Biostatistician at Vueverse | Torre

Biostatistician

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Full-time

Legal agreement: Employment

Compensation
INR2.6M - 2.8M/year
~USD27.3k - 29.4k/year
Negotiable
location_on
Remote (for India residents)
Posted 2 months ago

Responsibilities


Responsibilities: - Provide statistical input for protocol development, study design, and sample size calculation. - Develop statistical analysis plans including the definition of derived data, and the design of statistical tables, figures, and data listings for clinical summary reports. - Collaborate with cross-functional teams including clinical, regulatory, medical writing, and data management. - Oversee production and quality control of randomization schedules. - Review case report forms and data validation guidelines to ensure quality and integrity of study data collection. - Design analysis file specifications in accordance with the statistical analysis plan and table shells, and CDISC ADaM standards. - Provide statistical input for Data Safety Monitoring Board (DSMB) and Data Monitoring Committee (DMC) activities, including development of DSMB/DMC charters and analysis plans. - Serve as an independent statistician providing data and analysis support for DSMB/DMC review. - Monitor progress on study activities against agreed upon milestones and ensure the study timelines for project deliverables are met. - Identify out of scope tasks and escalate to management. - Ensure compliance with regulatory guidelines and industry standards. - Prepare and review clinical trial reports and regulatory submissions. - Mentor and provide guidance to junior statisticians, biostatisticians, and statistical programmers. - Stay updated with advancements in biostatistics and relevant regulatory guidelines. Qualifications: - PhD in statistics or biostatistics and 4+ years of experience as a biostatistician in CRO or pharmaceutical companies. - Master’s degree in biostatistics, statistics, or a related field and 7+ years of experience as a biostatistician in CRO or pharmaceutical companies. - Thorough knowledge of and experience with CDISC standards, ADaM, and TFL programming. - Strong proficiency in statistical software (e.g., SAS, R). - In-depth knowledge in clinical trial methodology and regulatory requirements (e.g., FDA, EMA). - Excellent problem-solving skills and attention to detail. - Strong leadership, communication, and interpersonal skills. - Ability to effectively manage multiple tasks and projects. - Ability to clearly describe statistical techniques and interpret results.

Indefinitely open

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