The George Institute For Global Health
Global
United Kingdom
India
China
Australia

Statistical Programmer

Type of career: 
Jobs
Country: 
India
City: 
Hyderabad
Application close date: 
17/10/2017
Contact name: 
Neeti Sharma

‘The George’ is 600+ people globally focused on improving the health of millions of people. A medical research institute affiliated with Oxford University, UNSW Sydney and the Peking University Health Science Centre and with projects in approximately 50 countries, we are challenging the status quo in healthcare to find the best ways to prevent and treat chronic disease and injury, and to influence policy and practice worldwide. Our innovative commercial enterprises help maximise our impact. 

By joining our team, you will have the opportunity to help create a healthier world.  

Context

Responsibility for design, implementation, conduct and reporting of medical research projects conducted by The George Institute is shared by the Research Division and the Statistics Division.The Statistics Division is responsible for the provision of statistical expertise to support the research done at the George Institute; this includes clinical trials, meta-analyses, observational studies, surveys as well as teaching the development of new statistical methods. Occasionally, the Statistics division also provides services to external organisations contracted via George Clinical, the commercial arm of the George Institute.

The Role

The statistical programmer is responsible for the analysis of medical research projects conducted by the George Institute in Australia and globally. The above position is based in India and the applicant should be willing to be based either in Hyderabad/New Delhi.

Reporting Relationships

Globally, the Statistics Division currently consists of 14 employees, including 10 in Australia, 2 in China and 2 in India. The statistical programmer will directly report to the Lead Biostatistician based in India.

Duties and Key Responsibilities

  • Provide programming support using SAS to the research staff based in India
  • Prepare derived datasets for the analysis using SAS
  • Program and validate statistical analyses in SAS
  • Prepare and deliver reports for interim and final analyses
  • Assist biostatistician with the creation of statistical analysis plans
  • Work in collaboration with research fellows and clinical data managers
  • Comply with all institute standards and regulatory requirements for the programming, analysis and reporting of research projects (e.g. FDA, EMEA, TGA etc)

As a Team Member:

  • Participate in team meetings and academic activities
  • Participate in objective setting, performance management
  • Participate in special projects to improve processes, tools, systems and organisation

Occupational Health and Safety

  • Comply with OH&S legislation and operate in accordance with established OH&S practice and procedures at the George Institute.
  • Promote and contribute to a safe, secure environment for staff and visitors.

Skills, Knowledge and Experience

  • Graduate in Statistics
  • Minimum 5-year experience in statistical programming for medical research 
  • Excellent working knowledge of SAS software including but not limited to Base SAS, SAS/STAT, SAS MACRO, SAS/GRAPH, and SAS SQL.
  • A certification in SAS Advanced Programming is desirable.
  • Understanding of data management principles for clinical trials and medical research
  • Working knowledge of regulatory requirements for clinical trials and medical research
  • Strong focus on quality and timely delivery of work.
  • Well organized with good time management skills
  • Strong problem solving and analytical skills
  • Excellent interpersonal skills with high level of proficiency in English
  • Ability to work in small teams with a wide range of varying stakeholders
  • Ability to see the big picture, whilst still maintaining a focus on detail and implementation
  • Ability to be flexible and adaptable in the face of changing organizational priorities.

Click here to apply for the job

Closing Date: 17 October 2017