Bioinformatician – Bioinformatics Core Facility, Cancer Research

At Peter Mac we aim to continuously improve cancer care, research and education across all cancers and for all people affected by cancer: changing lives, breaking new ground. Everything we do is underpinned by our core values, Excellence, Compassion and Innovation. Welcoming people from a wide variety of different backgrounds and experiences is critical to fostering innovation, cultivating compassion, attracting and retaining top talent and providing the best possible cancer care for our patients.

YOUR ROLE IN OUR FUTURE

Bioinformatician

• Part time , 2 year position
• Level A Equivalent [1RA6-1RA10]

We are seeking a skilled and dedicated Bioinformatician to join our dynamic team at the Bioinformatics Core Facility. The successful candidate will primarily focus on analyzing Whole Exome Sequencing (WES) and Whole Genome Sequencing (WGS) data, with a special emphasis on human variant detection and Single Nucleotide Polymorphism (SNP) calling. This role requires proficiency in handling Variant Call Format (VCF) files, including implementing advanced filters to refine data analysis processes. The ideal candidate will bring a strong background in bioinformatics, with significant experience in large cohort studies related to cancer risk assessment. This position offers the opportunity to contribute to cutting-edge research projects and collaborate with a team of experts in the field of cancer research.

Essential Requirements - Qualification, experience and skills:

• Master’s degree or higher in Bioinformatics, Computational Biology, Genetics, or a related field.
• Minimum of two-year relevant working experience with exposure to the analysis of Whole-Exome or Whole-Genome sequencing data for human disease research
• Proven ability to perform variant calling and SNP identification using bioinformatics tools and workflows.
• Extensive experience with the manipulation and filtering of Variant Call Format (VCF) files.
• Experience in the analysis of RNA-Seq and single-cell/ single-nuclei RNAseq data
• Strong background in statistical data analysis, particularly in the context of genetic data.
• Proficiency in programming and workflow languages commonly used in bioinformatics such as Python, R and Nextflow.
• Experience with Unix environment and shell scripting.
• Excellent written and verbal communication skills, with the ability to discuss work regularly with stakeholders and to present complex data to diverse audiences.
• Experience in assisting with grant writing and manuscript preparation.

Desirable Requirements:

• Experience in bioinformatics analyses specifically related to cancer or large cohort cancer risk studies.
• Experience in Nanostring spatial data analysis
• Experience in DNA methylation data analysis
• Experience in cloud computing, image analysis, deep learning, spark.
• Have experience and sound knowledge in machine learning, with a keen interest in NLP and LLM

Applicants to this role should provide a covering letter, resume and response to selection criteria outlining relative key skills and experience to assist us with our assessment.

For further information about this opportunity, click Apply to be redirected to the Peter Mac Careers page where you can review the position summary. Alternatively, please contact us using the information below for a confidential discussion.

Applications Close: 11:59 pm 29th August 2024