Senior Data Analyst Position

2 days ago

Malappuram, Kerala, India beBeeProgrammer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Lead Programmer Role

This key position involves providing in-depth programming support to the statistical analysis team across multiple projects.

Key Responsibilities:

  • Analyze and manipulate large databases to generate comprehensive reports for data analysts.
  • Develop complex logic using R, SQL, and SAS programming skills to extract meaningful insights from healthcare data assets.
  • Derive complex datasets from various sources, carefully identifying outliers and errors.
  • Build patient cohorts and evaluate healthcare events in large databases using epidemiological research methods and statistical models.

Technical Requirements:

  • Proficiency in R, SQL, and SAS programming languages.
  • Expertise in Oncology databases such as Flatiron and COTA.
  • Strong understanding of Oncology-specific analyses including Line of Therapy algorithms, Survival analysis, and statistical models.
  • Desirable experience with Analytic Datasets, patient cohorts.

General Responsibilities:

  • Effectively lead internal and client study team meetings.
  • Present study updates at internal and client meetings.
  • Share scientific, technical, and practical knowledge within the team and with colleagues.
  • Perform work in compliance with applicable legislation, company policies, procedures, and training.
  • Develop effective working relationships with internal and client team members.
  • Seek opportunities to develop innovative ideas and share them when appropriate.
  • Line management or mentorship of junior team members.
  • Contribution to development of internal training materials.
  • Contribution to process improvement initiatives.

Minimum Qualification Requirements:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or other subject with high statistical content.
  • Minimum 7-8 years SAS statistical programming experience.
  • Database programming using SQL.
  • Experience with advanced statistical methods such as survival and regression.
  • Experience with real-world healthcare claims and EHR data such as MarketScan, Optum, and Medicare databases.

Desirable Qualifications:

  • Master's degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content.
  • Training or experience using the OMOP common data model.
  • Training or experience with Python, R, Databricks, or other cloud-based software.
  • Pharmaceutical industry experience.
  • Training or experience in epidemiological methods.

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