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)