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Data Analyst - Participant Assistant

Employer:
Institute of Environmental Science & Research Limited
Job Category:
Science and Environment
City/Town:
Wellington - Hutt Valley
Region:
Wellington
Job Type:
Fixed Term Contract
Posted Date:
15-Mar-2019
Closing Date:
31-Mar-2019
File Attachment:
No File Attached
File Links:
Employer Website:

Job Description

Data Analyst - Participant Assistant

Fixed term for 1 year

National Centre for Biosecurity and Infectious Disease (NCBID)

Upper Hutt, Wellington

 

About ESR

ESR is a Crown Research Institute, working with and for clients and stakeholders in central and local government, industry organisations and the private sector to deliver enhanced scientific research services for the economic, environmental and social wellbeing of New Zealand. ESR has approximately 400 staff with sites in Auckland, Christchurch, Upper Hutt, and Porirua.

Scope

This role is a fixed term position for one year due to availability of research funding.

The Data Analyst will work closely with the SHIVERS-II principal investigator, project coordinator, Lead Epidemiologist and SHIVERS-II research team to analyse and publish the findings of the Southern Hemisphere Influenza Vaccine Efficacy and Surveillance (SHIVERS-II) project. The position is expected to contribute to the scientific life of ESR by promoting a culture of open, ethical, relevant and publicly responsive scientific inquiry.

A few of the accountabilities for this role include:

  • Data collection, management and analysis
  • Participant assistant duties for ensuring positive interactions with participants meeting ethical standard
  • Supporting other team members when required
  • Managing internal and external relationships

The ideal candidate will have an advanced degree Bachelor or Master of Science and will ideally have most or all of the following capabilities:

  • Some working experience as a data analyst or research assistant in an applied public health setting (Ministry of Health, public health unit, universities or a similar setting)
  • Basic data management and analysis (descriptive, logistic regression) in common statistical analysis software packages (STATA, SAS, R, or EpiInfo)
  • High level of understanding and experience in analysis and publication of clinical information
  • Attention to detail essential
  • Ability to communicate and work effectively with a wide range of people
  • Ability to research and review relevant scientific literature
  • Ability to prepare and present scientific information (written and verbal) to a range of audiences

For a full list of duties and experience required for this position, please refer to the position description.

A pre-employment drug-screen and disclosure of criminal charges/convictions are conditions of employment for this position.

Application close Sunday 31 March

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