Senior/Lead Statistical Programmer

4 weeks ago

Bengaluru, India ClinChoice Full time

Senior/Lead Statistical Programmer

Full-Time

Bengaluru, Karnataka, India

Hyderabad, Telangana, India

Description

Job Responsibilities:
• Annotate Case Report Form ( following FDA/CDISC or sponsor guidelines.
• Develop SDTM specifications and generate SDTM datasets using SAS.
• Develop ADaM specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan.
• Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts.
• Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE).
• Create electronic submission package to FDA, , or following FDA guidelines with minimum supervision.
• Analyse information and develop innovative solutions to programming and data analysis challenges.
• Actively communicate with statisticians for statistical input and analysis interpretation.
• Follow and reinforce regulatory agency requirements during daily job.
• Serve as a programming team lead and contribute to department initiative.
• Provide guidance, mentoring, training for team members and help solve issues from cross-functional teams.
• Review draft and final production deliverables for project to ensure quality and consistency.

Requirements

Qualification: Master’s / bachelor’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines. Should have experience in end-to-end statistical programming (SDTM, ADaM and TLFs).

Years of Experience

Should have 5-8 years of experience in end-to-end Statistical Programming in Clinical domain.

Skills

• Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus.
• Proficient in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members
• Proficient in applying concepts in Artificial Intelligence and Machine Learning in the real world.
• In-depth knowledge of Good Clinical Practices, Clinical research, Clinical trial process and related regulatory requirements and terminology.
• Good understanding of clinical drug development process.
• Strong communication skills and coordination skills. ability to communicate with global teams with supervision.
• In-depth knowledge of Good Clinical Practices, Clinical research, Clinical trial process and related regulatory requirements and terminology.
• Good understanding of clinical drug development process.
• Detail-oriented and ability to learn and adapt to changes.
• Proficient in Microsoft Office Suite, , Word, Excel, PowerPoint, etc.

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