Bioinformaticist - Inner Ear Research Laboratory

Education

Master's Degree Computational Biology preferred or

Bachelor's Degree Computational Biology required

Experience

Computational Sciences Experience 0-1 year preferred

Knowledge, Skills & Abilities

Demonstrated experience in infrastructure, programming languages and computational sciences.

Demonstrated ability working with open-source bioinformatics software.

Possess strong analytical skills including critical thinking, data modeling, problem solving and troubleshooting.

Strong organizational and interpersonal skills.

Ability to effectively communicate, both orally and in writing, to all levels of staff.

Excellent time management skills.

ESSENTIAL FUNCTIONS:

• Development of novel bioinformatics software tools, pipelines, databases, and resources for hearing disease genomic research.
• Analysis of next-generation sequencing data (e.g. Illumina NovaSeq/MiSeq) using existing analysis pipelines, publicly available or custom built, using local HPC cluster and cloud computing.
• Continued enhancement and development of existing data analysis pipelines for DNA sequencing and RNA-seq analyses.
• Work closely with other computational and experimental scientists to design and perform analyses.
• Application of bioinformatics for off-target analysis for editing.
• Critically review, summarize, and communicate results to our team and collaborators.

POTENTIAL FUNCTIONS:

• Analysis of primary human whole genome sequences and targeted capture sequences for genetic diagnosis of inherited disease
• Analysis of genomic sequencies across species to identify potential conserved elements in gene regulation.
• Development and extension of automated diagnosis algorithms
• Development of web-based tools for management and analysis of re-sequencing data.
• Design and facilitate the maintenance of databases used to process and analyze genomic, proteomic or other biological information.

EDUCATION AND EXPERIENCE:

• Master's or PhD in Computer Science, Bioinformatics, Computational Biology, or related quantitative discipline required.
• Strong programming skills in a modern scripting language such as Python, Perl, or similar.
• Experience with storing, extracting, and analyzing data from relational (SQL) databases. NoSQL experience is a plus.
• Web application experience with JavaScript, HTML, CSS, or language-specific frameworks (e.g. Django, Flask, Rails) is a plus.
• Experience with Cloud Computing is a plus.
• Experience with modern data science tools is highly desired (Pandas, Scikit-Learn, Jupyter, Numpy/Scipy).
• Experience with Unix/Linux environments, including shell scripting, required.
• The ideal candidate should have advanced computer skills combined with in-depth biological knowledge.
• Analytical expertise in one or more types of genomic data, especially next-generation sequencing, is highly desirable.
• Familiarity with modern bioinformatics resources and software strongly preferred.
• Strong data management experience and expertise.
• Excellent organization and communication skills.
• Ability to work independently and take initiative when necessary.
• Be accountable and meet deadlines.
• Strong interpersonal skills and the ability to work independently and yet function as part of the team are essential.

WORKING CONDITIONS:

Research area and office work environment. The bioinformaticist will work on the 3rd floor of the main MEE hospital, 243 Charles Street, Boston, MA. There is convenient access to MEE cafeteria on the 7th floor and, more importantly, abundant opportunities to interact with other MEE research groups and the Broad Institute Medical and Population Genetics community.