Novartis Life Sciences
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Novartis Life Sciences Clinical Scientific Expert Recruitment, Apply Online

PhD life sciences jobs. Life sciences clinical scientific expert vacancy. Novartis Jobs. Novartis PhD Life Sciences Jobs. Novartis Life Sciences Clinical Scientific Expert Recruitment, Apply Online. Interested and eligible applicants can check out all of the details on the same below

Name of the Post – Clinical Scientific Expert – I

Job ID – 342111BR

Division – Global Drug Development

Business Unit – GDO GDD

Country – India

Work Location – Hyderabad, AP

Company/Legal Entity – Nov Hltcr Shared Services Ind

Functional Area – Research & Development

Job Type – Full Time

Employment Type – Regular

Shift Work  -No

Early Talent – No

Job Description

“150! Clinical scientific experts, globally, are part of the Global Drug Development (GDD) team, working to ensure clinical trial data and regulatory reports are of the highest quality throughout the life cycle of each program, across all disease areas. Be part of a dedicated, passionate team that is diligently providing clinical and scientific inputs at the study and program level, thereby supporting Novartis is reimagining medicine for patients worldwide.”

Your responsibilities include, but are not limited to:

  • Responsibility for ensuring high-quality clinical trial data review/insights and analysis as advised by the Integrated Clinical Trial Team (iCTT)
  • Perform high-quality clinical data review and identify clinical data insights through patient-level review and trends analysis, supporting Interim Analysis, Database and Post Lock activities and facilitating the resolution of clinical data issues.
  • Collaborate with relevant line functions to improve the quality of clinical data review/insights with an emphasis on subject safety and eligibility, data integrity, trend identification, analysis and remediation, and identification of cases for medical review.
  • Chips into the development of the Data Review/Quality Plan (DRP/DQP) and data review strategy, ensuring that protocol-level deviations, eligibility criteria, study assessments & other aspects of the protocol are implemented consistently across the study.
  • In conjunction with the relevant line functions, may supply Case Report Form (CRF) development, and support the implementation of data capture tools.
  • Chip in to and facilitate data review process improvements e.g. identification of delinquent/redundant reports and/or implementation of innovative data analysis processes and tools.
  • May supply (in collaboration with relevant line functions) to the development of study-level documents, including clinical sections of key regulatory documents, such as Investigator’s Brochures, briefing books, safety updates and submission dossiers. In collaboration with relevant line functions, review/write clinical trial documents for study CSR activities, and publications.
  • May support pharmacovigilance activities (e.g., reviewing/chipping into aggregate reports/patient narratives, attendance of Safety Monitoring Meetings (SMT)), if required. Produce training materials and provide training to iCTT.

Minimum requirements

  • A sophisticated degree in life sciences/healthcare (or clinically relevant degree) is required. PhD, MBBS, BDS, MD are strongly preferred. Proficient English (oral and written).
  • >1 year of experience in the Pharmaceutical industry/ clinical research organization. Basic knowledge in planning, executing, reporting and publishing global clinical studies in a pharmaceutical company or contract research organization.
  • Work experience in clinical operations is preferable. Strong social skills – Ability to work under pressure. Good negotiation and conflict resolution skills. Collaborates across boundaries for shared success
  • Resolve issues with minimal direction and understands when to raise them. Fundamental knowledge of Good Clinical Practice, clinical trial design, statistics, regulatory processes, and clinical development process
  • Strong analytical/computational background. Demonstrates strong Medical / scientific writing skills. Demonstrates knowledge and application of statistical analysis methodology and can identify trends and analyze/interpret / report data optimally.

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