In Roche's Pharmaceutical Research and Early Development organization (pRED), transformative medicines are made for patients to tackle some of the world's toughest unmet healthcare needs. pRED is recruiting a Scientist/Senior Scientist to the Systems Biology group, part of the Cardiometabolic, Immunology, Infectious Diseases, and Ophthalmology (CMI2O) Department, located in Basel, Switzerland. We are seeking a creative and talented team-member to support our understanding of disease mechanisms.
Scientist / Senior Scientist
Your tasks:
* 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
Must Haves:
* A PhD in a relevant discipline
* A minimum of 5 years of postdoctoral experience, which may include professional experience within industry settings
* Ability 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 administration
* Experience of working alongside experimental 'wet-lab' scientists, and managing several concurrent projects with changing priorities
* Strong statistical, reporting, and data visualisation skills. Data, code, and project hygiene are essential
* A strong genetics foundation including experience with Mendelian Randomisation, GWAS, and integrative analysis e.g. proteogenomic modelling, is expected
* Expertise 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 systems
* Algorithm 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 studies
* Fluent English
Your Apllication:
Please apply online. For further information regarding the position, please contact your Kelly consultant, Ms. Marta Castellano, MSc Biology (+41 76 342 57 90; marta.castellano@gigroup.com).
Branche: Wissenschaften
Funktion: Forschung und Entwicklung
Führungsperson: Nein
Anstellungsart: Temporäre Arbeit
Karrierestufe: Angestellte/r