About This Role
This Scientist III role involves applying bioinformatics expertise to pharmaceutical research, focusing on immunological diseases. The position centers on designing and implementing NGS data analysis workflows to identify therapeutic targets and disease biomarkers, requiring strong skills in omics data analysis, visualization, integration, and mining.
Responsibilities
- Design, implement, and/or deploy NGS data analysis workflows for data processing, visualization, integration, and mining to support novel therapeutic target identification and disease biomarker discovery
- Implement methods for omics data analysis and interpretation of genomic data sets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq)
- Apply contemporary data visualization methods like R Shiny and D3
- Analyze diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects relevant to immune disease
- Utilize internal, collaborative, and public databases to assist in the characterization of immune disease
- Select and benchmark methods and tools, define and perform appropriate QC measures
- Apply and develop innovative analysis approaches when standard methods are not adequate
- Interpret and present analysis results to coworkers and collaborators
- Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
- Interpret the outcome of experiments, propose appropriate follow-up, and may propose new avenues of investigation
- Communicate own work effectively orally and in writing; contribute to writing protocols, procedures, and technical reports
- Automate processing and results reporting and delivery
- Report and treat data with a high level of integrity and ethics
- Comply with applicable regulations; maintain proper records in accordance with SOPs and policies
Requirements
- Strong scientific understanding and experience in bioinformatics
- Experience in pharmaceutical research and in immunological disease a plus
- Experience with more than one of the following: analyzing next-generation sequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data integration
- Good knowledge of existing bioinformatics databases and file formats
- In-depth understanding of computational methods for NGS analysis and the usage of public data resources
- Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages
- Demonstrated ability to produce well-designed and documented code
