Identify novel therapeutic targets and disease biomarkers for immune, cardiorenal, and liver diseases through the analysis, visualization, integration, and mining of next-generation sequencing (NGS) and multi-omics data.
Requirements
- analyzing 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 required.
- 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 and familiarity with code repositories such as GitHub.
- Experience in utilizing LLMs through APIs.
- Experience with statistics and/or machine learning.
Responsibilities
- Design, implement and/or deploy next generation sequencing (NGS) data analysis workflows for data processing, visualization, integration and mining to support novel therapeutic target identification and disease biomarker discovery.
- apply and, when necessary, identify and implement methods for omics data analysis, and interpretation of genomic data sets (e.g., NGS including single cell and spatial RNA-Seq, proteomic and multi-omics)
- Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects relevant to 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.
- Automate processing and results reporting and delivery.
Other
- Master’s degree from an accredited institution with one-plus (1+) years of experience in a related scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelor’s degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline.
- Must enjoy working in a multi-disciplinary and collaborative environment.
- Ability to troubleshoot both individually and as part of a team.
- Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner.
