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, PetaByte-scale high-performance storage and cloud platforms. We work with BCH scientists to develop solutions in support of cutting-edge research ranging from lattice light-sheet microscopy to CryoEM, genomics, and informatics.
The role will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq, bulk RNA-seq, proteomics and image data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines and web-based tools for the analysis, integration and sharing of these data. You will analyze, integrate different types of next-generation sequencing data and interpret the results and will have the opportunity to publish high-profile papers with prominent authorship depending on the intellectual contribution. The ideal candidate should have enthusiasm for developing collaborative relationships and a desire to foster the use of bioinformatics data in research studies.
Key Responsibilities:
- Providing computational support by applying a wide range of bioinformatics tools and technologies; completing assignments independently and on time; consistently adhering to and promoting standard operating procedures and best practices; maintaining and upgrading research computing tools and technologies, migrating data, documenting changes, and adjusting internal processes.
- Routinely leading or participating in complex 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; developing, implementing and maintaining knowledge management systems.
- Communicating scientific findings clearly through presentations, email, memos, and scientific publications; presenting progress at project and departmental meetings; facilitating productive discussions and problem-solving.
Minimum Qualifications
Education:
- Bachelor's degree in science, technology, engineering or mathematics. Preference for candidates with a Ph.D. in Bioinformatics, Computational Biology or related.
Experience:
- A minimum of one year of position-specific experience.
- Extensive knowledge of the use of bioinformatics computations in high-performance computing environments and web development, including open-source bioinformatics software and pipelines to support diverse bioinformatics analyses such as single-cell RNA-seq, bulk RNA-seq, proteomics, etc.
- Extensive knowledge of technologies used in support of biomedical research, such as programming languages (R and Python), databases (SQL), version control (Git), scientific workflow tools and high-performance computing clusters. Cloud computing tools would be a bonus.
- Ability to resolve a wide range of complex Research Computing assignments in support of biomedical research. Ability to routinely lead complex projects and coordinate project teams; readiness to seek advice and guidance when needed and to operate effectively in collaboration with scientists and clinicians; ability to follow, improve and create technical documentation and standard operating procedures.
- Strong publication record. Ability to effectively convey messages through written communication that are tailored to target audience; meeting discussions and one-on-one verbal communications are clear and effective; ability to conduct effective meetings, to present in departmental and hospital forums, and to develop training instructions and manuals.
