Scientist / Senior Scientist

Scientist / Senior Scientist

• Playing a leading role in developing in silico experimental design and operation of a data-driven research group
• Undertake rigorous advanced analytics exploration of data from disease areas of strategic relevance
• Reproducible reporting of emergent biological insights to stakeholders
• Facilitating access to enterprise data and analysis tools for non-data scientists
• Performing, customising, and/or developing computational analyses/algorithms for raw data from sequencing-based assays, such as whole genome/exome sequencing, single-cell and bulk RNA-seq, and other data types (e.g. proteomics, genome-wide phenotypic screens)
• Pre-processing of raw datasets, high-level analysis, and visualisation to enable interpretation and deduce new biological insights
• Analyse large-scale datasets in collaboration with members of the group and internal collaborators
• Validation and optimisation of emerging computational research tools
• Facilitating and supporting research collaborations with Roche experimental scientists
• Tool and application development and maintenance (e.g. Shiny)
• Development and implementation of novel and existing standardised workflows and pipelines
• Data management, standardised reporting, and maximising democratised access to data and analytics consistent with FAIR principles
• Contribute to creation and revision of peer development curriculum for workshops and small-group training
• Ability to work as part of matrix teams, taking leadership as well as participant roles as needed to ensure the success of individual teams and the organisation. Experience building and maintaining stakeholder relationships across an organisation
• Ability to analyse and integrate a broad range of complex scientific information into higher level understanding and novel concepts, then translate those concepts into actionable concrete outputs and testable hypotheses

Application process