciliation

Job Description - Clinical Data Manager :

OVERVIEW :

The Clinical Data Manager (CDM) is an independent role responsible for supporting the study team and developing comprehensive study documentation, designing database specifications, and overseeing validation, maintenance / data cleaning, and closeout activities for clinical trial databases. The CDM is recognized as the platform expert, leveraging cutting-edge tools and technologies to provide continuous data insights and ensure the timely delivery of high-quality results for Sponsors. The CDM has a strong foundation in clinical data management, combined with the agility to adapt as processes evolve towards the integration of clinical data science.

KEY TASKS & RESPONSIBILITIES :

  • Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools.
  • Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
  • Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
  • Perform holistic data review and trending analysis via reporting and elluminate analytics to proactively identify issue, risks and develop mitigation strategies.
  • Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data.
  • Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s) / project manager.

Perform Query Management :

  • Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate Data Central for data cleaning strategy and oversight activities.
  • Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle.
  • Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program / report specifications, outputs, and elluminate Data Central with analytics modules.
  • Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness.
  • Collaborate and work as a team to ensure the deliverables are completed on time with high quality.
  • Ensure compliance with industry quality standards, regulations, guidelines, and procedures.
  • Other duties as assigned.
  • CANDIDATES PROFILE :

    Education & Experience :

  • 5+ years experience in Clinical Data Management preferred.
  • Bachelors degree in a health-related field or equivalent experience preferred.
  • CCDM Certification preferred.
  • Professional Skills :

  • Strong project management experience and project team leadership skills including work planning, work delegation and solving complex problems.
  • Strong analytical and strategic thinking skills
  • Detail oriented, ability to multitask with strong prioritization, planning and organization skills.
  • Excellent collaborative skills
  • Demonstrated command of the English language with proficiency in both verbal and written communication
  • Technical Skills :

  • Proficiency in Microsoft Office Applications, specifically MS Project and MS Excel
  • Knowledge of ICH / GCP guidelines, 21 CFR Part 11 and clinical trial methodology
  • Proficient with EDC and Clinical Data Management Systems
  • Experience with Cloud SaaS platforms (preferred)Experience with data reporting tools such as Qlik, JReview, Spotfire preferred.
  • Experience with RBQM methodology preferred.
  • Exposure to CDISC guidelines and standards
  • (ref : hirist.tech)

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