Bioinformatics Engineer (Capsid Discovery)

About Voyager

 Voyager Therapeutics (Nasdaq: VYGR) is a biotechnology company dedicated to breaking through barriers in gene therapy and neurology. The potential of both disciplines has been constrained by delivery challenges; Voyager is leveraging innovative expertise in capsid discovery and deep neuropharmacology capabilities to address these constraints. Voyager’s TRACER AAV capsid discovery platform has generated novel capsids with high target delivery and blood-brain barrier penetration at low doses, potentially addressing the narrow therapeutic window associated with conventional gene therapy delivery vectors. This platform is fueling alliances with Pfizer Inc., Novartis and Neurocrine Biosciences as well as multiple programs in Voyager’s own pipeline. Voyager’s pipeline includes preclinical programs in Parkinson’s disease, Alzheimer’s disease, and amyotrophic lateral sclerosis (ALS), each with validated targets and biomarkers to enable a path to rapid potential proof-of-biology. For more information, visit www.voyagertherapeutics.com

Job Summary
Voyager Therapeutics is seeking an innovative, collaborative, and enthusiastic bioinformatician to work on a variety of high-dimensional bioinformatics projects centered on target identification, drug discovery and translational research. Play a key role in integrating and analyzing internal and external datasets from high throughput assays such as NGS, scRNA Seq, etc. They will focus on the implementation and maintenance of effective pipelines to process, manage and analyze data from genomic platforms. A critical component of the job will be the close collaboration with research scientists and other computational scientists on the application of research methods as well as the management, visualization, and presentation of data to help guide a multi-disciplinary internal discovery teams.

Key Responsibilities

• Work with Computational Biology team to develop and apply custom bioinformatics algorithms and software to solve complicated computational challenges.
• Apply, maintain, and improve robust analytic pipelines to process, organize and integrate large scale internal/external genomic data sets.
• Work with external partners to support research as needed.
• Design and implement accompanying tools for data visualization and presentation.
• Provide customized ad-hoc analysis support to Lab Scientists, including the identification/application of commercial/published tools to support research goals.
• Organize, interpret and present data for peer-review

Qualifications

• MS/BS in Computational Biology, Bioinformatics, Statistics, Computer Science with 0-2 yrs. of experience in industry and/or academic research; knowledge of scientific principles and concepts. Prior work in oncology/immunology a plus.
• Technically proficient in statistical analysis (e.g., Python and R) and engineering for data science (e.g., version control, containerization, and workflow languages like Nextflow)
• Experience with NGS data and NGS analysis pipeline setup and execution
• Experience applying new tools for the integrative analysis and visualization of multi-dimensional datasets
• Track record of building, tuning and operationalizing machine learning models
• Experience sharing data solutions using web apps such as Streamlit and R-Shiny to a wider audience
• Excellent verbal, written, analytical, and presentation skills; communicate a clear vision down, up, and across