Bioinformatics Scientist

Boston Children’s Hospital; Boston (MA); Presencial; USD 95.000 - 130.000; Jornada completa

Descripción de la vacante

Boston Children’s Hospital is seeking a Research Informatics Specialist to build pipelines for analysis of single-cell RNA-seq and spatial transcriptomics data. You will collaborate with PhD researchers and clinicians to investigate mouse and human diseases, applying bioinformatics tools in an HPC environment.

The role involves training staff, presenting results, and contributing to publications within a pediatric research setting. Strong teamwork and communication are essential.

Formación

• Bachelor's degree in science, technology, engineering or mathematics; PhD preferred.
• At least 1 year of position-specific experience.
• Extensive knowledge of open-source bioinformatics software and HPC.
• Proficient in R, Python, SQL, Git; experience with AI tools and cloud computing is a plus.

Responsabilidades

• Provide computational support by applying bioinformatics tools; follow SOPs and best practices.
• Co-lead or participate in research computing projects; coordinate with stakeholders and contribute to publications.
• Train staff and researchers; tailor presentations for diverse audiences.
• Communicate scientific findings clearly through presentations, email, memos, and publications; present progress at meetings.

Conocimientos

Communication

Training

Collaboration

Public speaking

Educación

Bachelor's degree in STEM

PhD in Bioinformatics/Computational Biology or related

Herramientas

R

Python

SQL

Git

HPC environments

Cloud tools

Descripción del empleo

Position Summary:

Research Informatics 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 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 at BCH. The 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.

Key Responsibilities:

• 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.

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 open-source bioinformatics software and pipelines in high-performance computing (HPC) environments.


• Extensive knowledge of technologies used in support of biomedical research, such as R, Python, databases (SQL), version control (Git), scientific workflow and AI tools, and HPC clusters. Cloud computing tools would be a bonus.


• Strong publication record. Ability to effectively convey messages through written communication that are tailored to target audiences; meeting discussions and one-on-one verbal communications are clear and effective; ability to conduct effective meetings.