Vaccine Adjuvant Research Fellow with ML/AI

Griffith University Employees, Location, Alumni

Brisbane

On-site

AUD 92,000 - 107,000

Full time

9 days ago

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Job summary

The Research Fellow will join a team at Griffith University Brisbane South (Nathan) on an NHMRC Centre of Research Excellence project focused on vaccine adjuvant discovery and development. The role involves testing large libraries of compounds, in vitro and in vivo assays, and applying machine learning to triage hits, with responsibility for program management and reporting.

Applicants should hold a PhD in cell or molecular biology / vaccinology, with experience in cell culture, data analysis,

Qualifications

  • PhD in cell or molecular biology / vaccinology.
  • Experience with cell culture and lab work.
  • Experience managing large datasets and data analysis.
  • Excellent written and spoken communication; strong record keeping.
  • Ability to work collaboratively and independently.
  • Flexibility to adjust working hours to meet deadlines.

Responsibilities

  • Implementation of cytotoxicity, endotoxin and related assays
  • In vivo immunogenicity and reactogenicity studies in mice
  • Develop ML/AI approaches for compound triaging
  • Contribute to immunological assays as required
  • Data analysis and preparation of reports, presentations and publications
  • Act as Program Manager for the Centre of Research Excellence

Skills

Laboratory work
Cell culture
Data analysis
Therapeutic discovery
Time management

Education

PhD in biology

Tools

Machine learning

Job description

The Research Fellow will join a team at Griffith University Brisbane South (Nathan) on an NHMRC Centre of Research Excellence project focused on vaccine adjuvant discovery and development. The role involves testing large libraries of compounds, in vitro and in vivo assays, and applying machine learning to triage hits, with responsibility for program management and reporting.

Applicants should hold a PhD in cell or molecular biology / vaccinology, with experience in cell culture, data analysis,

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