Bioinformatics Scientist

Position Summary

Research Computing supports basic, translational, and clinical research by providing researchers with access to digital tools and technologies. Our computing environment consists of high-performance computing clusters, virtual machines, Peta Byte-scale high-performance storage and cloud platforms. We work with scientists to develop solutions in support of cutting-edge research ranging from lattice light-sheet microscopy to CryoEM, genomics, and informatics.

You will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq and spatial transcriptomics data to investigate mouse and human diseases as well as with other pediatric scientists  primary responsibilities will be building pipelines for the analysis, integration and sharing of these data. The ideal candidate should have enthusiasm for developing collaborative relationships and a desire to foster the use of bioinformatics data in research studies.

• Providing computational support by applying a wide range of bioinformatics tools and technologies;
  With supervision and direction, completing assignments in the required timeframe while consistently adhering to standard operating procedures and best practices; adapting to a changing environment, resolving problems associated with assignments and seeking supervisor assistance when needed.
• Routinely co-leading or participating in research computing projects with other members from the BCH research community; setting goals and objectives for projects and demonstrating achievement of those goals and objectives; coordinating work activities with other stakeholders; contributing to the resulting presentations and/or publications.
• Training staff and researchers; effectively tailoring presentations.
• Communicating scientific findings clearly through presentations, email, memos, and scientific publications; presenting progress at project and departmental meetings; facilitating productive discussions and problem-solving.

Education:

• Bachelor's degree in science, technology, engineering or mathematics.
• Ph.D. in Bioinformatics, Computational Biology or related preferred.

Experience:

• Minimum of one year of advanced bioinformatics experience
• Extensive knowledge of the use of open-source bioinformatics software and pipelines in high-performance computing (HPC) environments.