Computational Biology

1 week ago

Sydney, Australia KE Select Full time

Sydney, Melbourne locations. Remote work potential
- Cutting-edge genomic science. CPG cloud environment
- Generous salary packaging

**The company**

Our client brings together world leading researchers and clinicians, collaborating locally and globally, to improve human health. Their mission is to harness all the information encoded in our genome to better diagnose, treat, predict and prevent disease. From the individual patient with rare disease, to the many thousands affected by complex, widespread illness, we are pioneering discoveries across diseases that have the deepest impact on our community.

**The role**
- Managing the ingestion of data into the CPG cloud environment, including handling metadata and performing pre-processing or data restructuring as required
- Processing and analysing large genomic datasets using cloud-based pipelines to produce high-quality genomic resources, including tasks such as variant calling and quality control assessment
- Working closely with bioinformaticians and software developers to build data analysis pipelines suitable for large-scale genomic datasets, including the refinement of existing pipelines and the development of novel solutions
- Analysing diverse genomic datasets to produce shareable resources that have the potential for real-world impact on health outcome.

**About you**
- Formal qualifications (PhD OR Master of Science with 2+ years of related experience OR Bachelor of Science with 3+ years of related experience) in human genetics, computational biology, functional genomics, or a related field.
- Fluent in at least one programming language (Python and/or R preferred) and the Linux command line interface
- Experience working with high-performance and/or cloud computing environments
- Experience wrangling large datasets and/or complex data types, ideally from the genomics field

**DESIRABLE SKILLS**

The following skills and experience would be beneficial:

- Direct experience with cloud computing and pipelining tools
- Experience performing processing, quality control and analysis of very large genomic data sets, including handling metadata and cleaning raw data

**Benefits**
- Generous salary packaging to save you income tax on your wages thereby boosting your monthly take home pay (max. $15,900 general expenses + $2,650 meals/accom)
- Flexible work arrangements e.g. location, start / finish times etc
- 18 weeks paid parental leave for both parents including paid superannuation
- Discounted Health Insurance

**How to apply**

**Brent Hunter**

**0402 776 558

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