Part-Time Biostatistician — Research & Data Analytics

Institute of Mental Health

Singapore

On-site

SGD 55,000 - 83,000

Part time

14 days+
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Job summary

Institute of Mental Health (IMH) in Singapore invites applications for a Part-time Biostatistician (21 hours). The role provides statistical support to the research division, assisting in study design, data cleaning and analysis with SPSS/SAS in a dynamic hospital research setting.

The ideal candidate holds a Bachelor's or Master's in statistics, has experience with multiple statistical software, and is able to contribute to ongoing projects while learning new techniques and collaborating with

Qualifications

  • Experience in statistical analysis using multiple statistical software.
  • Bachelor's or Master's degree in statistics or related field.

Responsibilities

  • Provide statistical support to the research division and ongoing research projects at IMH.
  • Assist senior researchers in sample design and analysis for research projects.
  • Perform data clean up and preparation of data for analyses.
  • Apply appropriate statistical tests and assist in generating, presenting and summarizing study findings.
  • Perform statistical analysis using programmes like SPSS, SAS, etc.
  • Contribute to the data management plan and programming for research projects.
  • Provide statistical support on-going research projects at IMH.
  • Learn new statistical techniques and analytical software to provide best solutions for analyses.
  • Discuss statistical design and analysis with collaborators.

Skills

Statistical analysis
Multiple software

Education

Bachelor's or Master's in statistics

Tools

SPSS
SAS

Job description

Institute of Mental Health (IMH) in Singapore invites applications for a Part-time Biostatistician (21 hours). The role provides statistical support to the research division, assisting in study design, data cleaning and analysis with SPSS/SAS in a dynamic hospital research setting.

The ideal candidate holds a Bachelor's or Master's in statistics, has experience with multiple statistical software, and is able to contribute to ongoing projects while learning new techniques and collaborating with

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