Principal Statistical Programmer

8 - 12 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a data science-driven company focused on supporting faster drug development and healthcare solutions, MEDTEK AI's team is comprised of senior statisticians, data scientists, statistical modeling and programming experts, data visualization specialists, cloud data engineers, data lake strategists, and regulatory submission and drug safety consultants. In this role at MEDTEK AI, you will be involved in a hands-on programming position, supporting deliverables in the study/project/portfolio/standards team, focusing on medium or high complex statistical programming deliverables. Your responsibilities will include: - Demonstrating strong SAS data manipulation, analysis, and reporting skills with a focus on output programming experience. - Proficiency in implementing the latest CDISC SDTM / ADaM standards. - Applying familiarity with the drug development life cycle and experience in manipulating, analyzing, and reporting clinical trials data. - Developing and executing statistical analysis and reporting deliverables such as safety and efficacy analysis datasets, tables, listings, and figures. - Expertise in designing, developing, and ensuring quality control processes for SAS programs used to access, extract, transform, review, analyze, and submit clinical data for all requested analyses. - Providing technical guidance to other statistical programmers, ensuring training and development of team members. - Leading and managing programming activities for clinical trials, including the development of programming plans, specifications, and programming datasets. Qualifications required for this role at MEDTEK AI include: - Bachelor or Master's (preferred) Degree in Statistics, Mathematics, Bioinformatics, or Computer Science. - Minimum of 8 years of relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency. - In-depth knowledge of clinical trial design, statistical analysis, and regulatory guidelines.,

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