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Senior Statistical Analyst

2 weeks ago

Gulbarga, Karnataka, India beBeeStatistical Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Senior Statistical Analyst

About the Role

This is a senior level position that requires strong analytical and technical skills in statistics programming. The successful candidate will have extensive experience in manipulating large databases and generating reports using advanced statistical methods such as survival and regression analysis.

The role involves working with real-world healthcare claims and electronic health record (EHR) data, leveraging expertise in database programming using SQL, and proficiency in R and SAS programming languages.

The ideal candidate will be comfortable working with complex analysis datasets derived from various data sources, identifying outliers and errors, and implementing effective solutions.

Key Responsibilities

  • Design, develop, and maintain statistical models to analyze large datasets
  • Generate reports and visualizations to support business decisions
  • Collaborate with cross-functional teams to integrate statistical insights into product development
  • Stay up-to-date with industry trends and advancements in statistical programming
Requirements

To be considered for this role, candidates must possess the following qualifications:

  • Bachelor's degree in computer science, statistics, mathematics, or other relevant field
  • Minimum 7-8 years of experience in SAS statistical programming
  • Proficiency in R and SQL programming languages
  • Experience with advanced statistical methods such as survival and regression analysis
  • Familiarity with real-world healthcare claims and EHR data
Preferred Qualifications

Candidates with the following qualifications are highly desirable:

  • Master's degree in epidemiology, biostatistics, computer science, or other relevant field
  • Training or experience with Python, Databricks, or other cloud-based software
  • Pharmaceutical industry experience
  • Training or experience in epidemiological methods