Lead Data Analyst

4 days ago

Mangalore, Karnataka, India beBeePrincipalDataAnalyst Full time ₹ 60,00,000 - ₹ 80,00,000

Job Description:

We are seeking a highly skilled and experienced Programmer to join our team. The successful candidate will be responsible for providing programming support to the statistics and programming department across a range of projects, clients, and therapeutic areas.

The ideal candidate will have excellent SAS and SQL programming skills with the ability to implement complex logic, as well as experience working with large databases and generating reports to enable analysts to explore real-world healthcare data assets.

  • Candidates must be comfortable creating complex analysis datasets derived from various data sources with a careful eye for outliers and errors.
  • Experience building patient cohorts and evaluating patient healthcare events in large databases and using observational research methods such as epidemiology and statistical methods is highly desired.

Key Responsibilities:

The study programmer is responsible for manipulating large databases and generating reports to enable analysts to explore real-world healthcare data assets.

The job requires proficiency in R and SQL programming, expertise in oncology databases, and a good understanding of oncology-specific analyses.

Technical Requirements:

Proficiency in R and SQL programming, expertise in oncology databases, and a good understanding of oncology-specific analyses are essential.

Required Skills and Qualifications:

The ideal candidate will possess the following skills and 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

Benefits:

The successful candidate will enjoy a range of benefits, including:

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

Other Information:

The ideal candidate will also possess the following attributes:

  • 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

Keyword: PrincipalDataAnalyst

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