Role overview

We are hiring a Senior Bioinformatics Scientist who is excited to derive deep insights from novel types of spatial biology datasets, and directly impact development of our integrated measurements platform, ensuring we generate the highest value data. Our core technology captures unique pairings of high-resolution image data, protein measurements, RNA-FISH, and spatial NGS data from intact biological tissues. You will work with these datasets to design, pilot, and optimize core bioinformatic and advanced spatial-omic analysis methods. This includes developing advanced statistical models to drive the evolution of our next-gen technology. You will then work to democratize and deploy these methods to support platform standardization and empower scientist-driven analyses.

We are a very integrated team and platform, and a propensity to work collaboratively and openly share plans, progress, and insights is key. You will work closely with laboratory scientists to provide input on experimental protocol design and to collaborate on data analyses, partner reports, and shareable data packages. You will also work closely with software and data engineers to access and contribute analytical tools and data pipelines into our shared code base.

Core Responsibilities

• Design, build and deploy statistically rigorous computational workflows to analyze NGS data representing a wide range of sequence structures to advance our core technologies
• Develop algorithms and models for transcript quantification and cell-type deconvolution as part of our spatialomics technology development
• Work closely with the software engineering team in development and deployment of both automated production systems and scientist-driven data analysis platforms
• Work side-by-side with laboratory scientists to analyze and interpret experiments, and generate insights for pharma partners
• Provide guidance on experimental protocol design geared toward powering data insights, including scale and quality thresholds
• Prepare reports for internal and external communication of results

Required Qualifications

• PhD in Computational Biology, Bioinformatics, Statistics, Data Science, or a related field
• 2+ year of industry experience
• Expertise running and building a range of scalable bioinformatic workflows
• Experience in developing and applying statistical methods to NGS data, spatial transcriptomics and/or multimodal biological datasets
• Fluency in Python
• Experience troubleshooting a variety of NGS analyses
• Team player with demonstrated ability to lead rigorous and independent planning and execution of computational projects

Preferred Qualifications

• Fluency with Git and DevOps best-practices
• Fluency in R