Computational Biologist - Genomics

Placements24; Newlands; Hybrid; AUD 110,000 - 170,000; Full time

Benefits offered by this job

Remote work

Health insurance

Home office allowance

Professional development

Research computing resources

Job summary

Placements24 is seeking a highly skilled Computational Biologist with a focus on Genomics to join their fully remote, world-class research team. This role is vital for interpreting complex genomic datasets to unlock new biological insights and drive drug discovery efforts.

You will develop and apply cutting-edge computational pipelines, analyze NGS data, and build predictive models to guide research and therapeutic development, collaborating remotely with scientists across the globe.

Qualifications

• Ph.D. or Master's degree in Computational Biology, Genomics, Bioinformatics, Statistics, or a related quantitative field.
• Proven experience analyzing next-generation sequencing data and using bioinformatics tools.
• Proficiency in Python or R and familiarity with bioinformatics libraries (e.g., Bioconductor).
• Strong statistical skills and ability to apply methods to genomic data.
• Excellent remote collaboration and communication skills.

Responsibilities

• Analyze large-scale genomic datasets (WGS, exome, RNA-Seq) to extract biological insights.
• Develop pipelines for variant calling, annotation, and differential expression analysis.
• Collaborate with experimental teams to interpret findings and design follow-up experiments.
• Develop predictive models from genomic data to support drug discovery.

Skills

Python

R

NGS data analysis

Bioinformatics

Bioconductor

Education

Ph.D. in Computational Biology

Master's in a related field

Tools

Bioconductor

IGV

JBrowse

Job description

About the Role

Our client is seeking a highly skilled Computational Biologist with a focus on Genomics to join their fully remote, world-class research team. This role is vital for interpreting complex genomic datasets to unlock new biological insights and drive drug discovery efforts. You will employ cutting-edge computational tools and statistical methods to analyze large-scale sequencing data, identify genetic variations, and understand disease mechanisms. The ideal candidate is a proactive problem-solver, adept at managing and analyzing large datasets, and passionate about contributing to genomic research from a remote setting. This is an exceptional opportunity to make a significant impact in a collaborative, innovative environment without geographical limitations.

Key Responsibilities

• Analyze large-scale genomic datasets, including whole-genome sequencing, exome sequencing, and RNA-Seq data.
• Develop and apply computational pipelines for variant calling, annotation, and differential gene expression analysis.
• Identify genetic associations with diseases or specific phenotypes using statistical and bioinformatics approaches.
• Collaborate closely with experimental biologists and clinicians remotely to interpret findings and design new experiments.
• Develop predictive models based on genomic data to guide research and therapeutic development.
• Visualize and present complex genomic data in a clear and understandable format to diverse audiences.

Requirements

• Ph.D. or Master's degree in Computational Biology, Bioinformatics, Genomics, Statistics, or a related quantitative field.
• Proven experience in analyzing next-generation sequencing (NGS) data and related bioinformatics tools.
• Proficiency in programming languages such as Python or R, and familiarity with relevant bioinformatics libraries.
• Strong understanding of statistical methods and their application to biological data.
• Experience with population genetics, variant analysis, or transcriptomics is highly desirable.
• Excellent communication skills, crucial for effective remote collaboration and scientific discourse.

Benefits

• Highly competitive salary and performance-based bonuses.
• Full remote work flexibility, allowing you to work from anywhere.
• Comprehensive health, dental, and vision insurance coverage.
• Generous allowance for home office setup and professional development (courses, conferences).
• Access to powerful computing resources and collaborative online platforms for research.