Sr/Medical Statistician

at  Tan Tock Seng Hospital

Singapore, Southeast, Singapore -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate28 Jul, 2024Not Specified02 May, 2024N/AEpidemiology,Statistics,Research,Powerpoint,Factor Analysis,Hospitals,Mathematics,Medical Research,Clinical Trials,Economics,Access,Biostatistics,Bayesian Statistics,Principal Component Analysis,Public Health,ExcelNoNo
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Description:

JOB SUMMARY

The Medical Statistician / Modeller in the National Public Health and Epidemiology Unit (NPHEU) provides biostatistical and/or modelling expertise to support the design, analysis, optimisation, and execution of prevention, surveillance, and research into diseases of public health concern. The role necessitates working closely with epidemiologists, analytic and data engineering teams based at the National Centre for Infectious Diseases (NCID) and the Ministry of Health (MOH). The candidate will also work with other professionals (including clinicians, scientists, epidemiologists and researchers) in other government agencies, academic institutions, and clinical professionals, to drive analytics or modelling projects in the field of infectious diseases.

EDUCATION

  • Candidate must possess a Master’s degree in statistics, analytics, data science, industrial engineering, mathematics or economics; candidates holding PhDs with direct relevance to the post (e.g. statistics, epidemiology, computer sciences, mathematics, economics as applied to human health or animal health domain) are preferred.
  • Experience in the knowledge of the principles and practice in the field of biostatistics and/or modelling.
  • Proficient in using at least one statistical software solution in the healthcare setting (e.g. SAS, STATA, SPSS, R) and MS Office applications (e.g. Word, Excel, Powerpoint and Access).
  • Experience in report writing, manuscript preparation and publication; should have demonstrated through such reports or manuscripts their experience with driving projects in any of the following areas:
  • Application of advanced statistical methods (e.g. latent class models, principal component analysis / factor analysis, ARIMA or other time-series methods, hierarchical models, structural equation models, Bayesian statistics)
  • Transmission dynamics modelling
  • Health economics analysis / modelling
  • Ability to follow a problem from conceptualisation to conclusion.
  • Ability to exercise patience, effectively communicate with others, and good interpersonal skills with the ability to work both independently and with a variety of people, and under a variety of conditions.
  • Possess a strong interest in research.
  • Preferably possess previous work experience in a public health agency or health related settings such as hospitals, public health organisations and academic institutions. This includes active involvement in statistical or modelling work in public health, field epidemiology, or clinical epidemiology (e.g. surveillance databases, public health registries and/or medical research and clinical trials).

Responsibilities:


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Hospital/Health Care

Pharma / Biotech / Healthcare / Medical / R&D

Health Care

Graduate

Engineering, Mathematics, Statistics

Proficient

1

Singapore, Singapore