Associate Director, Translational Bioinformatics

Description

The Opportunity

We have an exciting opportunity available for an Associate Director, Translational Bioinformatics to join our Research team, based at Bio 21 Institute, in the heart of Melbourne's Biomed Precinct.

In this newly created position, you will deliver a translational bioinformatics strategy for selected therapeutic areas and set priorities to support the execution and evolution of CSL R&D strategy. You will lead and collaborate with a lean global team of bioinformaticians with expertise in various -omics and high throughput screening technologies to develop and apply advanced bioinformatics methods and analyses to support translational activities across CSL R&D portfolio.

You will work with Therapeutic Area Leads, Translational Science and Clinical Development functions to deliver product strategies, data science plans and project goals focused on, but not limited to, MoA studies, predictive biomarker development, patient stratification and target discovery and validation. You will ensure robust experimental design of -omics and high throughput assays based on sound research and/or clinical questions.

You will report to the Head of Bioinformatics & AI and work with Data Science peer functions across R&D and I&T organizations, to provide bioinformatics and AI platforms and partnerships to advance translational research and allow the utility of -omics and high throughput technologies in R&D studies. Furthermore, you will support reviewing new product opportunities and partnerships from external collaborators to bring new projects into the pipeline and support the progression of existing research and clinical programs across multiple therapeutic areas.

You will collaborate with peer functions to establish and manage an integrative outsourcing strategy working with external collaborators from academia and industry and work with CSL’s academic partners to develop new bioinformatics & AI talent through undergraduate internships and postgraduate research co-supervision/placements.


Your skills and experience

PhD in computational biology, bioinformatics, statistical genomics, computer science, or a related discipline with computational and biomedical components.
4+ years post-doctoral experience in bioinformatic data analytics in a collaborative, interdisciplinary environment in academia and/or industry with a focus on translational research.
4+ years’ experience as a group lead in the biotechnology or pharmaceutical industry (or where relevant a biomedical research organisation).
Experience applying advanced statistical, bioinformatic and AI methods to analyse multi-omic datasets (including phenotypic, non-genomic assay, bulk tissue, and single cell data) and working with life scientists to draw statistically sound biological insights from experimental data.
Experience building and using bioinformatic methods and databases to answer key research questions related to experimental design, biomarker discovery, patient stratification and target discovery and validation (e.g., gene expression databases, clinical variants).
Experience working in a Unix-like and high-performance computing (HPC) environment on-premises and/or in the cloud using Python, R and other scientific computing languages.
Track record of publications and presentations at national and international conferences and industry events.


Qualifications

PhD in computational biology, bioinformatics, statistical genomics, computer science, or a related discipline with computational and biomedical components.
4+ years post-doctoral experience in bioinformatic data analytics in a collaborative, interdisciplinary environment in academia and/or industry with a focus on translational research.
4+ years’ experience as a group lead in the biotechnology or pharmaceutical industry (or where relevant a biomedical research organisation).


Start date

As soon as possible

How to Apply

Online: www.linkedin.com/jobs/view/3077194995/?trackingId=U78TBx2ISAqMYKx2leMI8Q%3D%3D


Contact

Monther Alhamdoosh