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28/04 Karan Dhond
Talent Advisor at Randstad

Views:302 Applications:59 Rec. Actions:Recruiter Actions:37

Data Analyst - Pharma (4-7 yrs)

Hyderabad Job Code: 919432

Mark in Bold is mandatory

Mission statements :

- 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

Knowledge, Skills & Competencies / Language

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 : 

- Proficiency using Python, R and SQL to analyse data

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

Preferred Experience : 

- 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

Qualifications: 

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

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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