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Sr Clinical Data Specialist

4-6 years
Not Disclosed
10 Aug. 6, 2024
Job Description
Job Type: Full Time Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Join Fortrea: Pioneering Clinical Development Worldwide

As a leading global contract research organization (CRO) with a passion for scientific rigor and decades of clinical development experience, Fortrea provides pharmaceutical, biotechnology, and medical device customers with a wide range of clinical development, patient access, and technology solutions across more than 20 therapeutic areas. With over 19,000 staff conducting operations in more than 90 countries, Fortrea is transforming drug and device development for partners and patients around the world.

Key Responsibilities

  • Clinical Data Review: Review clinical trial data in accordance with Global Data Management Plans and applicable standardized data management processes (SOPs, Work Instructions, etc.) to identify erroneous, missing, incomplete, or implausible data.
  • Ancillary Programs: Run ancillary programs (e.g., diagnostics, special listings, reconciliation discrepancy listings) used to support the review of clinical trial data.
  • Query Management: Generate, resolve, and track queries to address problematic data identified during data review activities.
  • Data Trend Analysis: Perform aggregate review of clinical data by patient, site, and/or project to identify data trends (patient safety, compliance, etc.) and/or data inconsistencies that require further investigation.
  • Quality Control: Apply quality control procedures and checks to ensure data quality standards (client and Fortrea) are achieved.
  • Document Review: Potentially serve as a reviewer of project documents such as protocols, CRFs (or eCRF Completion guidelines, Data Management Plans, Perform Data review utilizing all applicable documents such as protocols, CRFs (or eCRFs and eDiary), etc.
  • Development of Plans: Assist with the development of Global Data Management Plans and Quality Management (QM) Plans that will deliver accurate, timely, consistent, and quality clinical data.
  • Database Design Review: Assist in the review of the database design and annotate the CRF (eCRF) according to the specifications.
  • Guidelines Creation: Create and assist in the data review guidelines, ensuring consistency with the clinical data model, and CRF/eCRF completion/monitoring conventions.
  • System Development: Assist in the development and testing of data management system edit/data validation checks (diagnostics) and special listings/procedures used as tools for the data review and discrepancy management activities.
  • Timeline Management: May assist with the Lead Data Manager or Lead Data Reviewer to build timelines to meet contracted milestones by communicating with leads in different disciplines and the full project team as necessary.
  • Tool Knowledge: Knowledge of Data Management tools, systems, and processes.
  • Quality Assurance: Ensure service and quality meet agreed upon specifications per the DMP and scope of work in the budget.
  • Budget Management: Inform Lead Data Reviewer of overages in budgeted units and assist in Change Order Log process, if applicable.
  • Audit Support: Perform quality control on data management activities to include, but not be limited to all study documentation, query generation, and integration; to ensure that internal and client quality standards are achieved. Support and action client or internal audits as appropriate and resolve all issues within an appropriate timeframe. Address client comments with the study team, as appropriate.
  • Mentoring: Mentor/Coach in training of project staff on project-specific, global, standardized data management processes.
  • Additional Duties: Perform other related duties as assigned by management.

Qualifications

  • Education: University/college degree (life sciences, health sciences, information technology, or related subjects preferred). Experience and/or education plus relevant work experience equating to a bachelor's degree will be accepted in lieu of a bachelor’s degree.
  • Experience: 4 to 6 years of Clinical Data Management. Knowledge of clinical trial processes, DM, clinical operations, biometrics, and system applications to support operations.
  • Skills: Time management skills and ability to adhere to project productivity metrics and timelines.

Why Join Fortrea?

Fortrea is actively seeking motivated problem-solvers and creative thinkers who share our passion for overcoming barriers in clinical trials. Our unwavering commitment is to revolutionize the development process, ensuring the swift delivery of life-changing ideas and therapies to patients in need. Join our exceptional team and embrace a collaborative workspace where personal growth is nurtured, enabling you to make a meaningful global impact.

For more information about Fortrea, visit www.fortrea.com.

Equal Opportunity Employment

Fortrea is proud to be an Equal Opportunity Employer. As an EOE/AA employer, Fortrea strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based on race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply.

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Join Fortrea and make a difference in global healthcare.