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.

• 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)