BACKGROUND

RESPONSIBILITIES

• Performs data and analysis-related tasks, including but not limited to (a) processing next-generation sequence data (NGS) applications including RNA-seq, single-cell RNA-seq (e.g. 10x) and B cell receptor repertoire sequencing, (b) processing flow cytometry data, (c) performing quality control and troubleshooting, (d) performing downstream analyses, and (e) recommending, creating and maintaining local bioinformatics databases, as well as making use of public databases
• Develops and implements software workflows, pipelines and tools, and analytical procedures supporting bioinformatics analysis
• Participates in informatics projects providing evaluation, design and building of databases, web applications and other services to support the needs of the investigators
• Identifies and resolves technical issues and proposes upgrades to current software
• Evaluates and identifies new technologies for implementation
• Interfaces with high-performance computing staff as needed
• As part of the research team in particular, (a) assists with the development of grant applications, presentation of results and scientific papers for publication, (b) participates in formal and informal training activities, and (c) maintains knowledge of current changes and developments in the bioinformatics fields through publications, communicating with subject matter experts, and attending related workshops and conferences
• Provides consultation and training on bioinformatics-related concepts, applications and tools
• Performs other duties as assigned

REQUIREMENTS

PREFERENCES

• Ability to work as part of a team
• Knowledge of theoretical and applied statistics, and molecular biology
• Knowledge of bioinformatics
• Analytical skills, problem-solving and troubleshooting skills
• Critical attention to detail
• Exceptional organizational skills
• Excellent verbal and written communication skills
• Demonstrated experience in a biological/biomedical field if a Computer Science graduate
• Demonstrated computer/software-development skills if a Biology graduate
• Experience with at least one data-rich biological platform, e.g.: RNA-seq, scRNA-seq, ATAC-seq, CHiP-seq, Rep-seq, Microbiome, Metabolomics, Multiparameter Flow Cytometry
• Demonstrated experience in:
  
  • A technical computing platform (e.g. Matlab, R)
  • A programming language (e.g. Perl, Python, Java)
  • Databases (e.g. relational, like MySQL or associative, like Neo4j)
  • High-performance computing

TERMS

LOCALE

COMPENSATION

HOW TO APPLY