Scientist - Systems Biology
Vor 2 Tagen
The perfect candidate owns a PhD degree and more than 5 years of postdoctoral experience. Additionally, the person possesses programming/scripting skills and experience of working alongside experimental 'wet-lab' scientists. A strong genetics foundation and an expertise in the integration and visualisation of multimodal data from human clinical and/or model systems are skills the candidate masters.
General Information:Start date: Planned duration: until Extension: possibleWorkplace: BaselWorkload: 80-100%Home Office: upon discussionWorking hours: standard
Tasks & Responsibilities:
Playing a leading role in developing in silico experimental design and operation of a data-driven research groupUndertake rigorous advanced analytics exploration of data from disease areas of strategic relevanceReproducible reporting of emergent biological insights to stakeholdersFacilitating access to enterprise data and analysis tools for non-data scientistsPerforming, 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 insightsAnalyse large-scale datasets in collaboration with members of the group and internal collaboratorsValidation and optimisation of emerging computational research toolsFacilitating and supporting research collaborations with experimental scientistsTool and application development and maintenance (e.g. Shiny)Development and implementation of novel and existing standardised workflows and pipelinesData management, standardised reporting, and maximising democratised access to data and analytics consistent with FAIR principlesContribute to creation and revision of peer development curriculum for workshops and small-group trainingAbility 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 organisationAbility 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
Must Haves:
A PhD degree in a relevant disciplineA minimum of 5 years of postdoctoral experience, which may include professional experience within industry settingsAbility to move across scientific domains, diseases, and biological scales with creativity Programming/scripting skills in R and/or Python is required. Working knowledge of Linux/Unix, with experience in data processing in an HPC cluster environment and basic understanding of computer systems administrationExperience of working alongside experimental 'wet-lab' scientists, and managing several concurrent projects with changing prioritiesStrong statistical, reporting, and data visualisation skills. Data, code, and project hygiene are essentialA strong genetics foundation including experience with Mendelian Randomisation, GWAS, and integrative analysis e.g. proteogenomic modelling, is expectedExpertise in graph theory and application of network-based approaches to biological data including building disease models, multi-layer graph models, graph search tools and graph representational learning, Bayesian and/or logic networks Expertise in the integration and visualisation of multimodal data from human clinical and/or model systemsAlgorithm development, data mining, and statistical analysis of large datasets (including approaches such as Bayesian statistics, Markov models, simulation models, graph/network exploration methods, and machine learning)Experience in handling, integration, and visualisation of multimodal data (e.g. CITE-seq and spatial transcriptomics data) and/or data from proteomics or metabolomics studiesFluent English
Nice to Have:
Knowledge of other programming platformsSignal transduction and perturbation modelling experience
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