Job Overview:

We are seeking a highly motivated and skilled Data Analyst to join our team.

The successful candidate will play a crucial role in assisting with the analysis of biological data, including single cell RNA-seq analysis and multi-omics integration.

This position offers a unique opportunity to contribute to cutting-edge research projects and make a significant impact on the development of new therapies in the area of immunology and respiratory diseases.

Key Responsibilities:

• Perform bulk and single cell RNA-seq data analysis, including quality control, normalization, clustering, and differential expression analysis as well as downstream analyses like pathway activation, trajectory, and ligand receptor analysis.
• Assist with the integration of multi-omics data, such as genomics, transcriptomics, proteomics, and metabolomics, to uncover novel biological insights.
• Interpret and visualize complex biological data to generate actionable insights for ongoing research projects.
• Prepare clear and concise reports and presentations to communicate findings to both technical and non-technical audiences.
• Build, maintain and extend Shiny applications.
• Stay up-to-date with the latest developments in bioinformatics and data analysis techniques, and develop innovative analysis approaches to improve existing workflows.
• Collaborate with cross-functional teams to design and implement data analysis workflows and pipelines.
• Treat data with a high level of integrity, comply with all applicable regulations and maintain proper records in accordance with SOPs and company policies.

Skills:

• Strong programming skills in R and/or Python and prior experience building Shiny web applications.
• Familiarity with UNIX/Linux environments and high-performance computing clusters, including experience with UNIX shell scripting and Nextflow pipelines.
• Prior experience conducting single cell RNA-seq data analysis, including the use of popular tools and packages (e.g., Seurat, Scanpy) is required.
• Proficiency in multi-omics data integration and prior experience with spatial data analysis is a plus.
• Excellent problem-solving and analytical skills, with the ability to handle large and complex datasets.
• Demonstrated ability to produce well-designed and documented code and to troubleshoot both individually and as part of a team.
• A proactive and detail-oriented approach, with a strong commitment to delivering high-quality results.
• Strong communication and interpersonal skills, with the ability to communicate in a clear, transparent, timely and consistent manner and to work effectively in a multidisciplinary team.

Education:

Master's degree in Bioinformatics, Computational Biology, or a related field OR Bachelor s degree with 7 years of experience in a STEM discipline.