Scientist / Senior Scientist, Basel

vor 1 Tag

Basel, Schweiz TN Switzerland Vollzeit

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.

Responsibilities:
  • 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, customizing, 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 visualization to enable interpretation and deduce new biological insights
  • Analyze large-scale datasets in collaboration with members of the group and internal collaborators
  • Validation and optimization 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 standardized workflows and pipelines
  • Data management, standardized reporting, and maximizing democratized 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 visualization 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 visualization 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 visualization of multimodal data (e.g. CITE-seq and spatial transcriptomics data) and/or data from proteomics or metabolomics studies
Your Application:

Please apply online. For further information regarding the position, please contact your Kelly consultant, Ms. Marta Castellano, MSc Biology (+41 76 342 57 90; [emailprotected]).

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