Data Science Expert

1 week ago

Cochin, Kerala, India beBeeStatistical Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description

Our organization seeks a skilled Statistical Programmer to play a pivotal role in providing statistical programming support for multiple clinical projects.

The selected candidate will utilize advanced SAS programming skills and offer expert consultation across the company, ensuring sound methodologies are adopted by establishing proficiency in programming techniques required for clinical trials research.

Key responsibilities include delivering key regulatory-compliant output based on established proficiency of regulatory requirements for clinical research E-submissions and/or study requirements.

  • Develops statistical programming using SAS (Base and Macros) and provides expert consultation to projects across the company.
  • Ensures sound methodologies are adopted by establishing proficiency in programming techniques required for clinical trials research.
  • Delivers key regulatory-compliant output based on established proficiency of regulatory requirements for clinical research E-submissions and/or study requirements.
Required Skills and Qualifications
  • A bachelor's degree plus 4 years of experience as a CDISC/TLF Statistical programmer in Pharmaceutical/CRO environment, with education in a scientific discipline preferred.
  • Understanding of GCP principles and other regulatory standards in Clinical Research.
  • Strong analytical skills with the ability to process scientific and medical data.
  • Proficient in statistical programming skills in SAS, with familiarity with R, Python or other relevant statistical software considered beneficial.
Benefits

As a valued member of our team, you will have the opportunity to develop your skills and advance your career in a dynamic and supportive environment.

Our organization offers a comprehensive benefits package, including competitive salary, professional development opportunities, and a collaborative work environment.

Others

Maintains up-to-date knowledge of current statistical programming techniques to ensure adoption of sound methodologies.

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