• The Data Analyst (Conventional Analytics) will develop and maintain a strong working relationship with statisticians, modelers, pharmacometricians, translational scientists, RWE investigators, Advanced Analytics and IT partners bringing a deep understanding of the available data and core statistical approaches and visualization tools


• The Data Analyst (Conventional Analytics) will be a go-to person for data processing, biostatics, and analytics platform support


• The Data Analyst (Conventional Analytics) will have hands on implementation of analytical solutions, data access, and management technologies


• The Data Analyst (Conventional Analytics) will take on initiatives that progress strategic data management and analytics capabilities for the team


• The Data Analyst (Conventional Analytics) will provide technical and analytical expertise, coupled with a knowledge of disease or human biology

People

• Maintain effective relationships with the end stakeholders

Performance

• Data Analyst will work on data processing, biostatics and analytics platform support


• Data Analyst will work on implementation of analytical solutions, data access and management technologies


• Data Analyst will take on initiatives that progress strategic data management and analytics capabilities for the department.

Customer

• Providing accurate and timely deliverables


• Highly responsive to end-user needs

Process

• Manage all requests within the centralized mailbox and prioritize based on the business need

Required Experience

• 3 years using biostatistics to perform descriptive analysis on patient data


• 3 years with patient claims and electronic health records


• 1 year using cloud and high-performance computing environments (AWS, GCP)

Required Skills

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  Proficiency using Python, R and SQL to analyse data

  
  


• Literature search & synthesis experience (PubMed/ Embase) & Dr.Evidence (preferred)

Preferred Experience

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  Experience executing formal studies describing patient populations, health care utilization, treatment patterns, etc.

  
  


• Prior hands on experience in the execution of analytics on big data stacks (HDFS, Spark, NoSQL databases).

Organizational Behaviors

• ​Requires high level of interactive communication including challenges to conventional thinking as necessary  


• Proven teamwork and collaboration skills


• Demonstrated commitment to rapid response analytics; high energy responsiveness and commitment to meeting stakeholders’ needs

Education:

• BA/BS / Masters / PhD, Medical Economics, Medical Informatics, Biostatistics, or Computer Science, computer engineering or similar mix of aptitude for learning and scientific research