Lead Genomic Technologies Scientist – Translational Genomics

GlaxoSmithKline plc; Melbourne; On-site; AUD 180,000 - 260,000; Full time

Job summary

GSK invites a Principal Scientist to join the Genomic Technologies, Human Genetics and Genomics group in Melbourne. You will apply computational and statistical methods to enable insights from genetics data that guide drug discovery.

The role requires production-grade method development, large-scale analyses, and close collaboration with translational science teams. Strong programming, biobank experience, and cloud computing are essential for success.

Qualifications

• Advanced degree (PhD or equivalent) in a relevant scientific discipline.
• Experience working with large scale biobank data, such as UK Biobank and All of Us.
• Excellent programming skills in R or Python, with emphasis on reproducible research and FAIR data principles.
• Experience evaluating, improving, testing, and/or developing methods for analysis of large-scale genetics data.
• Strong communication and teamwork skills.
• Preferred: experience in cloud-based Trusted Research Environments.
• Experience with machine learning and distributed computing tools.

Responsibilities

• Evaluating, improving, testing, and developing production implementations of methods for analysis of genetic data, in collaboration with Data and Predictive Sciences, Biostatistics, or AI/ML teams.
• Generating large-scale analysis outputs and implementing tools for analysing, interpreting, and visualising genetic data.
• Collaborating with partners across HGG and Translational Sciences to influence portfolio decisions.
• Staying informed about current research and its potential applications within GSK.
• Contributing to a culture of innovation, quality, and continuous improvement.

Skills

Programming in R

Python

Statistical genetics

Machine learning

Data analysis

Education

PhD or equivalent

Tools

Cloud computing

Docker

Nextflow

BigQuery

SQL

PySpark

Job description

GSK invites a Principal Scientist to join the Genomic Technologies, Human Genetics and Genomics group in Melbourne. You will apply computational and statistical methods to enable insights from genetics data that guide drug discovery.

The role requires production-grade method development, large-scale analyses, and close collaboration with translational science teams. Strong programming, biobank experience, and cloud computing are essential for success.