Senior Bioinformatician

Quantori
Newcastle upon Tyne
1 year ago
Applications closed

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We are seeking a skilled and motivated Senior Bioinformatician / Data Scientist to join our dynamic team at Quantori. In this role, you will have the opportunity to work on a diverse range of projects, utilizing your expertise in bioinformatics and data science to tackle complex scientific challenges. As a key member of our team, you will contribute to the development and application of cutting-edge computational methods and algorithms, enabling our clients to gain valuable insights from their data


Responsibilities:


  • Collaborate closely with clients to understand their specific research goals and design tailored bioinformatics and data analysis solutions.
  • Collaborate with interdisciplinary teams of biologists, geneticists, and data scientists to develop and implement computational strategies for analyzing large-scale biological datasets.
  • Develop and implement computational pipelines and workflows for processing and analyzing diverse biological data types, including genomics, transcriptomics, proteomics, and metabolomics.
  • Participate in developing pipelines for processing NGS data (single-cell and bulk RNA-seq) by using Nextflow.
  • Perform statistical analysis and data mining to identify patterns, correlations, and biomarkers.
  • Apply statistical modeling and machine learning techniques to identify patterns, correlations, and predictive models from large-scale datasets
  • Stay up-to-date with the latest advancements in bioinformatics and contribute to the continuous improvement of existing methodologies and algorithms.
  • Present findings and results to internal teams and external stakeholders in a clear and concise manner.


What we expect:


  • Experience in: Unix, SQL databases (PostgreSQL), REST APIs, Cloud computing (AWS), and HPC (High Performance Computing)
  • Solid understanding of bioinformatics concepts, algorithms, and tools
  • Proven experience in analyzing high-throughput genomic, transcriptomic, or proteomic data
  • Hands-on experience with creating single-cell and bulk RNA-seq data processing pipelines
  • Proficiency in pipeline development using Nextflow (preffered), Cromwel or other popular framework
  • Programming skills: Solid Python programming skills, as well as experience in other programming languages and experience with relevant bioinformatics software and tools
  • Solid knowledge of statistical analysis, machine learning, and data mining techniques
  • English level B2 or higher
  • Strong communication and negotiation skills in interactions with the research scientists


Nice to have:


  • Experience in next-generation sequencing (NGS) data analysis and variant calling
  • Knowledge of structural bioinformatics and molecular modeling
  • Familiarity with cloud computing platforms and big data analysis frameworks
  • Prior experience in the analysis of single-cell RNA sequencing (scRNA-seq) or single-cell genomics data
  • Familiarity with cloud computing platforms and big data analysis frameworks
  • Experience with processing scTCR and scCITE-seq data
  • Experience with deploying pipelines to AWS
  • Familiarity with Cell Ranger and/or TRUST4 software packages
  • Strong communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams and communicate complex concepts to non-technical stakeholders
  • Experience with orchestration tools and virtualized environments (Docker, K8S)

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