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Jobfoundry
A*STAR

Manager/Senior Manager, Research Enablement

A*STAR
ResearchSingaporeFull-time3 days ago
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About the role

AI summarised

This role is for a Manager/Senior Manager in Research Enablement at the RIE TRUST Office, which oversees a data sharing and analytics platform for health research. The position involves engaging with researchers and clinicians, gathering user needs, supporting training, and applying domain knowledge to enable effective use of the platform and genomics tools.

ResearchFull-timeRIE Trust Office

Key Responsibilities

  • Support the design and prototype solutions to demonstrate the usage scenarios using the data platform and genomics tools available on the platform.
  • Work with internal and external stakeholders to enable them to effectively use data and genomics tools available on the platform.
  • Support training activities including the training materials development such as demo data, data science notebooks and videos, as well as delivering the training.
  • Apply domain knowledge to support the quality assurance process of data release.
  • Respond to and follow-up users' requests related to the platform usage and resources, analyse.
  • Lead engagement with users to understand their research needs & suggestions for additional features / improvements. Analyse, and map the requests to the features supported by the data platform.
  • Work cross-functionally with different team members to perform user feedback review and provide report to support the solution development and upgrade.

Requirements

  • Minimum degree in Bioinformatics, Biomedical Informatics, or related discipline with strong computational and statistical foundation required.
  • Advanced degree (Master's) in relevant discipline is advantageous.
  • Prior experience in a Technical Support role is also highly desirable.
  • Familiar with genomic research tools and pipelines for population health e.g. regenie, PLINK, etc, as well as with WGS and microarray data file formats.
  • Experience with following data formats will be highly regarded: VariantDataset (VDS), Hail MatrixTable (MT), Variant Call Format (VCF), Binary GEN format (BGEN), and PLINK bed/bim/fam triplets.
  • Proficiency in: Python programming for data science and analytics, R for statistical analysis and modelling, Shell scripting and CLI tools.
  • Experience (minimum 2 years) in applying statistical and machine learning techniques in healthcare research would be highly regarded.
  • Experience with handling big data, application of parallel computing, biomedical, clinical and/or pharmaceutical data analysis will be an added advantage.
  • Has good knowledge of Core AWS services and solutions. AWS certification is advantageous.
  • Team player who can communicate effectively within and across teams and stakeholders.