Highly Skilled Programmer Needed for Large Scale Healthcare Projects

5 days ago

Alleppey, Kerala, India beBeeProgrammer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Purpose

The main objective of this role is to provide high-quality programming support across various projects, clients, and therapeutic areas within the statistics and programming department.

Key Responsibilities

This position requires manipulating large databases, generating reports, and enabling analysts to explore real-world healthcare data assets. Candidates must have excellent SAS and SQL programming skills and the ability to implement complex logic.

  • SAS is acceptable.
  • R programming is preferred.

Technical Skills Required:

Proficient in R and SQL programming - Expertise in Oncology databases such as Flatiron, COTA - Good understanding of Oncology specific analyses such as Line of Therapy algorithms, Survival analysis, different statistical models - Preferable to have R Shiny or Instant Health Data (IHD) experience - Experience with Analytic Datasets, patient cohorts is good to have.

Core Competencies:

  • Lead internal and client study team meetings effectively
  • Present study updates internally and at client meetings
  • Share scientific, technical, and practical knowledge within the team and with colleagues
  • Perform work in full compliance with applicable legislation, regulations, company policies, procedures, and training
  • Build effective collaborative working relationships with internal and client team members
  • Seek opportunities to develop innovative ideas, sharing when appropriate
  • Line management or mentorship of more junior team members
  • Contribution to development of internal training materials
  • Contribution to internal process improvement initiatives

Mandatory Qualifications:

  • 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

Additional Requirements:

  • 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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