Software Engineer, Data Science, Data Viz

Vector Engineering | Cambridge, Ma

Date listed

2 months ago

Remote

Yes

Found on:

Responsive image Hacker News

The vector engineering group at the Stanley Center for Psychiatric Research at the Broad Institute is a technology development laboratory focused on engineering gene delivery vehicles to address specific needs of the neuroscience community.
Viral vectors have proven incredibly useful for studying the diversity of cell types and connectivity within the nervous system. The team applies high-throughput selection and screening to engineer recombinant viruses that enable more efficient and selective gene transfer to defined cell types in the CNS. The ultimate goal of these efforts is to develop treatments for psychiatric disorders by supporting hypothesis testing in a variety of model systems.
Additionally, we are developing https://covidcg.org, a platform for analyzing mutations in emerging SARS-CoV-2 strains in a location and date-specific manner. Tracking the evolution of SARS-CoV-2 will be crucial in developing/adapting diagnostics, evaluating policy interventions through tracking the spread of specific SARS-CoV-2 isolates, and monitoring the effectiveness of vaccines/therapeutics as they are implemented over the next few years.
We are looking for a software engineer (entry-level ok) with high attention to detail and a passion for developing tools to aid with the current COVID-19 pandemic and to advance gene therapy development. This position will be adding features to the https://covidcg.org application, as well as developing internal tooling to process, analyze, and visualize sequencing data from over 100 million virus variants.
Experience with web development, React, and python data science libraries (pandas, numpy, etc) is ideal but not required. Biology experience is preferred, but not required. We are an interdisciplinary team of biologists and computational scientists, and aim to grow our trainees to find future success in the field of computational biology.

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