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28/04 Karan Dhond
Talent Advisor at Randstad

Views:135 Applications:31 Rec. Actions:Recruiter Actions:20

Data Analyst - Pharma (4-7 yrs) Premium

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

Women-friendly workplace:

Maternity and Paternity Benefits

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