The individual will be a core team member working with other faculty, students and postdocs and will be responsible for analysis of large scale cancer germline and tumor next generation sequencing and microarray data sets. The position allows to build algorithms and a small part of software development. Existing bioinformatics pipelines as part of the CGRL/Niehaus Center will need to be run and updated as per current trends. The position necessitates the ability to multitask on projects as well as produce results in a timely fashion, sometimes with rapid turn-around times with limited supervision.
Job duties will include:
- Develop, benchmark and implement novel analysis approaches and softwares; Maintain, modify and version track in-house code and pipelines.
- Analyze sequencing data using established workflows; Perform statistical analysis of large sequencing and genotyping datasets in diverse cancer cohorts.
- Assist in management of internal data as well as aggregate large externally available data sets including public and dbGAP resources.
- Expertise in germline and tumor sequencing. Additional knowledge of RNA-Seq would be preferred.
- Document progress and updates using JIRA and SOPs on Confluence.
- MS degree in bioinformatics, computer science, biology, biochemistry or similar;
- Excellent programming skills in R, Python, JAVA, BASH;
- Experience working in a Linux environment as well as high performance computing environment;
- Team oriented with excellent written and verbal communication skills;
- Training in statistics or machine learning preferred;
- Database & web development skills would be an added advantage
- Expertise in NGS data analysis required, however functional genomics and/or human genetics is desirable