Sunday 10 December 2017

VACANCY FOR THE POST OF CLINICAL SCIENTIFIC EXPERT - II AT NOVARTIS, HYDERABAD



Job ID                             229182BR
Position Title                  Clinical Scientific Expert - II
Division                          Global Drug Development
Business Unit                 CD&A GDD
Country                          India
Work Location              Hyderabad
Company/Legal Entity Novartis Healthcare Shared Services India
Functional Area            Research & Development
Job Type                         Full Time
Employment Type         Regular
Job Description  
Clinical Scientific Expert II is responsible for ensuring the collection, review/ reporting of high quality trial data, and study reporting/publishing in compliance with Novartis processes, GCP/ICH and regulatory requirements.
In addition, responsible for ensuring high quality scientific inputs to the clinical development process and support program level activities as assigned.
Minimum requirements        
ü In collaboration with Trial Statistician, support development of Reporting and Analysis Planning (RAP) modules in line with program standards.
ü Responsible to provide expert support in development of and implementation of relevant data capture tools in collaboration with CSD, GTL and IIS as documented in data handling plan or equivalent document (e.g. CRFs, protocol deviations, questionnaires, diaries, translations, edit checks)
ü Responsible for performing expert review of on-going clinical trial data as outlined in the data handling plan or equivalent, supports GTL to prepare database lock; and performing data reconciliation along the whole trial duration in collaboration with management.
ü Collaborate with Medical Lead/BSL to identify any safety trends; and as needed, reports on trial data to safety and clinical boards (e.g. SMT, GCT, and GPT).
ü In collaboration with Medical Lead or CSD/CSAD, responsible for final analysis and interpretation of results including the development and drafting of clinical trial reports, publications, and internal/external presentations.
ü Provide support for biomarkers planning and or execution
ü Lead/ participate in global process improvement work streams or act as Subject Matter Experts for training or SOP.
ü May support CSD in program level activities where needed including submissions.
ü Participate in the on-boarding, mentoring and training of CSE1 and new hires 
ü Demonstrates strong scientific writing skills to enable the development of quality clinical protocols, expert in trial reporting, and regulatory documents including high quality clinical /scientific clinical communication and publications
ü Submission of quality clinical documents at Final Protocol Package (e.g. protocol, ICF, clinical sections of CTA)
ü Data cleaning & review process is successfully accomplished within the required timelines across the trial with 100% clean data and no unplanned database unlocks
ü High quality, timely clinical data review and document preparation meeting NVS quality standards, reviews and audit. 
Minimum Qualifications:
ü Advanced (masters) degree in life sciences/healthcare (or clinically relevant degree)/ Pharm D is required. PhD or MD preferable. Fluent English (oral and written)
ü >3 years experience in Pharmaceutical industry/ clinical research organization
ü Advanced knowledge with hands on experience in planning, executing, reporting and publishing global clinical studies in a pharmaceutical company or contract research organization.
ü Strong interpersonal skills
ü Ability to work under pressure
ü Excellent negotiation and conflict resolution skills
ü Collaborates across boundaries for shared success
ü Resolve issues with minimal/ no supervision and understands when to escalate
ü Thorough knowledge and expertise in Good Clinical Practice, clinical trial design, statistics, regulatory processes, and clinical development process
ü Strong analytical / computational background
ü Demonstrates excellent Medical / scientific writing skills
ü Demonstrates expert knowledge and application of statistical analysis methodology and can identify trends and analyze/ interpret/ report data effectively.

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