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Senior Statistical Programmer / Analyst II

icon building Company : Clinchoice
icon briefcase Job Type : Full Time

Number of Applicants

 : 

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Job Description - Senior Statistical Programmer / Analyst II

Responsibilities:



  • Annotate Case Report Form (acrf.pdf) 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, e.g., define.xml or define.pdf following FDA guidelines with minimum supervision.

  • Proficient in analyze information and develop innovative solutions to programming and data analysis challenges; 

  • Support the point of contact (POC) of programming 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.


Skills and Qualifications:



  • Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines with at least 4+ years of clinical programming experience.

  • 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 ICH, 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.

  • Good understanding of clinical drug development process.

  • Detail-oriented and ability to learn and adapt to changes.

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