Employer: CSL Limited

Closing date: 29th of September 2023

Brief position description: 
We have an opportunity available for a Senior Scientist, Translational Bioinformatics to join our Research Data Science team. In this newly created position, you will provide scientific and technical expertise to help answer biomedical research questions at the pre-clinical and clinical stage of drug development using advanced bioinformatics.

You will expand CSL’s R&D capability in Translational Bioinformatics in order to derive biological insights from large-scale multi-omic data available in public and commercial databases, as well as generated from in-house high-throughput sequencing and other omic experiments. These analyses will help answer questions in areas of key importance to CSL’s drug development pipeline, including asset positioning, biomarker discovery, understanding drug mechanisms of action, identifying new drug candidates, and patient stratification.

Reporting to the Senior Manager, Translational Bioinformatics, you will work closely with scientists within the Data Science Group, the Translational Science Group and other Research and Clinical Development groups to set project objectives and to determine and implement data generation, data analytics, and bioinformatics platform development strategies.

You will also work alongside CSL’s external collaborators including spending time in their research laboratories as required to enable alignment of objectives and bioinformatic strategies.

Your Skills & Experience:

PhD in bioinformatics, computational biology, computer science, or a related discipline, with significant computational and biomedical components.
3+ years of post-doctoral experience in biomedical data analytics in a highly collaborative, interdisciplinary environment in academia and/or industry with a focus on translational research.
Experience in analysing RNASeq datasets and working with life scientists to draw statistically solid biological insights from data.
Experience in genomic variant analysis on patient cohorts and/or utilizing genomic variant data from public databases to understand mechanism of action of targets, drug candidates or diseases and support translational biomarkers.
Experience in applying network biology and pathway analysis algorithms (using open source and/or commercial tools, e.g. IPA).
Experience in using public databases to answer key research questions related to experimental design, biomarker discovery and patient stratification (e.g., gene expression databases, clinical variants, etc.).
Experience in working in a Unix-like and high-performance computing (HPC) environment using Python, R and other scientific computing languages.
Apply now to join Australia’s leading biopharmaceutical company, committed to protecting public health!

Applications Close on 29th of September

Please include an up-to-date CV and Cover Letter addressing selection criteria.

About Us

Our Benefits

We encourage you to make your well-being a priority. It’s important and so are you. Learn more about how we care at CSL.

About CSL

CSL is a leading global biotechnology company with a dynamic portfolio of life-saving medicines, including those that treat haemophilia and immune deficiencies, as well as vaccines to prevent influenza. Since our start in 1916, we have been driven by our promise to save lives through innovation. Learn more about CSL.

We want CSL to reflect the world around us

As a global organisation with employees in 35+ countries, CSL embraces diversity, equity and inclusion. Learn more about Diversity, Equity & Inclusion at CSL.

Do work that matters at CSL!

Job website: http://csl.recsolu.com/jobs/mOcsxYVaimqryuNNf3-JTw/job_boards/rAD_La6OkYhQxVTHz3rLgA

Contact name: Arthur Hsu

Contact email: Arthur.Hsu@csl.com.au