Biostatistician

3 - 10 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Biostatistician at CPVIA, a clinical data analytics solutions company in Hyderabad, you will utilize your expertise in statistical programming and consulting to support pharmaceutical, biotechnology, and medical device companies. Your primary focus will be on accelerating drug development activities while maintaining high quality standards and cost efficiency through collaboration with a team of experienced professionals. With a minimum of 3 years of experience in the pharmaceutical industry, you will play a crucial role in providing internal statistical support by closely working with lab scientists, technicians, statisticians, and programmers. Your responsibilities will involve collaborating with various stakeholders to facilitate drug development activities and ensure successful project outcomes. To excel in this role, you are required to hold a university degree in Sciences or Engineering, with a post-graduate qualification in Biostatistics or equivalent statistical experience. You should have a strong grasp of statistical theory, diverse methodologies, and experimental designs. Proficiency in SAS, R (and JMP) is essential, along with effective communication skills to bridge theoretical concepts with practical applications. Being a team player is vital as you will be expected to share knowledge within multidisciplinary teams and contribute to study oversight and delivery. Experience in developing protocols, Statistical Analysis Plans (SAP), Tables, Figures, and Listings (TFL) is advantageous. Additionally, your technical skills in power calculation, simulations, and Quality Data Model (QDM) will be valuable assets in this role. If you meet the qualifications mentioned above and are passionate about making a meaningful impact in drug development, we encourage you to apply by submitting your resume to info@cpvia.com. Join us at CPVIA and be part of a dynamic team dedicated to driving innovation and excellence in clinical data analytics.,

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