Senior/Lead Statistical Programmer

1 week ago


Bengaluru, Karnataka, India ClinChoice Full time
Senior/Lead Statistical Programmer

Full-TimeBengaluru, Karnataka, IndiaHyderabad, Telangana, IndiaDescriptionJob 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

RequirementsQualification:
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 ExperienceShould 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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