Job Description

JOB DESCRIPTION
Medical Affairs Biostatistician
The role is responsible for statistical activities in support of Medical Affairs, including post approval value evidence generation, secondary publications, post marketing study design and study protocol development, analysis and reporting of observational or clinical study data, and other post hoc and exploratory analyses as needed. In addition, this role is also responsible delivering analysis outputs without programmers support.
RESPONSIBILITIES
Summary of Key Responsibilities
Leads statistical support for post approval value evidence generation and reimbursement submissions
Conducts post hoc analysis to support publications and presentations
Reviews and authors abstract, manuscript, regulatory documents
Collaborates with cross-functional team to support observational studies
Develops statistical sections of study protocols and statistical analysis plans.
Collaborates with Data Management and Medical Research on design of eCRFs.
Provides statistical guidance on conduct of ongoing studies.
Accountable for the collaboration with Statistical Programming to implement statistical analysis of all clinical trial, registry, observational and non-interventional data supporting Medical Affairs needs
Contributes to observational study reports and regulatory documents, e.g., DSURs, briefing documents, etc.
Contributes to scientific articles, summarizing data collected in sponsor studies.
Participates in other activities and meetings to support Biostatistics and the Medical Affairs team as needed.
QUALIFICATIONS
Qualifications
PhD in Biostatistics, Statistics, or equivalent with at least 3 years pharmaceutical biostatistics experience; or MS with at least 5 years’ relevant experience.
Excellent written and oral communication and presentation skills.
Strong SAS programming experiences and expertise and are comfortable delivering analysis outputs without programmers support.
Extensive experiences working on data analysis with clinical studies database
Experience working on post-approval observational and clinical studies.
Understanding of ICH GCP as well as general knowledge of industry practices and standards.
Experiences in R programming language and other statistical software.
Experience with CDISC, including SDTM, ADaM, CDASH.

Job Tags

Permanent employment,

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