Epicareer Might not Working Properly
Learn More

Statistical Programmer

Salary undisclosed

Checking job availability...

Original
Simplified
Responsibilities

  • Develop, validate, and maintain statistical programs for data visualization and analysis using tools like Power BI, Python, R, or SAS.
  • Collaborate with cross-functional teams to prepare and visualize data from clinical trials.
  • Support statistical analyses and reporting of clinical study data.
  • Clean, transform, and validate large datasets in compliance with regulatory standards.
  • Assist in the development of reusable programming solutions and automation tools.
  • Apply basic machine learning techniques to enhance data interpretation and insights (nice to have).

Requirements:

  • Bachelor's or Master's degree in Statistics, Computer Science, Life Sciences, or a related field.
  • 2-3 years of programming experience in clinical trials or healthcare data.
  • Proficiency in one or more of the following: Power BI, Python, R, SAS.
  • Understanding of clinical trial data structure (e.g., CDISC, SDTM, ADaM).
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.
Responsibilities

  • Develop, validate, and maintain statistical programs for data visualization and analysis using tools like Power BI, Python, R, or SAS.
  • Collaborate with cross-functional teams to prepare and visualize data from clinical trials.
  • Support statistical analyses and reporting of clinical study data.
  • Clean, transform, and validate large datasets in compliance with regulatory standards.
  • Assist in the development of reusable programming solutions and automation tools.
  • Apply basic machine learning techniques to enhance data interpretation and insights (nice to have).

Requirements:

  • Bachelor's or Master's degree in Statistics, Computer Science, Life Sciences, or a related field.
  • 2-3 years of programming experience in clinical trials or healthcare data.
  • Proficiency in one or more of the following: Power BI, Python, R, SAS.
  • Understanding of clinical trial data structure (e.g., CDISC, SDTM, ADaM).
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.