The Bioinformatics & Cellular Genomics Laboratory is a newly funded group at SVI, established to solve the challenges of analysing and interpreting the large-scale biological data generated from medical research activity. In a jointly funded arrangement between SVI and the Melbourne Integrative Genomics Group (part of Melbourne University School of Mathematics and Statistics) and under the direction of NHMRC Fellow and Oxford graduate Dr Davis McCarthy, the Bioinformatics & Cellular Genomics Laboratory is capable of using large-scale studies of DNA and single-cell genetics to drive future medical discoveries.
We are seeking a motivated and successful postdoctoral Researcher to manage an independent project in single-cell genetics, developing new computational methods and open-source software to enable cloud-scale analyses of single-cell data. You will implement statistical and machine learning approaches and coordinate the processing and analysis of ‘omic data, identifying opportunities to customise more efficient workflows and methods where warranted.
The position also plays an important role in the overall performance and scientific activities of the laboratory as you will contribute to publications, assist in the supervision of students and present at seminars and lab meetings. The researcher will also have an organisation-wide responsibility in collaborating closely with the researchers of the wet-lab laboratories, providing computational expertise on experimental design and data analysis.
The successful incumbent will have a PhD (or equivalent) in a computational discipline relevant to bioinformatics and cellular genomics (bioinformatics, statistics, machine learning, computer science, applied mathematics, physics or similar) and possess advanced skills in using computer programming and scripting in R or Python and, ideally, familiarity with one or more of C++, Go, Nim, Rust, Java, Perl or SQL programming languages. You will have a demonstrated ability in the use of Unix-based systems, computing clusters and related queueing systems and in large-scale data analysis and management. Ideally you will have prior experience working in high-performance computing environments, including academic and/or commercial cloud computing platforms and experience using bioinformatics workflow management software (e.g. Snakemake, Nextflow, CWL). Your track record in bioinformatics, genomics, computational biology or other relevant quantitative fields will be evidenced by high-quality publications. Demonstrated experience developing open-source software and reproducible data analyses will be highly regarded.
Salary commensurate with qualifications and experience, ranging from $83,000 - $90,000 per annum, plus: 9.5% superannuation + generous $15,900 FBT exempt salary packaging
Applications addressed to Dr Davis McCarthy should include the following:
- Current CV
- Covering letter addressing selection criteria, as outlined on the Position Description
Enquiries Dr Davis McCarthy [email protected]
Applications only via Seek please https://www.seek.com.au/job/38047201?
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