Clinical Scientific Expert I

Novartis; Lavamünd; Vor Ort; EUR 70.000 - 95.000; Vollzeit

Zusammenfassung

Novartis in Austria is seeking a Clinical Scientific Expert I to support global clinical trial activities, focusing on data review, safety signals and data integrity.

The role contributes to data review plans, CRF development, and cross-functional collaboration to ensure high-quality study outcomes in compliance with ICH-GCP and regulatory requirements.

Strong scientific background and experience with data systems (EDC, Excel) are valued as you support trial teams and documentation across phases.

Qualifikationen

• Advanced degree in life sciences/healthcare (or clinically relevant degree) is required.
• 1–2 years scientific, strategic and operational experience in planning, executing, reporting, and publishing clinical studies in industry or Academia, or 3–4 years in Clinical Operations/Clinical Scientific role
• Good knowledge of Good Clinical Practice and drug development processes.
• Strong scientific knowledge in at least one therapeutic area (e.g., diseases, endpoints, outcomes).
• Knowledge of clinical data collection and reporting; ability to use systems (e.g., EDC) for data collection and reporting; experience with Rave and/or OC-RDC is an advantage.

Aufgaben

• Perform high quality clinical data review and identify insights through patient-level review and trends analysis.
• Contribute to the Data Review/Quality Plan and data review strategy across the study.
• Assist with Case Report Form (CRF) development and data capture tool implementation.
• Contribute to data review process improvements and new analyses/tools.
• Support development of study documents for regulatory submissions and publications.
• Support pharmacovigilance activities if required.
• Produce training materials and present at study-level meetings.
• Develop subject matter expertise in disease areas and data review tools.
• Collaborate across functions for process development and education.

Kenntnisse

Clinical Research

Clinical Trials

Data Integrity

Learning Design

Risk Monitoring

Ausbildung

Advanced degree in life sciences/healthcare

Tools

Rave

OC-RDC

Excel

Jobbeschreibung

Job Description Summary

-Contributes, with appropriate oversight, to all relevant aspects of global clinical trial(s) activities to deliver study outcomes within schedule, budget, quality/compliance and performance standards. May lead specific aspects of global clinical trial(s). Core member of the Clinical Trial Team. -Applicable to Clinical Scientific Expert IThe Clinical Scientific Expert I (CSE I) provides clinical and scientific support through all phases of a clinical study under the guidance of the (A)CD(M)D in compliance with Novartis processes, ICH GCP and regulatory requirements. This role applies the principles of clinical data review excellence and identifies clinical data insights to ensure data is scientifically plausible and to identify trends, signals and risks associated to trial endpoints and patient safety. The CSE I is a core member of the Clinical Trial Team (CTT) and may support program level activities as assigned.

Job Description

Major Accountabilities:

• 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 facilitate resolution of clinical data issues. Collaborate with relevant line functions to enhance 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.

• Contributes to the development 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 contribute to Case Report Form (CRF) development, and support the implementation of data capture tools.

• Contribute 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 contribute (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/contributing to aggregate reports/patient narratives, attendance of Safety Monitoring Meetings (SMT)), if required.

• Produce training materials and provide training to iCTT. Support/present at study level meetings (Investigator Meetings, Data Monitoring Committee (DMC) meetings or others), as required.

• Develop subject matter expertise (disease area knowledge, clinical data review tools and/or processes).

• Contribute to line function initiatives, local and/or global education and process development projects, as required.

Essential Requirements

• Advanced degree in life sciences/healthcare (or clinically relevant degree) is required. Master’s, PharmD, MPharm, PhD, MBBS, BDS, MD strongly preferred.

• 1-2 years scientific, strategic and operational experience in planning, executing, reporting, and publishing clinical studies in industry or Academia, or 3-4 years in Clinical Operations/Clinical Scientific role

• Intermediate knowledge of planning, executing, reporting, and publishing global clinical studies in a pharmaceutical company or contract research organization or similar experience with an academic research institution

• Good knowledge of Good Clinical Practice and drug development processes

• Strong scientific knowledge in at least one therapeutic area (e.g., understanding of basic mechanisms of diseases and associated symptoms, standard of care/treatment, scientific endpoints & clinical outcomes)

• Knowledge of principles of clinical data collection and reporting; ability to use systems and tools (e.g., EDC systems, Excel, etc.) for data collection, analysis and reporting. Experience in Rave and/or OC-RDC is an advantage.

• Analytical / computational background; ability to detect data trends and elevate as appropriate. Demonstrates knowledge and application of statistical analysis methodology and good medical / scientific writing skills

• Ability to collaborate across boundaries for shared success and resolve issues or understand when to escape

Skills Desired

Clinical Research, Clinical Trials, Data Integrity, Learning Design, Risk Monitoring