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Assistant Professor / Research Fellow (Biostatistician)

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Date: 11-Oct-2021

Location: Outram Campus, SG

Company: National University of Singapore

Job Description

 

The Centre for Quantitative Medicine (CQM) in Duke-NUS Medical School is an academic centre for quantitative scientists and strives to bring the quantitative science and biomedical research communities together. The centre's Biostatistics Core team primarily provides statistical support for collaborative research involving clinical trials, epidemiology studies and health services research.

 

CQM  invites applications from outstanding candidates to join a talented data team of data analysts, methodologists and biostatisticians supporting cutting edge research in a world class academic medical centre. 

The successful candidate will perform a variety of functions under the supervision of the Centre Director, including but not limited to the following: -

 

  • Focus on research excellence and strengthen research collaborations related to the field of research in CQM Biostatistics Core.
  • Responsible for leading teams of analysts and statisticians, and providing statistical support for grant/protocol development, study design, sample size estimation, randomization generation, statistical analysis plan development, data analysis, manuscript writing and statistical consultations. 
  • Assist in the securing of research funding or grants.
  • Be involved in conducting workshops, seminars, mentoring and teaching medical and Ph.D. Biostatistics students.
  • May have substantial involvement in overseeing core research facilities and technology implementation/ improvement.
  • Perform other related duties incidental to the work described therein.

Job Requirements

 

  • Ph.D. or equivalent in Statistics or Biostatistics.
  • Minimum 5 years of relevant experience in clinical trials and epidemiology study designs, sample size estimation and clinical data analysis.
  • Familiar with regulatory guidelines on clinical trials and data standardization (CDISC).
  • Demonstrate strong programming skills using SAS.
  • Prior experience in grant and manuscript writing would be advantageous.
  • Possess good communication and presentation skills, and have well-developed interpersonal skills with the ability to interact with a wide range of people, including clinicians and other healthcare professionals.
  • Suitable candidates with prior experience or currently working for pharmaceutical companies or contract research organizations are welcome to apply. 

 

We regret that only shortlisted candidates will be notified.